Data science internship jobs in Framingham, MA

DIVIDEX Management, LLC advises some of the country's largest public pension funds and institutional investors to seek to help them manage their exposures to and recoveries from global securities litigation as an asset class. The involves detailed financial and legal analyses of potential and active securities fraud cases in the US and around the world. Additionally, DIVIDEX provides securities fraud class action settlement claim analysis and reconciliation to seek to ensure that clients receive all amounts due to them. These functions require frequent data collection from custodial and commercial data bases, utilizing our patented systems to establish estimated valuations, and generating reports and recommendations to our clients. About the job This analyst function is full-time on-site in Westwood, Massachusetts to support DIVIDEX services to institutional investor clinets. This role combines aspects of database management, public markets and legal analyses and is an exceptional opportunity for a recent college graduate with interests in quantitative analytics, public securities markets and group litigation law. Job responsibilities will include performing damages/loss analyses based on client trading activity as applied to securities fraud allegations. The analyst will employ various proprietary analytical tools, evaluate results, produce reports, and update our database and client portal. To support these analyses, the analyst will also assist in acquiring client data from custodian portals and verify the quality of that data. Using results and payment data, the analyst will also perform settlement payment analyses to verify that clients were compensated properly. Finally, the analyst will perform ad hoc damages analyses, support internal application development efforts, and help support other team members, including legal and technical, in their analytical work. Requirements Demonstrated self-starter with strong references Strong analytical and quantitative skills Strong computer skills Deep experience in Excel required Understanding of publicly-traded equities and market performance is preferred Familiarity with financial data (transactions, holdings, corporate actions, identifiers, etc.) is preferred Experience in databases and/or reporting tools is preferred Undergraduate study in business, finance or technology preferred Experience using Bloomberg is a plus Experience in VBA and/or SQL is a plus Experience in investigating publicly-available corporate and legal information is a plus Knowledge of fund accounting concepts is a plus Start date December 2025 or earlier Benefits Starting salary of 75,000+ depending on experience Full medical coverage including health, dental, vision, life and disability insurance Retirement and profit sharing plan High energy, professional work environment at easy commuter location

Job Title: Data Scientist Type: Full Time Our client is looking for a Data Scientist to design and implement advanced analytics and AI solutions that solve real-world business challenges. This role offers the opportunity to innovate, explore cutting-edge technologies, and make a measurable impact. What You'll Do Lead end-to-end data science projects, from concept to deployment. Apply statistical modeling, machine learning, and deep learning to large-scale problems. Collaborate with cross-functional teams to translate business needs into data-driven strategies. Drive innovation through experimentation and advanced analytics. What We're Looking For Ph.D. in Statistics, Biostatistics, or Operations Research with 2+ years of experience OR Master's with 5+ years in data science. Expertise in Python, R, or SQL Cloud platforms (e.g., Databricks) GLMs, Model Regularization, Probability Distributions, Hypothesis Testing Machine Learning (Random Forest, Gradient Boosting, Clustering) Simulation, Experimental Design, Non-Parametric Statistics Proven experience leading full-cycle data science projects. Background in risk management or insurance is a plus. Benefits & Perks Competitive compensation and performance-based incentives. Comprehensive health and wellness programs. Retirement plans (401(k) and pension). Flexible work arrangements and generous paid time off. Tuition reimbursement and continuous learning opportunities.

As a Principal Data Scientist, you will lead the strategic application of Generative AI across the bank, leveraging Large Language Models (LLMs) to drive innovation, improve operational efficiency, and enhance customer and employee experiences. This role requires deep expertise in NLP, hands-on experience with Generative AI tools, and the ability to guide teams in responsibly integrating these technologies into business processes. Key Responsibilities Lead the design and implementation of solutions using LLMs and Generative AI tools for complex workflows and processes. Partner with business, risk, compliance, and technology teams to identify high-impact use cases and ensure responsible AI deployment. Guide data preparation efforts, including sourcing, cleaning, and structuring data for LLM input and evaluation. Evaluate model performance, conduct error analysis, and iterate on prompt engineering and fine-tuning strategies where applicable. Stay ahead of emerging trends in Generative AI and NLP, and assess their relevance to banking applications. Mentor junior data scientists and contribute to the development of best practices for AI adoption across the organization. Communicate technical concepts and findings clearly to executive stakeholders, regulators, and cross-functional teams. Qualifications Required: 7+ years of experience in data science, machine learning, or applied AI. Proven experience applying Generative AI and LLMs in production or pilot environments. Strong proficiency in Python and experience with NLP libraries and frameworks (e.g., LangChain, Autogen, Strands, etc.). Deep understanding of NLP techniques and their practical applications. Experience working with unstructured data and integrating AI solutions into business workflows. Strong communication and leadership skills, including technical writing and stakeholder engagement. Preferred: Experience with prompt engineering, model evaluation, and LLM orchestration. Familiarity with cloud platforms and MLOps tools. Experience interacting with model validation teams and regulators. Education Required: Master's or Ph.D. in Computer Science, Mathematics, Statistics, or a related field. Hours & Work Schedule Hours per Week: 40 Work Schedule: Monday - Friday Hybrid: 4 days on site at a Citizens Corporate Office, 1 day remote #LI-Citizens1 Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance. Equal Employment Opportunity Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability. Why Work for UsAt Citizens, you'll find a customer-centric culture built around helping our customers and giving back to our local communities. When you join our team, you are part of a supportive and collaborative workforce, with access to training and tools to accelerate your potential and maximize your career growth Background Check Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information.

Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world's largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection. As a Data Scientist, you will focus on translating business needs into analytics, interpretation of analytics into business applications, sophisticated technologies, and artificial intelligence solutions. This role will allow you to innovate, explore, and build solutions for FM using new technologies. You will develop and apply statistics, artificial intelligence, machine learning, and deep learning to various business problems in loss prevention. You'll be part of our innovative and diverse team of sophisticated data and analytics professionals. You'll work alongside multiple departments, including operations, innovation, business technology transformation, underwriting, and engineering. Through constant learning, innovation, discovery, and collaboration you'll not only help FM deliver on the promise of loss prevention, but you'll also grow your career and the scope of your impact across our company. Using your creativity and applying a vast array of techniques and tools, you will plan, conduct, and advise the development and evaluation of real-world, large-scale problems using artificial intelligence/machine learning with minimal or limited supervision. Your projects will be interesting, exciting and ambitious! You will use statistics to advance the mission and goals of FM. Ph.D. in Statistics, Biostatistics or Operational Research with 2+ years of industry experience or a Master's degree with 5+ years of industry working experience in data science modelling 5+ years of experience of data processing, statistical analysis and modelling using tools such as Python,R, or SQL 2+ years of experience of working with cloud data analytics platform, such as Databricks Advanced Knowledge and Working Experience in: Generalized Linear Models (Logistic Regression, Zero-Inflated Model, etc.) Model Regularization Probability Distributions Hypothesis testing Statistical Inference Machine Learning (Random Forest, Clustering, Gradient Descent, Gradient Boosting, etc.) Simulation Experiment Design Non-Parametric Statistics Experience as the lead role of full-cycle data science projects Working experience in risk management and/or property insurance is strongly preferred Compensation, Grade, and Job Title will be determined based on qualifications, experience, and technical skillset. The position is eligible to participate in FM's comprehensive Total Rewards program that includes an incentive plan, generous health and well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, paid time off allowances and much more. FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce. #LI-TA1

Are you a problem solver looking for a hands-on internship position with a market-leading company that will help develop your career and reward you intellectually and professionally? About Analog Devices Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at ************** and on LinkedIn and Twitter (X). At ADI, you will learn from the brightest minds who are here to help you grow and succeed. During your internship, you will make an impact through work on meaningful projects alongside a team of experts. Collaborating with colleagues in an environment of respect and responsibility, you will create connections that will become a part of your professional network. ADI's culture values aligned goals, work-life balance, continuous and life-long learning opportunities, and shared rewards. The internship program features various lunch-and-learn topics and social events with other interns and full-time employees. At ADI, our goal is to develop our interns so they are the first to be considered for full-time roles. Apply now for the opportunity to grow your career and help innovate ahead of what's possible. As a Data Engineering Intern you'll work closely with the data engineering and analytics teams to gain hands-on experience in building and maintaining data infrastructure while developing predictive models for operational insights. This role offers exposure to data pipeline development, database management, and advanced analytics techniques, including AI/ML. You will collaborate with engineers across the organization on data gathering, curation, analysis, and validation to support scalable solutions. Key Responsibilities * Assist in designing and developing ETL pipelines for data extraction, transformation, and loading. * Work with data warehousing solutions such as Redshift or Snowflake. * Develop and deploy predictive models for operational efficiency using statistical and machine learning techniques. * Write and modify scripts in Python or R for data manipulation and analysis. * Collaborate with cross-functional teams to understand data infrastructure needs and best practices. * Ensure data integrity, accuracy, and consistency across all processes. Preferred Qualifications * Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. * Proven academic or project experience in data analysis and modeling. Skills & Qualifications * Basic knowledge of SQL and relational/non-relational databases. * Familiarity with scripting languages (Python or R); exposure to JavaScript, Apache Spark, and MongoDB is a plus. * Strong foundation in statistics and predictive modeling; AI/ML exposure preferred. * Interest in ETL processes, scalable data pipelines, and data architecture. * Excellent attention to detail and communication skills For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position - except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) - may have to go through an export licensing review process. Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group. EEO is the Law: Notice of Applicant Rights Under the Law. Job Req Type: Internship/Cooperative Required Travel: No The expected wage range for a new hire into this position is $22 to $41. Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We're not waiting for the future to arrive. We're shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours As a Data Science Intern, you'll join a team tackling some of the most meaningful and complex challenges in the business. Working alongside experienced Machine Learning and Data Science engineers, you'll help build systems that power critical features like recommendation engines, fraud detection, and marketing optimization. You'll play a hands-on role in delivering high-impact solutions that shape the experience of millions of customers. What You'll Do Work within complex, production-level systems to support the development and deployment of machine learning solutions. Learn the end-to-end process of engineering design, model development, scalable system deployment, and ongoing operations. Make an immediate impact by contributing to ongoing internal research and development (R&D) initiatives. Partner with a team mentor to onboard smoothly and navigate workflows effectively. What You'll Bring Currently enrolled in a four year Bachelor's Program. Proficiency in Python and a solid foundation in statistics. Experience working on collaborative technical projects, either through internships, coursework, or extracurriculars. Familiarity with version control systems like Git. A proactive mindset and curiosity to explore new tools, techniques, and technologies. Previous internship experience in a corporate or technical setting in preferred. The US hourly range for this full-time position is $36-$45, plus bonus, equity, and benefits as applicable. Our salary ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range and how that was determined during the hiring process. Join Our Team We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don't worry, we'll guide you through the process if this is relevant to your role.

