Data Science Internship Jobs in Bristol, CT

*** How much experience do you have as a Data Analyst/Scientist or related? *** How much experience do you have writing scripts in SQL or Python? *** What is your visa status (US Citizen, Greencard Holder, H1-b, etc.)? *** What is your target base salary? *** Where do you currently live (city, state)? *** Are you able to work onsite in Brewster, NY? *** What is your availability to start a new role?

Do you want to get a foot in the door and perhaps even get the chance to interview early for one of the best technology jobs in the world? If so, you may be an ideal candidate for our internship program. Gain invaluable experience in what it is like to work at a leading global hardware and software systems innovator - Oracle. Your colleagues are industry experts and knowledgeable veterans. Your contributions will enhance real Oracle products and services. By the end of your internship you will be connected to a powerful network of professionals, managers, and executives. Completed second year of undergraduate degree in computer science, computer engineering, electrical engineering, or related area of study. Strong academic achievement. Strong interest in technical area of study. **The Program:** Our future success depends on hiring extraordinary, early in career talent who are looking to power next-generation services and solutions. We are hiring bachelor's and master's degree students with a diverse set of skills and experiences to work in and across multiple teams within Oracle. Our program is intended to enhance your overall learning experience, help build your network, and accelerate your opportunity to make an impact. Create the future with us! **The Company:** Oracle is the world's leading provider of business software! With a presence in over 175 countries, we are one of the biggest technology companies on the planet. We're using innovative emerging technologies to tackle real-world problems today. From advancing energy efficiency to reimagining online commerce, the work we do is not only redefining the world of business-it's helping advance governments, power nonprofits, and giving billions of people the tools they need to outpace change. For more information about Oracle (NYSE:ORCL), visit us at oracle.com. Career Level - IC0 **Responsibilities** **What You'll Do:** Data Scientist Intern responsibilities may include, but are not limited to: + Work on multiple stages of data science projects, including data pipeline, aggregation, feature engineering, modeling and visualization. + Develop models to build solutions to tackle real-world business problems + Interact with product and service teams to identify questions and issues for data analysis and experiments + Communicate your analysis findings to product, service, and business managers We are seeking to grow the data science capabilities with forward-thinking and diverse interns with exceptional technical ability. This is an exciting role that will stretch your knowledge and curiosity, while at the same time is a phenomenal opportunity to learn new skills and work within an unusually talented, global community at Oracle. **What You'll Bring (Objective Minimum Qualifications):** To be considered for a Data Scientist Intern position, you must possess the Objective Minimum Qualifications (OMQs) below. **Please ensure that your application clearly indicates that you meet these OMQs** , either on your resume and/or by uploading additional documents such as a transcript. + Will be enrolled in a Bachelor's, Master's or PhD degree program in an applied business or quantitative field such as Statistics, Operations Research, Applied Mathematics, Computer Science, Economics, Business Analytics, or equivalent field during the 2024-2025 school year. + Have completed **at least your junior year** toward your undergraduate degree, or higher, by summer 2024. + Have academic coursework, projects, internships, and/or research experience with tools needed to execute the more technical aspects of statistical data analysis, including proficiency (e.g., can complete projects without any assistance) in **at least one** of the following programming languages: + Python, Java, R, SQL, PL/SQL. + Have experience through coursework, projects, internships, and/or research with **at least one** of the following libraries: + Numpy, Scipy, Matplotlib, SciKit, TensorFlow, PyTorch, Spark + Have completed coursework, projects, internships, and/or research in **two or more** of the following: + Algorithms + Artificial Intelligence + Big Data Query + Data Mining + Data Modeling + Machine Learning + Statistical Inference/Analysis + Attend a university in the US. + Authorized to work in the US in 2025. + No visa sponsorship available + Must be enrolled in a university prior to and following internship completion Disclaimer: **Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.** **Range and benefit information provided in this posting are specific to the stated locations only** US: Hiring Range: from $18.99 to $53.00 per hour; from $39,500 to $110,240 per annum. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_************* or by calling *************** in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Who Are We? Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 160 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. Job CategoryData ScienceCompensation Overview The hourly salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual hourly rate for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. Salary Range$35.00 - $44.00Target Openings30What Is the Opportunity?The goal of the Data Science Leadership Development Program (DSLDP) internship is to attract and develop self-motivated individuals who are highly skilled and passionate about a career in data science while providing a foundation for future success within the organization. As a DSLDP intern, you will be exposed to a challenging professional work experience in data science with planned activities giving you insight into the community at Travelers, and the many ways we solve business problems using cutting edge statistical and analytical techniques. You will assist to design, develop and program methods, processes, and systems to consolidate and analyze unstructured and structured, diverse data sources to generate actionable insights and solutions for client services and product enhancement. With many company-wide events such as Intern Symposium and community outreach events, you will have the opportunity to interact and network with many levels of leadership and management. You will be expected to work together with fellow interns to develop and present solutions to relevant business and data science topics. Housing - The Internship program is based in Hartford, CT and St. Paul, MN. Positions are available in our Business Units and Corporate Departments. Subsidized apartments are available for students who live beyond a commutable distance from Hartford, CT or St. Paul, MN. Positions are available early June through the end of the summer.What Will You Do? The internship offers a training curriculum focused on data science and business acumen. Other program components include formal mentoring, networking, and career guidance. DSLDP Intern duties will vary based on the specific assignment, within one of our research groups, including: Bond & Specialty Insurance Business Insurance Research & Development Claim Business Intelligence & Analytics Personal Insurance Research & Development Other departments, including Artificial Intelligence and Emerging Technologies Work includes: Providing recommendations on projects that deal with data science related concepts Designing and building statistical models, analyses at the right level of complexity to produce relevant results for the business Identifying, integrating and structuring complex data flows Identifying new opportunities for analytic solutions Validate, manipulate and perform data analysis tasks Provide qualitative and quantitative data support to ensure accuracy of metrics Perform other duties as assigned. What Will Our Ideal Candidate Have? Pursuing a Master's or PhD level degree in Statistics, Mathematics, or Data Science. Applied statistical knowledge and experience solving “real-world” problems. Demonstrated ability to communicate technical concepts to a non-technical audience. Experience with a programming language (Python, R, SAS, etc). Accountability: Strong track record of taking ownership and responsibility for actions and outcomes, performance, and results. Analytical and Critical Thinking: Demonstrated aptitude in identifying current or future problems or opportunities, analyzing data, synthesizing and comparing information to understand issues, identifying cause/effect relationships and exploring alternative solutions to support sound decision making. Change Management/Resilience: Ability to remain energized and focused in the face of ambiguity, change or strenuous demands. Customer Focus: Proven customer service skills with the ability to provide service excellence to internal or external clients. Emotional Intelligence: Demonstrated track record of self and social awareness, empathy and balances confidence with humility. Interpersonal: Excellent communication skills with the ability to actively engage with others while maintaining a positive attitude. Judgment/Decision Making: Capability of exercising sound judgment, making decisions and committing to a position. Leveraging Differences: Proven capacity to works with and include people from different backgrounds, experiences, cultures, races, etc. and view those differences as assets to be leveraged to accomplish business goals and objectives. Relationship Management: Strong relationship management skills including the ability to seek out, build, foster and maintain productive relationships, networks or alliances to meet goals and achieve results. Teamwork: Ability to work together in situations when actions are interdependent, and a team is mutually responsible to produce a result. Work Ethic: Possession of a strong drive to do what it takes to get the job done; inquisitive and demonstrates a strong willingness to learn. What is a Must Have? Obtained a Bachelor's degree in Statistics, Mathematics, Decision Sciences, Actuarial Science, or a related analytical STEM field. Legally authorized to work in the United States now and in the future. Employment Practices Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. We are committed to providing accommodation to persons with disabilities. If you require accommodation during the recruitment or interview process we will work with you to accommodate your needs. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit *********************************************************