We are looking for college students (preferably rising Seniors) seeking internships for the summer of 2026 in Boston. We are seeking a Data Analyst Intern to join our team and support data-driven decision-making across project management, risk analysis, and operational workflows. This role is ideal for a detail-oriented individual with strong analytical skills and an interest in construction industry data. At Shawmut Design and Construction, we take pride in the culture we've built as a 100% employee-owned company-one that's been recognized with more than 85 Best Place to Work awards. We've been honored as a National Fortune Best Workplace, a Fortune Best Workplace for Women, Millennials, and Parents, and one of America's Best Employers by Forbes-along with numerous regional recognitions across our 11 offices nationwide. If you decide to join Shawmut as a full -time employee in the future you will have the opportunity to own your career and deliver impact within our culture of ownership and innovation focused around providing the gold standard of client service for the world's most recognizable and elite brands and institutions. Responsibilities * Collect, clean, and organize project-related data from multiple sources (ERP systems, spreadsheets, field reports). * Assist in building dashboards and reports for project performance, cost tracking, and risk management. * Perform data analysis to identify trends, anomalies, and actionable insights. * Support the development of predictive models for project timelines and resource allocation. * Collaborate with project managers and operations teams to ensure data accuracy and usability. * Document processes and create user-friendly guides for data tools and dashboards. Qualifications * Currently pursuing a degree in Data Analytics, Statistics, Computer Science, Engineering, or a related field. * Strong proficiency in Excel; familiarity with Power BI, Tableau, or similar visualization tools is a plus. * Basic knowledge of SQL and data querying. * Understanding of data cleaning and transformation techniques. * Excellent analytical and problem-solving skills. * Strong communication skills and ability to work in a team environment. Preferred Skills * Exposure to construction or project management data is a plus. * Experience with Python or R for data analysis. * Knowledge of KPIs relevant to construction projects (cost variance, schedule performance, etc.). EEO Information Shawmut prohibits discrimination against any staff member or applicant on the basis of race, color, sex, sexual orientation, gender identity/expression, age, religion, national origin, marital status, veteran status, pregnancy, physical or mental disability, genetic information, disability, creed, citizenship status, or any other legally protected characteristic. We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to offer sponsorship. Salary Range Information Boston Base Salary Range: $22/hour - $25/hour. The range stated is specific to Boston. Placement within the listed range depends on many factors, including, but not limited to, years of experience, project size capability (for Construction & Field roles), and internal company equity.

Junior Data analyst needs 1-5 years' experience (Admin experience, data entry, junior level analyst) Junior Data analyst requires: .Expert Excel skills .Expert skills in analysis of large data sets and application to deployment scheduling Very strong understanding of issue and risk management, especially including clear communication of issues and status Strong written and verbal communication skills Junior Data analyst duties: Perform complex and routine adhoc analysis in Excel Provide support for business and IT end users Provide support for customers via telephone operator Perform data entry tasks Strong understanding of Microsoft office skills Strong organizational skills Strong communication skills Team oriented and willing to work well with all levels in the organization ]Perform detailed tasks and document thoroughly

Are you ready to unlock the power of data and make a real impact? Join our team as a Data Analytics Intern, where you'll collaborate closely with our Manager of Business Intelligence to turn data into actionable insights that drive success across our company! You'll take the lead on your own project, diving deep into data visualization, reporting, and trend analysis to inform key business decisions. From developing interactive dashboards to contributing to high-impact analytics projects, you'll be at the forefront of it all. If you're analytical, eager to learn, and ready to make your mark, we want you on our team! This is your opportunity to gain hands-on experience in a dynamic and supportive environment. This is a 10-week paid internship, starting on June 3rd, 2026, and based out of East Taunton, MA. Why You'll Love This Internship: * Meaningful Impact: Contribute to projects that shape decision-making and improve operations * Professional Growth: Attend workshops and gain valuable skills for a future in analytics * Networking Opportunities: Build connections with professionals and leaders across the organization * Supportive Environment: We're here to help you thrive and succeed Why You'll Love Jordan's Furniture: * Fun and Unique Culture: Experience a workplace like no other * Exciting Events: Enjoy activities that make your internship unforgettable * Strong Values: Join a company that truly cares about its employees and customers What we Stand for-Where Work is Fun and Values Matter! At Jordan's, we live the J-Way! Our average employee tenure is 12 years! Every day, our team embodies values that make a real difference: * We Care… a Lot - because kindness and support are at the heart of everything we do. * We Do the Right Thing - integrity is non-negotiable. * We Dare to Think Differently - innovation keeps us ahead of the game. * We Make Work Fun - yes, fun! Because great energy fuels great work. Responsibilities What you'll do: * Working with data analytics tools, accessing, and working with real world data from multiple sources, and partnering with the business to identify strategic opportunities and deliver results. * Learn & develop in a hands-on environment where you will be owning / supporting a project and receive frequent feedback & coaching. * Meet with management from the Inventory department to understand data requirements. * Assist in identifying key performance indicators (KPIs) based on management feedback. * Identify and prepare inventory data sources for use in visualizations. * Create data visualizations to support specified KPIs. * Automate a daily data refresh to keep the visualization current. * Present the final product created to senior management. * Intern will be supervised by the Manager of Business Intelligence and work closely with the Manager of Inventory Systems, Data Architect and BI Developer. * Training will consist of one on one and guided learning sessions in data acquisition/relational database concepts as well as in data preparation and visualization techniques. In addition, the intern will be exposed to Jordan's real world inventory data and underlying systems. Qualifications Who you are: * A rising college junior or senior pursuing a degree in Mathematics, Computer Science, Data Science/ Analytics or Engineering. * Excellent interpersonal skills * Effective oral and written communication skills; including presentation skills * Excellent analytical and problem solving skills * Solid proficiency in Microsoft office * Highly organized and detail oriented * Highly motivated team player * Must be able to read and communicate effectively in English. Pay Rate: $23.00/hour. We share our pay rate because transparency matters. This reflects what we reasonably expect to pay for this role based on experience and performance. Jordan's Furniture is an Equal Opportunity Employer.

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers leverage RippleMatch to build high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, or a related field. Strong foundational knowledge in statistical analysis, data modeling, and data mining techniques. Proficiency in data analysis tools and programming languages such as Python, R, SQL, or similar. Experience with data visualization tools and software (e.g., Tableau, Power BI, or similar). Ability to interpret complex data sets and provide actionable insights. Excellent problem-solving skills and attention to detail. Effective organizational and time management skills, with the ability to prioritize tasks and manage multiple projects simultaneously. Strong communication and interpersonal skills, with the ability to collaborate effectively with team members. Eagerness to learn and apply new techniques and tools in the field of data analysis.

About ConnectPrep: Our goal is to redefine “tutoring” - to use data, insight, and our extensive teaching experience find solutions for our students. ConnectPrep is about connecting - connecting students, parents, educators, and the community. We have bold ideas and an eye towards the future. The Opportunity: We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary role, both instructional and technical. You'll engage with our team of educators to validate and iterate the models that drive our analytics. Our Data Analysts develop an understanding of our algorithms, the technologies and platforms that support our products, and our proprietary educational content. This knowledge will then be synthesized into actionable tests to build modules that will assist in identifying the academic needs of each individual student. You will engage with team members that think outside of the box, with the goal of improving education through the creation of a data infrastructure and insightful analytics. Requirements What we are looking for: Creative problem solving, strong math/quantitative skills, and attention to detail A background in Applied Mathematics, Statistics, or Computer Science Ability to brainstorm ways we can use our product to collect data that provides insight into the needs of our students Experience with SQL, Pandas, or other fast analysis language Experience in data analysis or building pipeline tools in Python Some coding background and a strong interest in technology Advanced Excel skills (Advanced Formulas) Tables & Formatting Conditional Formatting Advanced Charting Pivot tables & Pivot Reporting VBA & Macros Using Excel Productively Data Tables, Simulations & Solver Benefits Why join ConnectPrep? Get in on the ground floor of an exciting new company, with the potential to help shape our direction Be involved with a team that has bold ideas, with the goal of reinventing education across the globe Gain valuable experience, meet technology innovators, and learn about the business side of our company Sound Interesting? Please submit your resume and letter of interest at ***********************. All applicants must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer. ConnectPrep is an equal opportunity employer EEO/M/F/D/V.