Country: United States of America Data Science and Analytics Intern Otis is seeking a Data Science intern who will be exploring operational, equipment sensor, passenger traffic and market data to define strategy, improve performance, recognize latest trends, and identify market growth opportunities. On a typical day you will: Collect analytical requirements from colleagues inside the D&A team and in business groups. Search for data in various data platforms. Analyze and clean data, build appropriate models to discover meaningful business insights and actionable suggestions to operating units. Discuss and present findings and results to colleagues and stakeholders. What You Will Need to be Successful: * Complete at least 18 months in graduate program in Data Science, Operations Research, Industrial Engineering, Statistics, Computer Science, Mathematics, or comparable field * Extensive experience manipulating data and building Machine Learning models * Strong programming skills on various languages including Python and SQL. PREFERRED Experience with working on GenAI related technologies Experience with working in Elevator related industries Local Benefits or Selling Statement Data science team that promotes peer learning and knowledge sharing Apply today to join us and build what's next! If you live in a city, chances are we will give you a lift or play a role in keeping you moving every day. Otis is the world's leading elevator and escalator manufacturing, installation, and service company. We move 2 billion people every day and maintain approximately 2.2 million customer units worldwide, the industry's largest Service portfolio. You may recognize our products in some of the world's most famous landmarks including the Eiffel Tower, Empire State Building, Burj Khalifa and the Petronas Twin Towers! We are 69,000 people strong, including engineers, digital technology experts, sales, and functional specialists, as well as factory and field technicians, all committed to meeting the diverse needs of our customers and passengers in more than 200 countries and territories worldwide. We are proud to be a diverse, global team with a proven legacy of innovation that continues to be the bedrock of a fast-moving, high-performance company. When you join Otis, you become part of an innovative global industry leader with a resilient business model. You'll belong to a diverse, trusted, and caring community where your contributions, and the skills and capabilities you'll gain working alongside the best and brightest, keep us connected and on the cutting edge. We provide opportunities, training, and resources, that build leadership and capabilities in Sales, Field, Engineering and Major Projects and our Employee Scholar Program is a notable point of pride, through which Otis sponsors colleagues to pursue degrees or certification programs. Today, our focus more than ever is on people. As a global, people-powered company, we put people - passengers, customers, and colleagues - at the center of everything we do. We are guided by our values that we call our Three Absolutes - prioritizing Safety, Ethics, Quality in all that we do. If you would like to learn more about environmental, social and governance (ESG) at Otis click here. Become a part of the Otis team and help us #Buildwhatsnext! Otis is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. To request an accommodation in completing an employment application due to a special need or a disability, please contact us at ****************. Privacy Policy and Terms: Click on this link to read the Policy and Terms

Who Are We? Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 160 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. Job CategoryData ScienceCompensation Overview The hourly salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual hourly rate for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. Salary Range$35.00 - $44.00Target Openings30What Is the Opportunity?The goal of the Data Science Leadership Development Program (DSLDP) internship is to attract and develop self-motivated individuals who are highly skilled and passionate about a career in data science while providing a foundation for future success within the organization. As a DSLDP intern, you will be exposed to a challenging professional work experience in data science with planned activities giving you insight into the community at Travelers, and the many ways we solve business problems using cutting edge statistical and analytical techniques. You will assist to design, develop and program methods, processes, and systems to consolidate and analyze unstructured and structured, diverse data sources to generate actionable insights and solutions for client services and product enhancement. With many company-wide events such as Intern Symposium and community outreach events, you will have the opportunity to interact and network with many levels of leadership and management. You will be expected to work together with fellow interns to develop and present solutions to relevant business and data science topics. Housing - The Internship program is based in Hartford, CT and St. Paul, MN. Positions are available in our Business Units and Corporate Departments. Subsidized apartments are available for students who live beyond a commutable distance from Hartford, CT or St. Paul, MN. Positions are available early June through the end of the summer.What Will You Do? The internship offers a training curriculum focused on data science and business acumen. Other program components include formal mentoring, networking, and career guidance. DSLDP Intern duties will vary based on the specific assignment, within one of our research groups, including: Bond & Specialty Insurance Business Insurance Research & Development Claim Business Intelligence & Analytics Personal Insurance Research & Development Other departments, including Artificial Intelligence and Emerging Technologies Work includes: Providing recommendations on projects that deal with data science related concepts Designing and building statistical models, analyses at the right level of complexity to produce relevant results for the business Identifying, integrating and structuring complex data flows Identifying new opportunities for analytic solutions Validate, manipulate and perform data analysis tasks Provide qualitative and quantitative data support to ensure accuracy of metrics Perform other duties as assigned. What Will Our Ideal Candidate Have? Pursuing a Master's or PhD level degree in Statistics, Mathematics, or Data Science. Applied statistical knowledge and experience solving “real-world” problems. Demonstrated ability to communicate technical concepts to a non-technical audience. Experience with a programming language (Python, R, SAS, etc). Accountability: Strong track record of taking ownership and responsibility for actions and outcomes, performance, and results. Analytical and Critical Thinking: Demonstrated aptitude in identifying current or future problems or opportunities, analyzing data, synthesizing and comparing information to understand issues, identifying cause/effect relationships and exploring alternative solutions to support sound decision making. Change Management/Resilience: Ability to remain energized and focused in the face of ambiguity, change or strenuous demands. Customer Focus: Proven customer service skills with the ability to provide service excellence to internal or external clients. Emotional Intelligence: Demonstrated track record of self and social awareness, empathy and balances confidence with humility. Interpersonal: Excellent communication skills with the ability to actively engage with others while maintaining a positive attitude. Judgment/Decision Making: Capability of exercising sound judgment, making decisions and committing to a position. Leveraging Differences: Proven capacity to works with and include people from different backgrounds, experiences, cultures, races, etc. and view those differences as assets to be leveraged to accomplish business goals and objectives. Relationship Management: Strong relationship management skills including the ability to seek out, build, foster and maintain productive relationships, networks or alliances to meet goals and achieve results. Teamwork: Ability to work together in situations when actions are interdependent, and a team is mutually responsible to produce a result. Work Ethic: Possession of a strong drive to do what it takes to get the job done; inquisitive and demonstrates a strong willingness to learn. What is a Must Have? Obtained a Bachelor's degree in Statistics, Mathematics, Decision Sciences, Actuarial Science, or a related analytical STEM field. Legally authorized to work in the United States now and in the future. Employment Practices Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. We are committed to providing accommodation to persons with disabilities. If you require accommodation during the recruitment or interview process we will work with you to accommodate your needs. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit *********************************************************

WE ARE OFFERING AN UNPAID INTERSHIP AT F45 IN WEST HARTFORD, CT. One will gain experience with: * In Person Coaching * Movement Correction and Assessment * Nurtritional Guidance * Scheduling * Studio Maintenance * In Body Assessments Perks: * Hands on training experience * F45 Gear * Discounted Personal Training Certification * Flexible schedule * Workout for free * Fitness casual dress - F45 uniform provided * Passionate, fun, and collaborative work environment Ideal Canidate: * Energetic trainers with GREAT character and a thirst for learning to join our super fun team and postion. * Have a growth mindset and wants to be part of a high performing and understanding team * Is a positive spark, doesn't take things too seriously, but is still professional and values personal connections * Up for a challenge, you thrive in a fast-paced, ever-evolving environment and like the idea of meeting lots of people and keeping our members happy Compensation: $0.10 per year We embody and live our brand. We are natural team players who have big ideas. We know that a strong team is a diverse team, and we use diversity as a means to get creative and build a company that changes lives. Most importantly, at F45, we care about each other. We have fun, solve problems and hand out a ton of high-fives. CULTURE THAT CRUSHES IT Our mission at F45 is to create the world's greatest workout. This isn't only about creating an unbelievable fitness experience-it's about building a community and culture. As evidenced by HQ and every F45 studio around the world, culture isn't just about appearance. It's about our core beliefs, how we treat each other, how we make decisions, and most importantly, bringing a sense of fun and friendship to everything we do.

Who Are We? Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 160 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. Compensation Overview The hourly salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual hourly rate for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. Salary Range $35.00 - $44.00 Target Openings 30 What Is the Opportunity? The goal of the Data Science Leadership Development Program (DSLDP) internship is to attract and develop self-motivated individuals who are highly skilled and passionate about a career in data science while providing a foundation for future success within the organization. As a DSLDP intern, you will be exposed to a challenging professional work experience in data science with planned activities giving you insight into the community at Travelers, and the many ways we solve business problems using cutting edge statistical and analytical techniques. You will assist to design, develop and program methods, processes, and systems to consolidate and analyze unstructured and structured, diverse data sources to generate actionable insights and solutions for client services and product enhancement. With many company-wide events such as Intern Symposium and community outreach events, you will have the opportunity to interact and network with many levels of leadership and management. You will be expected to work together with fellow interns to develop and present solutions to relevant business and data science topics. Housing - The Internship program is based in Hartford, CT and St. Paul, MN. Positions are available in our Business Units and Corporate Departments. Subsidized apartments are available for students who live beyond a commutable distance from Hartford, CT or St. Paul, MN. Positions are available early June through the end of the summer. What Will You Do? The internship offers a training curriculum focused on data science and business acumen. Other program components include formal mentoring, networking, and career guidance. DSLDP Intern duties will vary based on the specific assignment, within one of our research groups, including: * Bond & Specialty Insurance * Business Insurance Research & Development * Claim Business Intelligence & Analytics * Personal Insurance Research & Development * Other departments, including Artificial Intelligence and Emerging Technologies Work includes: * Providing recommendations on projects that deal with data science related concepts * Designing and building statistical models, analyses at the right level of complexity to produce relevant results for the business * Identifying, integrating and structuring complex data flows * Identifying new opportunities for analytic solutions * Validate, manipulate and perform data analysis tasks * Provide qualitative and quantitative data support to ensure accuracy of metrics * Perform other duties as assigned. What Will Our Ideal Candidate Have? * Pursuing a Master's or PhD level degree in Statistics, Mathematics, or Data Science. * Applied statistical knowledge and experience solving "real-world" problems. * Demonstrated ability to communicate technical concepts to a non-technical audience. * Experience with a programming language (Python, R, SAS, etc). * Accountability: Strong track record of taking ownership and responsibility for actions and outcomes, performance, and results. * Analytical and Critical Thinking: Demonstrated aptitude in identifying current or future problems or opportunities, analyzing data, synthesizing and comparing information to understand issues, identifying cause/effect relationships and exploring alternative solutions to support sound decision making. * Change Management/Resilience: Ability to remain energized and focused in the face of ambiguity, change or strenuous demands. * Customer Focus: Proven customer service skills with the ability to provide service excellence to internal or external clients. * Emotional Intelligence: Demonstrated track record of self and social awareness, empathy and balances confidence with humility. * Interpersonal: Excellent communication skills with the ability to actively engage with others while maintaining a positive attitude. * Judgment/Decision Making: Capability of exercising sound judgment, making decisions and committing to a position. * Leveraging Differences: Proven capacity to works with and include people from different backgrounds, experiences, cultures, races, etc. and view those differences as assets to be leveraged to accomplish business goals and objectives. * Relationship Management: Strong relationship management skills including the ability to seek out, build, foster and maintain productive relationships, networks or alliances to meet goals and achieve results. * Teamwork: Ability to work together in situations when actions are interdependent, and a team is mutually responsible to produce a result. * Work Ethic: Possession of a strong drive to do what it takes to get the job done; inquisitive and demonstrates a strong willingness to learn. What is a Must Have? * Obtained a Bachelor's degree in Statistics, Mathematics, Decision Sciences, Actuarial Science, or a related analytical STEM field. * Legally authorized to work in the United States now and in the future. Employment Practices Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. We are committed to providing accommodation to persons with disabilities. If you require accommodation during the recruitment or interview process we will work with you to accommodate your needs. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit *********************************************************