Marlborough, MA, United States San Diego, CA, United States **Join Our Summer Internship: Help Us Map the Future of Salesforce at Hologic!** Are you curious about how big companies organize their technology and use cool tools like Salesforce? Our team at Hologic is on a mission to make sure we're getting the most out of what Salesforce has to offer-and we want you to join us! As our Business Transformation Intern, you'll help us figure out who's using what, what we're missing out on, and how we can work smarter together. Think of it as a treasure hunt, but with data. **What you'll be up to during your 10-12 week adventure:** + Create a clear, interactive map showing which teams use which Salesforce features (and which features are just hanging out, waiting for their moment to shine). + Work with our awesome IT team and business partners to track down domain owners and gather all the details. + Write up easy-to-understand definitions and real-world examples for each Salesforce capability. + Spot unused features and suggest how we might put them to work-saving money and boosting productivity in the process. + Share your findings and recommendations with the team, helping us make smart decisions for the future. **Who we're hoping to meet:** + You can work full-time during the summer (May/June - August/September). + You're currently working on your Bachelor's degree, with at least one semester left after the internship. + Your major is in Marketing, Business, Analytics, or something similar. + You're heading into your junior or senior year. + You know how to get your point across, whether you're writing or speaking. + You're curious, detail-oriented, and not afraid to ask questions (even the tough ones). + You enjoy digging into data and figuring out what it all means. + Experience with Salesforce is a plus, but not required-willingness to learn is what matters most! **Location, pay & other important details:** + You can work **onsite** at our Marlborough, MA **or** San Diego, CA campus. **Heads up** : intern housing, relocation, and housing stipends aren't provided, so you'll need to have your living situation and transportation sorted out. + Pay range: $21 - $25 per hour, based on your class standing and operational function. + The chance to work with a team that's genuinely invested in your growth. + Networking, mentorship, and skill-building opportunities-all designed to help you thrive. **Take your internship to the next level at Hologic!** When you join Hologic as a Summer Intern, you're not just clocking in for a job-you're jumping into a global team full of motivated, creative, and dedicated people (basically, your future favorite coworkers). This is your chance to shine, show off what you know, and bring your energy and ideas to projects that make a real difference for people all over the world. On top of hands-on experience in your field, our College Relations team will hook you up with opportunities to learn about the company, meet leaders, and build the skills you'll need to launch your career. Consider this your backstage pass to the future of healthcare innovation. **Hologic, Inc. is proud to be an Equal Opportunity Employer inclusive of disability and veterans.** \#LI-EK1

**Req number:** R6105 **Employment type:** Full time **Worksite flexibility:** Remote **Who we are** CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right-whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. **Job Summary** As a Data Analyst Intern, you will work within our technical data analytics team, focusing on analyzing existing customer data. You will have the opportunity to apply your analytical skills to discover patterns and insights that will help drive business strategies and improve customer experiences. **Job Description** We are seeking a motivated and detail-oriented **Data Analyst Intern** to join our team and contribute to impactful data analysis projects. This role is a **full-time internship role and is remote** . The internship dates are June 1, 2026 to July 31 2026. **This internship is a full-time opportunity requiring a commitment of** **40 hours** **per week.** **Candidates must be available during core business hours (8:30 am EST to 5:00 pm EST) for the entire 9-week duration of the program.** **Please note that all work must be performed within the United States.** **This position does not offer work authorization sponsorship now or in the future. Candidates requiring sponsorship will not be considered.** **What** **You'll** **Do** + Assist in collecting, processing, and analyzing large datasets to extract meaningful insights + Collaborate with cross-functional teams to understand data requirements and deliver actionable analytics + Develop and maintain dashboards and reports to communicate findings to stakeholders + Utilize statistical techniques and data analysis tools to identify trends and patterns in customer data + Support the team in ad hoc analysis and reporting requests **What** **You'll** **Need** Required: + Current Junior pursuing a degree in Computer Science or a related field + Minimum GPA of 3.5 or higher + Strong analytical skills and experience with data patterns and trends + Excellent critical thinking and problem-solving abilities + Familiarity with data analytics tools and techniques + Passion for working with data and a keen interest in customer data analysis Preferred: + Understanding data engineering, data warehousing, and ETL processes + Familiarity with Python, Java, or Scala + Familiarity with Azure data storage + Exposure to data storage technologies such as SQL databases, NoSQL databases, and data lakes. + Familiarity with cloud platforms (AWS or Azure,) and related data services **Physical Demands** + Ability to safely and successfully perform the essential job functions consistent with the ADA and other federal, state, and local standards + Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc. + Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor The pay for this position is $20 per hour (USD). Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages for this role will include medical coverage as well as 401k retirement account access. Employees in this role may also be entitled to paid sick leave and/or other paid time off as provided by applicable law. \#DNP **Reasonable accommodation statement** If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 - 8111. The pay range for this position is listed above. Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages for this role will include medical coverage as well as 401k retirement account access. Employees in this role may also be entitled to paid sick leave and/or other paid time off as provided by applicable law.