Country: United States of America Data Science and Analytics Intern Otis is seeking a Data Science intern who will be exploring operational, equipment sensor, passenger traffic and market data to define strategy, improve performance, recognize latest trends, and identify market growth opportunities. On a typical day you will: Collect analytical requirements from colleagues inside the D&A team and in business groups. Search for data in various data platforms. Analyze and clean data, build appropriate models to discover meaningful business insights and actionable suggestions to operating units. Discuss and present findings and results to colleagues and stakeholders. What You Will Need to be Successful: Complete at least 18 months in graduate program in Data Science, Operations Research, Industrial Engineering, Statistics, Computer Science, Mathematics, or comparable field Extensive experience manipulating data and building Machine Learning models Strong programming skills on various languages including Python and SQL. PREFERRED Experience with working on GenAI related technologies Experience with working in Elevator related industries Local Benefits or Selling Statement Data science team that promotes peer learning and knowledge sharing Apply today to join us and build what's next! If you live in a city, chances are we will give you a lift or play a role in keeping you moving every day. Otis is the world's leading elevator and escalator manufacturing, installation, and service company. We move 2 billion people every day and maintain approximately 2.2 million customer units worldwide, the industry's largest Service portfolio. You may recognize our products in some of the world's most famous landmarks including the Eiffel Tower, Empire State Building, Burj Khalifa and the Petronas Twin Towers! We are 69,000 people strong, including engineers, digital technology experts, sales, and functional specialists, as well as factory and field technicians, all committed to meeting the diverse needs of our customers and passengers in more than 200 countries and territories worldwide. We are proud to be a diverse, global team with a proven legacy of innovation that continues to be the bedrock of a fast-moving, high-performance company. When you join Otis, you become part of an innovative global industry leader with a resilient business model. You'll belong to a diverse, trusted, and caring community where your contributions, and the skills and capabilities you'll gain working alongside the best and brightest, keep us connected and on the cutting edge. We provide opportunities, training, and resources, that build leadership and capabilities in Sales, Field, Engineering and Major Projects and our Employee Scholar Program is a notable point of pride, through which Otis sponsors colleagues to pursue degrees or certification programs. Today, our focus more than ever is on people. As a global, people-powered company, we put people - passengers, customers, and colleagues - at the center of everything we do. We are guided by our values that we call our Three Absolutes - prioritizing Safety, Ethics, Quality in all that we do. If you would like to learn more about environmental, social and governance (ESG) at Otis click here. Become a part of the Otis team and help us #Buildwhatsnext! Otis is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. To request an accommodation in completing an employment application due to a special need or a disability, please contact us at ****************. Privacy Policy and Terms: Click on this link to read the Policy and Terms

RBC Bearings Incorporated (NASDAQ: ROLL) is a leading international manufacturer of highly engineered precision bearings and components for the industrial, defense and aerospace industries. Founded in 1919, the Company is primarily focused on producing highly technical and/or regulated bearing products and engineered components requiring sophisticated design, testing and manufacturing capabilities for the diversified industrial, aerospace and defense markets. We currently have 54 facilities, of which 38 are manufacturing facilities in 11 countries and our market capitalization is approximately $10.6 billion. JOB TITLE/LOCATION: Data Analyst- Oxford, CT Job Summary: Data Analyst to support the RBC Bearings Industrial division. This position would work within the Product Management group based out of our corporate office in Oxford, CT. Our ideal candidate would have an interest in developing and improving existing processes and working with Product Management on ad hoc projects. This is an entry-level position that helps develop skills in Access, Excel. Responsibilities: Compile Dashboards that help drive decision making, for short and long-term business operation strategies. Aggregates and performs statistical analysis on business data based on requests from project teams or senior leadership. Integrates data from multiple data sources or functional areas, ensures data accuracy and integrity, and updates data as needed. Produce, remodel, and optimize various reports, dashboards, and presentations. Use advanced Microsoft Access, Excel spreadsheet functions, Macros, Power Query, and statistical methods while looking for ways to improve current processes. Identify, analyze, and interpret material trends and leverage information to communicate value-added business insights. Must think through problems logically and work with cross-functional teams to derive solutions. Distribute Daily, Weekly, Monthly, Quarterly, and Yearly reports to team members to establish objectives and coordinate information workflows. Job Requirements: Ability to develop business analysis reports and create new databases using Microsoft Excel and Microsoft Access. Ability to define problems, collect data, establish facts, and draw valid conclusions. Interpersonal Communication. Analytical and Critical thinking. Mathematical and statistical knowledge Detail oriented. Ability to meet deadlines. Time and Resource Management Attendance at work is an essential function of this job. Education: Bachelor's degree required with major in business, mathematics, finance or related field. We offer competitive compensation and excellent benefits including Medical, Dental, and company matched 401k plan. RBC Bearings is an Equal Opportunity Employer, including disability and protected veteran status.

Category: Institutional Research Subscribe: Department: Institutional Research Locations: Springfield, MA Posted: Feb 18, 2025 Closes: Open Until Filled Type: Full-time Non-Exempt Position ID: 185680 About Springfield Technical Community College : Located on 35 acres of the Springfield Armory National Historic Site and founded in 1967, Springfield Technical Community College is a major resource for the economic vitality of Western Massachusetts. As the only technical community college in Massachusetts, STCC offers a variety of career programs unequalled in the state. Digital Multimedia, IT Security, Nursing, Robotics, Sonography, Mechanical Engineering Technology (Advance Manufacturing) and dozens of other career programs produce potential employees each year. STCC's highly-regarded transfer programs in Business, Engineering, Liberal Arts, Science and Technology continue to provide the most economical option for students pursuing a four-year degree. With an annual enrollment of over 6,500, evening, weekend and online students, STCC is a vibrant campus rich in diversity and justifiably proud of our designation as a Hispanic Serving Institution. Respect is one of the Core Values of the College and we strive to nurture mutual respect among faculty, staff and students. With respect, we embrace differences to create an inclusive environment for all. Together, we support students as they transform their lives through intellectual, cultural, and economic engagement while becoming thoughtful, committed and socially responsible graduates. : GENERAL STATEMENT OF DUTIES: Under the supervision of the Director of Institutional Research, the Data and Research Analyst supports decision-makers at all levels of the College, and through careful listening and interpretation, determines appropriate data for analysis, resulting in the accurate and timely provision of information. The analyst communicates and presents findings to various stakeholders and audiences throughout the College. The Data and Research Analyst also performs data collection and analysis and contributes to the production of mandatory reports for the US Department of Education and the Massachusetts Department of Higher Education, as well as grant-related reporting. JOB DESCRIPTION: * Produce mandatory reports and submissions (e.g., HEIRS, IPEDS, Perkins CTE, Gainful Employment, SUCCESS, etc.) as assigned. * Coordinate internal enrollment reporting and develop dashboard solutions with Tableau to track KPIs for various audiences. * Collaborate closely with administrative and academic departments to ensure a common understanding of data requirements and data definitions. * Build and maintain reporting solutions per requirements, to include managing, updating and maintaining the Institutional Research Data Mart and Custom Tables at regular intervals. * Write simple to complex queries in Microsoft ACCESS or SQL Server Management Studio for data extraction, analysis, and management. * Access relational databases and create/maintain documentation. * Respond to recurring and ad hoc information requests from administrative offices and academic schools and departments. * Perform other related duties as assigned and work flexible hours when necessary. Requirements: REQUIREMENTS: * Bachelor's degree required. * 2-3 years of relevant experience in data analysis, preferably in higher education. * Knowledge of descriptive and inferential statistics and software (e.g., SPSS, R, SAS). * Design and development experience with Business Intelligence tools including dashboards (e.g., Business Objects, Tableau, PowerBI). * Familiarity with Colleague component architecture (data tables, fields) or similar ERP system and ability to quickly learn Colleague. * Working understanding of key institutional business practices and reporting metrics. * Microsoft Office Suite skills, including Excel and Access. * Demonstrated ability to interpret specifications and design solutions. * Strong project management Skills. * Enthusiasm for problem solving; demonstrated ability to create effective solutions to complex tasks. * Ability to communicate effectively with stakeholders at various stages of data fluency. PREFERRED QUALIFICATIONS: * Master's degree. * 3-5 years of relevant experience in data analysis, preferably in higher education. * Experience working in a community college. * Extensive SQL experience (SSRS, SSIS). * MS Office Suite mastery including MS Access and VBA experience. * Experience creating systems and quality assurance documentation. EQUIVALENCY STATEMENT: Applicants who do not meet the qualifications as stated above are encouraged to put in writing precisely how their background and experience have prepared them with the equivalent combination of education, training and experience required for the responsibilities of this position. Additional Information: WORKING CONDITIONS/PHYSICAL DEMANDS: Working in an office setting. The noise level in the work environment is usually quiet. While performing the duties of this job, some movement is required in the office. The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery etc. Operates a computer and multiple technologies. Salary: $68,000-$73,000, dependent on experience and qualifications Benefits: Yes Union: Non-Unit Professional (NUP) Grant Funded: No Closing Date: Open until filled All candidates must have legal authorization to work in the United States. Springfield Technical Community College is not sponsoring H1B Visa. INFORMATION AWARENESS SECURITY TRAINING: Candidates for employment should be aware that all STCC employees are required to complete Information Awareness Security Training within thirty days of their orientation date and annually thereafter. Application Instructions: All available positions are located at: ********************************** which applicants must apply online by submitting a cover letter, resume and three (3) professional references. Cover letter must demonstrate how your education and experience qualifies you for this position. PRE-EMPLOYMENT DETAILS: STCC conducts a pre-employment screening. Initial and continued employment is dependent upon meeting National Background Check, Criminal Offender Record Information (CORI) and/or Sex Offender Registry Information (SORI) check and if applicable, Physical and Alcohol/Drug Testing requirements. Screening also includes verification of academic credentials, licenses, certifications, and/or verification of work history. Finalist(s) for this position will be subject to a pre-employment screening as a condition of employment. POLICY STATEMENT ON AFFIRMATIVE ACTION, EQUAL OPPORTUNITY & DIVERSITY: Springfield Technical Community College is an affirmative action/equal opportunity employer and does not discriminate on the basis of race, color, national origin, ethnicity, sex, disability, religion, age, veteran status, genetic information, pregnancy or related conditions, gender identity, sex characteristics, sex stereotypes or sexual orientation in its programs and activities as required by Title IX of the Educational Amendments of 1972, the Americans with Disabilities Act of 1990, Section 504 of the Rehabilitation Act of 1973, Title VII of the Civil Rights Act of 1964, and other applicable statutes and college policies. The College prohibits Sex-Based Harassment. Inquiries or complaints concerning discrimination, harassment, or retaliation shall be referred to the College's Affirmative Action Officer and/or Title IX Coordinator, Kathryn C. Senie, Ed.D, J.D. at ************ or via email at ****************, the Massachusetts Commission Against Discrimination, the Equal Employment Opportunities Commission or the United States Department of Education's Office for Civil Rights. EQUAL OPPORTUNITY STATEMENT: STCC's personnel and academic decisions, programs and policies are formulated and conducted in a manner, which will ensure equal access for all people and prevent discrimination. As part of this effort, a College will ensure that employment and academic decisions, programs and policies will be based solely on the individual eligibility, merit or fitness of applicants, employees and students without regard to race, color, creed, religion, national origin, age, disability, sex, marital status, military service, gender identity, genetic information, sexual orientation or political or union affiliation.

The Physical and Computational Sciences Directorate (PCSD) researchers lead major R&D efforts in experimental and theoretical interfacial chemistry, chemical analysis, high energy physics, interfacial catalysis, multifunctional materials, and integrated high-performance and data-intensive computing. PCSD is PNNL's primary steward for research supported by the Department of Energy's Offices of Basic Energy Sciences, Advanced Scientific Computing Research, and Nuclear Physics, all within the Department of Energy's Office of Science. Additionally, Directorate staff perform research and development for private industry and other government agencies, such as the Department of Defense and NASA. The Directorate's researchers are members of interdisciplinary teams tackling challenges of national importance that cut across all missions of the Department of Energy. **Responsibilities** The Future Computing Technologies group at Pacific Northwest National Laboratory (PNNL) seeks PhD interns for the summer of 2025 with a strong background in data privacy and cybersecurity with a particular focus on privacy techniques and a strong background in statistical methods. Knowledge in disaggregated memory and distributed computing for scientific workflows is preferred, but not strictly required. The duration of the internship is 3 months, and the internship can be either remote or onsite, based on the availability of the candidate. The candidate will be expected to use and familiarize themselves with world-leading technologies which are available at PNNL. The expected outcomes of the internship include high-quality research work targeting peer-reviewed publications in leading relevant venues. Responsibilities and Accountabilities + Design and implement novel privacy techniques for large data storage and shared memory systems + Participate in the development and publication of peer-reviewed work covering the proposed techniques + Develop an initial dataset for testing the proposed techniques **Qualifications** Minimum Qualifications: + Candidates must be currently enrolled/matriculated in a PhD program at an accredited college. + Minimum GPA of 3.0 is required. Preferred Qualifications: + Background in research with experience in publication + Experience with disaggregated memories and concurrent programming **Hazardous Working Conditions/Environment** Not applicable **Additional Information** Not applicable **Testing Designated Position** This is not a Testing Designated Position (TDP) **About PNNL** Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them! At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State-the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab's campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs. **Commitment to Excellence and Equal Employment Opportunity** Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency. We are an Equal Employment Opportunity employer. Pacific Northwest National Laboratory considers all applicants for employment without regard to race, religion, color, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws. We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at **************** . **Drug Free Workplace** PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs. **Security, Credentialing, and Eligibility Requirements** In accordance with Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, new employees are required to obtain and maintain a HSPD-12 Personal Identity Verification (PIV) Credential. To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates: If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO)risk determination to maintain employment. Once you meet the three-year residency requirement, you will be required to obtain a PIV credential to maintain employment. **Mandatory Requirements** Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a "country of risk" without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment. **Rockstar Rewards** Regular Hourly: Employees are offered an employee assistance program and business travel insurance. Employees are eligible for the company funded pension plan and 401k savings plan, once eligibility requirements are met. Temporary Hourly: Employees are offered an employee assistance program and business travel insurance. Click Here For Rockstar Rewards (****************************************** **Notice to Applicants** PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual's relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules. As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position. **Minimum Salary** USD $23.53/Hr. **Maximum Salary** USD $35.30/Hr.