2026 Guardian Summer Intern, AI Business Analyst Our 2026 Internship Program is a paid 10-week learning experience where you will be immersed in the daily environment of a thriving global financial services company. You will gain invaluable industry and organizational knowledge through daily business interactions and job assignments, in addition to engaging in projects that directly affect our business, interact with senior leaders in conversational settings, and network with employees and interns across our offices. This 10-week internship provides you with realistic experiences and information of what it is like to work at Guardian. Internship Dates: The internship program will run from Thursday, May 28, 2026 - Friday, August 7, 2026. We review applications on a rolling basis, and we encourage you to apply as soon as you are ready. The application window will close on Friday, November 14, 2025, at 11:59PM ET or when role(s) have been filled, whichever comes first. You are: A rising senior (graduation date of May 2027) who is fueled by collaboration, able to listen and make quick decisions and thrive in a goal-oriented environment. Location (housing is not provided): Boston, MA You have: A basic understanding of AI A major in a technology related discipline (AI, ML, Comp science related course) A strong analytics background You will: Have the opportunity to learn how technology supports Guardian's Group Benefits customer service Have the opportunity to learn and quantify Broker Plan holder interactions in Group Benefits via our digital assistant Have the opportunity to analyze and report on Generative AI based solutions in Group Benefits customer service Have the opportunity to work and learn from supportive leaders, mentors and team members across the organization who will help coach you as you develop your professional career Learn about Guardian's purpose, values, how we work, and our suite of product and service offerings Build a network of colleagues and have a sense of community with other interns and other parts of the business Think broadly and ask questions about data, facts and other information Be a self-starter - someone who enjoys “rolling up their sleeves and getting things done”, has high energy, strong work ethic, displays the ability to work independently, and is creative We offer: Meaningful and challenging work opportunities to accelerate innovation in a secure and compliant way Dynamic, modern work environments that promote collaboration and creativity to develop and empower talent Employee Resource Groups that advocate for inclusion and diversity in all that we do Social responsibility in all aspects of our work- we volunteer within our local communities, create educational alliances with colleges, and drive a variety of initiatives in sustainability Eligibility: Applicants must be eligible to work in the U.S. without company sponsorship, now or in the future, for employment-based work authorization. F-1 visa holders with Optional Practical Training (OPT) who will require H-1B status, TNs, or current H-1B visa holders will not be considered. H1-B and green card sponsorship are not available for this position. You must be available for the full program dates of the internship program. If you have any questions regarding the application process, please feel free to email Guardian_***************. Salary Range: $20-$35 per hour Salary Range: $20.00 - $35.00 The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation. Our Promise At Guardian, you'll have the support and flexibility to achieve your professional and personal goals. Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards. Inspire Well-Being As part of Guardian's Purpose - to inspire well-being - we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues. Explore our company benefits at ************************************************ Benefits apply to full-time eligible employees. Interns are not eligible for most Company benefits. Equal Employment Opportunity Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law. Accommodations Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact applicant_accommodation@glic.com. Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday.