Established in 1991, Collabera has been a leader in IT staffing for over 22 years and is one of the largest diversity IT staffing firms in the industry. As a half a billion dollar IT company, with more than 9,000 professionals across 30+ offices, Collabera offers comprehensive, cost-effective IT staffing & IT Services. We provide services to Fortune 500 and mid-size companies to meet their talent needs with high quality IT resources through Staff Augmentation, Global Talent Management, Value Added Services through CLASS (Competency Leveraged Advanced Staffing & Solutions) Permanent Placement Services and Vendor Management Programs. Collabera recognizes true potential of human capital and provides people the right opportunities for growth and professional excellence. Collabera offers a full range of benefits to its employees including paid vacations, holidays, personal days, Medical, Dental and Vision insurance, 401K retirement savings plan, Life Insurance, Disability Insurance. Job Description Primary Responsibilities: • Develops data requirements and specifications and is able to perform / execute tasks to support data development, design, automation, compilation, and preparation and testing of data / datasets. • Reviews, enhances and tests data management processes. • Performs data and process analysis. • Ability to write SQL code in multiple OS platforms & software. Qualifications Qualifications: • Competent in use & writing SQL / SAS for data analysis and data mining tools (experience working with Big Data tools a plus). • Comprehensive analytical, reasoning, problem-solving and communications skills. • BS or BA degree required; business or technology concentration desired. • Familiarity with Business Intelligence tools and technologies. • Generally, experience working with data management systems and tools outlined below: o SQL (3-5 yrs.) - ability to write, review, and troubleshoot / optimize SQL queries o SAS (2-3 yrs.) - ability to write, review, and troubleshoot / optimize SAS code o Hadoop / Cloudera - working knowledge / familiarity o Other DB - working knowledge / familiarity o Good project management skills. Additional Information To know more about this position, please contact: YOGESH PRABHAKAR ************

About Company : A Global IT consulting firm with several large customer engagements across US. It provides strategic business consulting, technology,engineering and outsourcing services to help clients leverage technology and create impactful and measurable business value for every IT investment. About Us : Avance Consulting Services is a global talent acquisition and executive search company. We work exclusively with some of the most reputed and admired clients across various sectors and geographies. This is a very urgent role. Apply NOW with your updated resume in word format. All selected profiles will be contacted within 1 day of application receipt. Hi, Greetings from Avance, Hope you are doing good!!! We have an urgent requirement related to your profile with one of our client for Data Analyst at Milford, CT. If you are interested and available for the following position then please send your updated resume immediately. Job Title: Data Analyst Location: Milford, CT Duration: Fulltime/Permanent Job description: .Excellent customer facing skills ·Good understanding of the QSR domain ·Specialization in Managing and supporting Restaurant Menus ·Good understanding of Inventory, Prices, Promotions, Coupons, Loyalty programs, Rates and Tax Structures ·Good Knowledge of the Point-of-Sales systems ·Experience in data collection and evaluation methodologies, including format design, project criteria and requirements, data compilation, relevancy and usage ·Assist in setting up test environment and implementation of data collection with defined quality standards ·Highly experienced in handling large database through manual and data management tools ·Experience in handling and working on multi-lingual database and supporting them ·Experience in handling data transformations, manual data-entry and data management techniques ·Experience in establishing data quality standards and working with various stakeholder ·Performs and documents procedures for data preparation including data cleaning, standardization and analysis ·Well experienced In working with distributed teams in global environment ·Providing end to end leadership in delivering challenging requirements and meeting stringent deadlines ·Experience working in agile environment ·Excellent communication skills and a good team player Nice to have skills: ·Global Multilingual skills Additional Information All your information will be kept confidential according to EEO guidelines.

Student Intern - HHSIAN We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. Job Summary: We are seeking a dedicated and analytical Data and Analytics Intern to join our team for a 10-12 month internship. This position is ideal for a master's degree student in data and analytics who is eager to apply their academic knowledge in a real-world setting. The intern will gain hands-on experience in data analysis and business intelligence, contributing to various projects that drive our strategic initiatives. Key Responsibilities: Data Collection and Processing: Assist in collecting, cleaning, and processing data from various sources to ensure data quality and integrity. Data Analysis: Perform data analysis to identify trends, patterns, and insights that support business decisions and strategies. Data Visualization: Create and maintain dashboards and reports using tools like Excel to visualize data and communicate findings effectively. Business Intelligence: Develop and maintain business intelligence solutions to provide actionable insights into key performance indicators. Qualifications: Currently enrolled in a Master's degree program in Data and Analytics, Business Intelligence, or a related field. Strong knowledge of Excel for data analysis and visualization. Experience with Python and SQL is helpful but not necessary. Excellent analytical and problem-solving skills. Strong written and verbal communication skills. Ability to work independently and as part of a team. Interest in the insurance industry and emerging technologies. Benefits: Gain practical experience in a professional setting. Work on diverse projects that impact the business. Opportunity to learn from experienced professionals. Networking opportunities within the company. Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us | Culture & Employee Insights | Diversity, Equity and Inclusion | Benefits

For more than a century, LIMRA and LOMA have served as the largest trade association supporting the insurance and related financial services industry. Today, we're working with over 700 member companies around the world to help them understand industry trends, inform their strategies, develop their talent, and create solutions that advance the industry. Companies come to us because no other organization is in a better position to help them understand their customers, markets, distribution channels, and competitors. Leading life insurance and financial services organizations around the world rely on their membership for one simple reason - they can make bottom-line decisions with greater confidence. As an employer, we believe that greatness is built from the inside out. It is created by individuals who share common goals, and who support and rely on one another to achieve them. Our core values (Integrity, Customer Focus, Adaptability, Respect and Excellence) guide us in how we treat, respond to and interact with our customers, and one another. We do our best to support our employees in making the most of their lives both inside and outside of work. LIMRA/LOMA is looking for Data Analyst Intern to join the Research Data Services department. This position is a full-time hybrid position. In this role, you will work closely with LIMRA's data analysts and researchers on data exploration, validation, editing, analysis, and visualization. Responsibilities include understanding the business requirements of each project, working with a senior data analyst to select the appropriate analytical tools, and applying established best practices to your work. In addition, you work under the direction of a senior analyst to provide data analytic support for various benchmark studies, including maintaining various research databases and visualization dashboards. This position is ideal for you if you're interested in furthering your technical skills and working with industry thought leaders, data experts, and cutting-edge technologies. In addition, you will have the opportunity to do the following: Assist in collecting, cleaning, and organizing data from various sources. Build and maintain robust programs in R or Python to streamline manual data processes. Perform data validation and ensure data integrity and accuracy. Provide technical support responsible for ad hoc data requests. Perform other analytical duties as needed. What you will need to succeed: Current enrollment in a Bachelor's degree program (junior or senior year) or recent graduate with a Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Actuarial Science, or a related STEM field. Basic knowledge of programming concepts and basic statistical measures. Basic knowledge of R, Python, SQL, SAS or other similar coding language. Experience in Microsoft Office and basic knowledge of Excel. Strong analytical and organizational skills. Good written and oral communication skills. Preferred Qualifications Experience manipulating large datasets using SQL or SAS. Familiarity with data visualization tools like Tableau, Power BI, or similar. We are an Equal Opportunity employer and do not discriminate on the basis of race, ancestry, color, religion, sex, age, marital status, sexual orientation, national origin, medical condition, disability, veteran status, or any other basis protected by law. This Employer Participates in E-Verify. See the E-Verify notices. Este Empleador Participa en E-Verify. Ver el E-Verify avisos.