We are a healthcare technology company that provides platforms and solutions to improve the management and access of cost-effective pharmacy benefits. Our technology helps enterprise and partnership clients simplify their businesses and helps consumers save on prescriptions. As a leader in SaaS technology for healthcare, we offer innovative solutions with integrated intelligence on a single enterprise platform that connects the pharmacy ecosystem. With our expertise and modern, modular platform, our partners use real-time data to transform their business performance and optimize their innovative models in the marketplace. Overview: RxSense is proud to sponsor an annual summer intern program that is focused on business education, career exploration, and personal enrichment. Hosted at our Corporate Headquarters in Boston, MA, interns will be expected to participate in person for eight weeks from Sunday, June 7th through Friday, July 31st, 2026. This position does not offer any remote opportunities. Take a moment to watch this short video that captures the RxSense Intern experience! Job Summary: The Business Analyst (BA) will learn about health care, the pharmacy benefit management industry and direct to consumer marketing through an orientation provided by the company's leadership team. Each week, functional leaders will teach Business Analysts about what their area of the company does, how it works, and how it contributes to the financial success of the organization. Business Analysts will work on two team-based projects and present their findings to executive leadership. A rotating list of guest speakers composed of leading experts from various industries such as healthcare law, commercial real estate, investment banking and broadcast media will conduct educational sessions about their work and career paths in their fields. Additionally, interns will participate in community volunteer activities sponsored by the company. Primary Job Duties & Responsibilities: Participate in project-based work in a team environment to deliver a professional presentation to executive leadership Actively participate in facilitated, daily discussions about current business news and events using the Wall Street Journal as the medium Use problem-solving skills to assist in resolution of business problems and the development of new product ideas Participate in weekly community building activities Show up every day, on time, ready to actively learn Requirements/ Qualifications: RxSense will only consider candidates who are rising Juniors or Seniors. Successful candidates will be intellectually curious and have an interest in pursuing a career in business or finance. The company seeks candidates who have a demonstrated track record of academic success, a strong work ethic demonstrated through athletics or working full or part-time jobs over the summer and/or while going to school. Candidates that have endeavored into entrepreneurship will be given special consideration. Proficiency in Microsoft Word, Excel and PowerPoint is required Exceptional verbal and written communication skills Critical thinking and problem-solving proficiency Ability to work effectively on a team and produce high quality work products Ability to self-manage Work Environment: Business casual dress code (not casual) Housing provided by the company Paid position Lunch provided daily Monday through Friday 9am to 3pm Deadline to apply is October 31st, 2025 RxSense believes that a diverse workforce is a more talented and productive workforce. As such, we are an Equal Opportunity and Affirmative Action employer. Our recruitment process is free from discriminatory hiring practices and all qualified applicants are considered for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity, ancestry, age, or national origin. Neither will qualified applicants be discriminated against on the basis of disability or protected veteran status. We believe in the strength of the collaboration, creativity and sense of community a diverse workforce brings.

Job Description At Kindbridge Research Institute (KRI), we are pioneering work in a space that's still taking shape-gambling-related mental health. As a non-profit at the intersection of research, behavioral health, and community well-being, KRI is leading efforts to better understand gambling behaviors and their impact on vulnerable populations such as veterans, service members, and young adults. Through the Massachusetts Research and Education Collaborative (REC), we are building the statewide data infrastructure needed to understand gambling-related harm and advance prevention, intervention, and policy efforts across the Commonwealth. We're seeking a Part-Time Data & Surveillance Research Analyst to help transform raw data into meaningful insights that drive action. In this role, you will analyze state surveillance datasets, uncover patterns and disparities across populations, and contribute to the evidence base at the heart of this growing initiative. Your work will directly support communities disproportionately impacted by structural inequities and help bring the OPGS Data to Action Framework to life Why This Role Matters: You believe high-quality data should fuel real-world impact, not sit untouched in spreadsheets You care about health equity and want to uncover the patterns that reveal who is most affected-and why You are energized by surveillance work, statistical analysis, and the challenge of making complex datasets usable for public health decision-making You enjoy collaborating with epidemiologists, academics, public health agencies, and community partners You want to play a central role in building a statewide surveillance system that sheds light on gambling-related harm and supports meaningful policy and prevention strategies Key Responsibilities: Conduct statistical analyses of BRFSS, Youth Health Survey, and other state surveillance datasets to identify patterns and risk factors related to gambling-related harm Manage, clean, and organize large datasets to ensure accuracy, security, and high analytical integrity Support development and implementation of the Statewide Surveillance System Plan in collaboration with KRI leadership and external partners Conduct stratified analyses by race, ethnicity, socioeconomic status, gender, and geography to identify inequities and inform targeted interventions Assist in preparing peer-reviewed manuscripts, reports, and scientific conference materials Develop analytic summaries for internal planning and external dissemination Provide analytical support, training, or mentorship to team members and collaborators as needed Maintain organized data workflows, code documentation, and version control systems Report to the Project Manager and communicate progress, challenges, and needs Contribute to a collaborative, inclusive research environment grounded in scientific rigor and continuous learning Qualifications: Master's degree (completed or in progress) in Epidemiology, Biostatistics, Public Health, or a related quantitative field Proficiency in statistical software such as R, SAS, SPSS, or Stata Experience with public health surveillance data, survey methodology, and large dataset management Strong understanding of health equity frameworks and disparities research Experience with BRFSS or other state-level surveillance datasets is a plus Experience with data visualization tools (e.g., Tableau, Power BI) and IRB/human subjects research processes Familiarity with behavioral health, addiction, public health, or gambling-related research Knowledge of Massachusetts public health data systems is beneficial Ability to work independently with attention to detail, accuracy, and reliability Work Culture & Values: Flexible In-Office Schedule: This part-time role includes regular in-person work in our Beverly, MA office for collaboration and team connection Autonomous & Impact-Driven: We believe in giving our team members the trust, tools, and support to own their work Collaborative & Innovative: You'll be part of a dynamic, mission-driven team that values open communication, learning, and experimentation This is more than a project-it's a platform to grow your career, explore new territory, and make a tangible impact. Come join us at KRI! Salary to be determined by the applicant's education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. Colorado Pay Range$30,000-$35,000 USD