Company Details Berkley Small Business Solutions (BSB) offer commercial insurance products for standard and preferred non-fleet transportation and small businesses. We utilize a modern technology platform that leverages data and analytics to deliver a superior customer experience. W. R. Berkley Corporation, founded in 1967, is one of the nation's premier commercial lines property casualty insurance providers. Each of the operating units in the Berkley group participates in a niche market requiring specialized knowledge about a territory or product. Our competitive advantage lies in our long-term strategy of decentralized operations, allowing each of our units to identify and respond quickly and effectively. Responsibilities The Business Analyst intern will serve as a bridge between business and technology teams, assisting in the design, development, and programming of system applications and reports, while providing technical and business support as needed. Collaborate with Teams: Work closely with business and technology teams to manage priorities and expectations for issues and deliverables. Learn Industry Practices: Gain knowledge about Property & Casualty insurance products, markets, and underwriting processes. Process Improvement: Propose enhancements to processes for requirements gathering, design specifications, and software development. Develop Requirements: Assist in creating business requirements, specifications, and user stories for complex applications and reports. Facilitate Discussions: Lead discussions on requirements and design to ensure alignment across teams. Analyze and Solve Problems: Examine business issues to provide system solutions and recommend process improvements. System Development: Collaborate with technology teams to develop, maintain, and enhance business systems and solutions. Participate in Meetings: Actively engage in project meetings, potentially within frameworks like SAFe (Scaled Agile Framework). Documentation: Create and maintain documentation for systems and programs. Configure Systems: Set up and maintain application configurations and system tables; input coding into system tables as required. Reporting: Generate reports and assist business partners in developing reports from application databases. Automate Tasks: Write code and utilize tools, including AI models, to automate tasks. Quality Assurance: Provide QA services to ensure systems, reports, and programs function as intended; assist with unit and end-to-end functional testing. Training and Support: Deliver end-user training and product presentations; offer second-tier application support by coordinating with technology and business teams. Troubleshooting: Identify and resolve system and report issues affecting business operations; escalate issues through the change control process. Proactive Engagement: Proactively seek guidance and assistance as a self-starter. May perform other functions as assigned Qualifications Practical understanding and hands-on experience in data modeling and analysis. Ability to quickly learn new processes and concepts. Strong problem-solving, critical thinking, and analytical skills. Excellent interpersonal and communication skills, both verbal and written. Highly self-motivated with a strong sense of ownership, urgency, and drive. Ability to work effectively in partnership with others. Great attention to detail and a commitment to delivering high-quality work. Experience with Agile methodology and Software Development Life Cycle is preferred. Education: Pursuing a Bachelor's Degree in business administration, finance, information systems, engineering, or a related field. Additional Company Details **************************** The Company is an equal employment opportunity employer We do not accept any unsolicited resumes from external recruiting agencies or firms.

At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we're focused on using technology to improve healthcare. Our commitment to innovation, design, and a product-centric approach helps us create solutions that make a real difference. We're a team of passionate individuals who thrive in a culture of collaboration and continuous learning. We leverage cutting-edge technology and data insights to solve complex problems, forge new business models, and create products that truly impact the lives of our customers. As a Full Stack Data Scientist and a key member of our AI CoE, you'll play a pivotal role in driving this transformation. You'll work closely with business stakeholders to understand their needs and translate them into actionable data-driven solutions. You will be responsible for building and maintaining robust machine learning models and GenAI solutions, designing intuitive user interfaces, and ensuring seamless integration with our existing systems. This role is looking for a highly skilled and versatile engineer who can bridge the gap between machine learning and front-end development. The ideal candidate will have a strong understanding of both areas and be able to apply their knowledge to build innovative and user-friendly applications. **Responsibilities** + Develop intuitive and user-friendly web applications using modern front-end frameworks (e.g., React, Angular, Vue.js) to showcase and interact with your ML/GenAI solutions. + Strong understanding of React components, state management, and lifecycle methods. + Ability to build complex and performant user interfaces. + Develop and deploy Machine Learning (ML) models: Design, train, and optimize machine learning models for a variety of applications like forecasting, classification and categorization systems, and churn prediction. + Develop, integrate and maintain Generative AI (GenAI) solutions: Explore and implement GenAI technologies, like large language models (LLMs), to enhance existing applications or create new GenAI-based solutions. This includes working with RAG technologies, embedding models, and crafting effective prompts for LLMs. Ensure the reliable and scalable deployment; and support and maintenance of GenAI models in production environments. + Construct robust APIs: Design and implement RESTful APIs to integrate your ML models or GenAI solutions with other applications and systems within the organization. + Build and maintain end-to-end ML pipelines: Design, develop, and maintain robust and scalable ML pipelines, encompassing data ingestion, feature engineering, model training, deployment, and monitoring. + Ensure scalability and performance: Design and implement solutions to ensure that your ML and GenAI applications are scalable, efficient, and performant, even with large volumes of data and usage. + Create compelling data visualizations: Develop interactive and insightful visualizations to communicate the results of your data analysis and ML/GenAI models to stakeholders + Collaborate with cross-functional teams: Work closely with principal and senior data scientists, data engineers, business analysts, and product and project managers to ensure successful delivery of projects. + Stay current on the latest trends in AI: Actively seek out and experiment on new ML and GenAI technologies and approaches to enhance your skillset, and the performance and efficiency of your ML/GenAI models. This includes active participation in internal events like AI CodeJam. **Qualifications** + Bachelor's degree in mathematics, Statistics, Engineering, Computer Science, other related field, or equivalent years of relevant work experience is preferred. + At least 4 years of experience as a Full Stack Machine Learning Engineer or similar role preferred + Experience including HTML, HTML5, CSS3 and JavaScript (React preferred), Angular, Vue.js, Python, Java, Node.js, Flask/Django, FastAPI, PostgreSQL. + Experience with popular React libraries and tools (e.g., Redux, React Router, Styled Components). + Experience in DevOps tools like Docker, Kubernetes, Airflow; version control using Git and CI/CD piplelines using Concourse + Knowledge of clinical domain and datasets. + Knowledge of REST, Apigee, Microservices preferred + Experience in Generative AI, RAG implementation, re-ranking, Large Language Models (LLMs), LangChain, LlamaIndex, Hugging Face, Vector databases, Embedding models, Prompting techniques. + Experience with Machine Learning and related technologies such as Jupiter Notebooks, RAG, NumPy, Pandas, Scikit-learn, Tensor-Flow, Pytorch, Supervised and Unsupervised learning, Deep learning, Model evaluation + Understanding of cloud data engineering and integration concepts including GCP, Vertex AI, Cloud functions, Compute Engine, Cloud storage. + Strong mathematical and statistical skills. + 2+ years in the Healthcare industry and knowledge of clinical data preferred. + Delivery experience with Google Cloud Platform preferred. + Agile development skills and experience preferred. + Experience designing and developing machine learning and deep learning solutions and systems. + Experience using statistical analysis to determine data modeling approach, training machine learning tests and experiments. + Experience possessing deep functional and technical understanding of the Machine Learning technologies (Google's Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged within the Commercial Technologies and/or Business landscape. + Experience mining and analyzing large structured and unstructured datasets. + Experience identifying the data attributes that influence the outcome, define, and monitor metrics, create data narratives, and builds tools to drive decisions. + Experience in building end-to-end ML pipelines from data ingestion, feature engineering, model training, deploying and scaling the model in production + Experience in model training, model evaluation, model optimization, ML system architecture design, and scalable ML model deployment + Experience building large-scale batch and real-time data pipelines with data processing frameworks like Scio, Google Cloud Platform and the Apache Beam + Proficiency in Python and relevant libraries for machine learning such as scikit-learn and Pandas, as well as Jupyter Notebooks. + Experience in building solutions for AI/ML services and platforms with models in production, ML Ops, CI/CD automation of ML pipelines in a cloud-based environment e.g., (GCP) + Experience interacting with REST APIs and microservices + Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment. **What is expected of you and others at this level** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Recommends new practices, processes, metrics, or models + Works on complex projects of large scope projects may have significant and long-term impact + Provides solutions which may set precedent + Collaborate with stakeholders for completion of new projects **Anticipated salary range:** $93,500 - $133,600 **Bonus eligible:** No **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 1/26/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote \#LI-AP4 _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

At Gorilla Commerce, we're committed to bringing you durable, high-quality products at reasonable prices that make everyday life easier. Our vision is to continually innovate and improve our products based on customer need and industry trends. We are the owners and developers of multiple brands including our flagship brand, Gorilla Grip. Make Stuff Happen: (why join us) Based in Westport, CT, Gorilla Commerce is a Top 10 Branded Amazon US seller with rapid growth plans. Our beach community is only an hour from NYC and a little over two from Boston. We're a fast-paced environment with a relentless focus on the customer. We are a dynamic group of dog lovers who operate at the intersection of creativity and analytics to create and provide obsession worthy products that consumers are demanding …and we offer free unlimited snacks in the office! The Role: Reporting to the Director of IT, this position contributes to Gorilla Commerce's technology solutions team; enabling cross-functional, enterprise-wide collaboration across data and processes. As a business systems analyst, you will be part of strategic-level projects, as well as working with third-party vendors to drive results in day-to-day operations in support of the organization. The ideal candidate thrives in a fast-paced environment, juggling multiple priorities at once. Flexibility, organization, attention to detail and the ability to prioritize in a constantly changing and highly ambiguous business environment are key. Daily & Monthly Responsibilities: Work with business users and third-party developers to design, develop, test and enhance application solutions and procedures. Provide basic technical support to team members for various computer and software systems. Troubleshooting, debugging, triaging, and prioritizing technical issues that arise, including but not limited to NetSuite ERP, Celigo Integration, and Amazon Seller Central. Work with international colleagues to maintain overall design integrity of ERP processes and systems; investigating and identifying root causes of incidents to resolve issues and suggesting structural changes to improve processes. Apply technical background to engage with cross-functional team members' current and emerging needs. Manage a constantly fluctuating list of requests and tasks, determining importance, and staying organized to ensure all requests are tracked, even if not being actioned immediately. Skills & Qualifications: Bachelor's Degree in a related field such as - Information Systems, Information Technology, MIS, Engineering, or Business Analytics is required. Strong written and verbal communication skills to build and develop relationships with internal and external stakeholders. Strong problem-solving skills, including the ability to effectively address issues in collaboration with others as appropriate. Demonstrate an understanding of IT infrastructure, software integrations, cloud technologies, and cybersecurity principles. Experience working in an ERP system is preferred Programming experience or familiarity with scripting a plus.

Would you like to show how research benefits society through the impact of international research collaborations? This might be your opportunity to join us as a Research Networks Analyst Intern! About the Team Every day, scholars around the world conduct research and publish their results in many different fields. Their work often leads to inventions and new companies, to clinical trials that improve health, and to government policies and regulations. Elsevier's Global Strategic Networks (GSN) unit helps monitor the heartbeat of the global research enterprise by tracking what is produced - much of it by Elsevier through its extensive scholarly journals - and prior research that is linked to it. We use state-of-the-art data analytics to present this bibliometric, patent, and media data in engaging ways that inform governments, foundations, colleges and universities, and researchers about their economic and societal impact and how to invest their resources in support of future research. About the Role This internship is part of the Rising TIDE program. Elsevier created its Rising TIDE (Tomorrow, Inclusion, Diversity and Equity) internship program to foster inclusion and diversity as well as provide individuals with work experience in the corporate world so that we can develop a pipeline of talent for entry-level individuals for post-graduation opportunities. As a Research Networks Analyst Intern, you will work with members of the GSN team to analyze bibliometric and related data and prepare custom infographics and reports that characterize existing international research collaborations by region and enable them to be augmented effectively. This is a remote or home-based role that can be open to various locations in the eastern and central time zones. Duration: 10 weeks starting June 2, 2025, through August 8, 2025. Qualified candidates are required to apply with both a resume and cover letter to be considered for the Rising Tide internship. Responsibilities + Using Scopus, SciVal, and other Elsevier products, along with AI-driven data analysis tools, to assist a leading research institution with research data and strategic data analysis. The goal is to illustrate the strengths and opportunities of international research collaborations to create value metrics. + Preparing infographics, reports, and presentations, making them accessible to internal and appropriate external parties. + Supporting the GSN team in its interactions with research organizations to provide a deeper understanding of collaboration patterns and strategic opportunities. Requirements + Be a current student pursuing a bachelor's or master's degree in STEM such as data science, computer science, data analytics, quantitative social science, library/information science, or a related field graduating May 2026 or later. + Be a self-starter who is comfortable working alone as well as with a team. + Possess solid communication and presentation skills (both verbal and written). + Demonstrate solid multitasking and deadline management skills. + Be able to collaborate effectively with team members and stakeholders. + Be a quick learner with the ability to adapt to new systems and software. Experience with Tableau, SQL, and/or STS is advantageous. + Experience with data visualization, research analytics, and data analytics is advantageous as is general research experience. + Be proficient in Microsoft Office Suite. About the Business A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. Salary Range $28/hour for undergraduate students$30/ hour for graduate students #risingtide ----------------------------------------------------------------------- The salary range provided in this posting is the base salary range for NYC:$18,600.00 - $30,900.00 Elsevier is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: ************************************* , or please contact **************. Please read our Candidate Privacy Policy (********************************************* . RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive. Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions. Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.