Daice Labs, founded by MIT CSAIL scientists, builds hybrid frameworks that integrate LLMs/DL with symbolic reasoning and bio-inspired system design to create adaptable AI systems capable of continual learning and explainable decision-making. Daice Labs operates under two main tracks: the Product Lab, which focuses on building a collaboration platform where human teams co-build with hybrid AI, and the AI Research Lab, which uses principles of natural intelligence to guide the design of hybrid AI architectures. We believe the next leap in productivity comes from the collaboration between human teams and specialized AIs working together on shared contexts. Role Description This is a full-time remote Data Analyst Intern role. The intern will be responsible for collecting, analyzing, and interpreting complex data sets to support decision-making processes. Day-to-day tasks include data modeling, utilizing statistical techniques to uncover insights, preparing comprehensive data visualizations, and presenting findings clearly. The intern will also collaborate with cross-functional teams to ensure the alignment of analytical results with organizational goals. Qualifications Proficiency in Analytical Skills and Data Analytics Strong understanding of Statistics and ability to perform data analysis Experience with Data Modeling and working with structured or unstructured data Effective Communication skills to present and explain findings to diverse stakeholders Familiarity with programming languages such as Python, R, or SQL is a plus Strong problem-solving mindset and ability to work independently or collaboratively Currently pursuing a degree in Data Science, Statistics, Computer Science, or a related field

Are you a problem solver looking for a hands-on internship position with a market-leading company that will help develop your career and reward you intellectually and professionally? Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at ************** and on LinkedIn and Twitter (X). At ADI, you will learn from the brightest minds who are here to help you grow and succeed. During your internship, you will make an impact through work on meaningful projects alongside a team of experts. Collaborating with colleagues in an environment of respect and responsibility, you will create connections that will become a part of your professional network. ADI's culture values aligned goals, work-life balance, continuous and life-long learning opportunities, and shared rewards. The internship program features various lunch-and-learn topics and social events with other interns and full-time employees. At ADI, our goal is to develop our interns so they are the first to be considered for full-time roles. Apply now for the opportunity to grow your career and help innovate ahead of what's possible. As a Data Engineering Intern you'll work closely with the data engineering and analytics teams to gain hands-on experience in building and maintaining data infrastructure while developing predictive models for operational insights. This role offers exposure to data pipeline development, database management, and advanced analytics techniques, including AI/ML. You will collaborate with engineers across the organization on data gathering, curation, analysis, and validation to support scalable solutions. Key Responsibilities Assist in designing and developing ETL pipelines for data extraction, transformation, and loading. Work with data warehousing solutions such as Redshift or Snowflake. Develop and deploy predictive models for operational efficiency using statistical and machine learning techniques. Write and modify scripts in Python or R for data manipulation and analysis. Collaborate with cross-functional teams to understand data infrastructure needs and best practices. Ensure data integrity, accuracy, and consistency across all processes. Preferred Qualifications Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. Proven academic or project experience in data analysis and modeling. Skills & Qualifications Basic knowledge of SQL and relational/non-relational databases. Familiarity with scripting languages (Python or R); exposure to JavaScript, Apache Spark, and MongoDB is a plus. Strong foundation in statistics and predictive modeling; AI/ML exposure preferred. Interest in ETL processes, scalable data pipelines, and data architecture. Excellent attention to detail and communication skills For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position - except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) - may have to go through an export licensing review process. Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group. EEO is the Law: Notice of Applicant Rights Under the Law. Job Req Type: Internship/CooperativeRequired Travel: NoThe expected wage range for a new hire into this position is $22 to $41. Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.

About ConnectPrep: Our goal is to redefine “tutoring” - to use data, insight, and our extensive teaching experience find solutions for our students. ConnectPrep is about connecting - connecting students, parents, educators, and the community. We have bold ideas and an eye towards the future. The Opportunity: We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary role, both instructional and technical. You'll engage with our team of educators to validate and iterate the models that drive our analytics. Our Data Analysts develop an understanding of our algorithms, the technologies and platforms that support our products, and our proprietary educational content. This knowledge will then be synthesized into actionable tests to build modules that will assist in identifying the academic needs of each individual student. You will engage with team members that think outside of the box, with the goal of improving education through the creation of a data infrastructure and insightful analytics. Requirements What we are looking for: Core skills You enjoy creative problem solving and working with messy, real-world data. You have strong math/quantitative skills and excellent attention to detail. You are curious about how data can improve learning and student outcomes. Academic & technical background You are studying (or have studied) Applied Mathematics, Statistics, Computer Science, Data Science, or a related field. You have some coding experience and a strong interest in technology and AI. You have experience with at least one of the following: SQL, Python data tools (Pandas, NumPy, or similar) Building simple data pipelines or analysis scripts in Python Excel & analysis skills You are comfortable doing serious work in Excel, including several of the following: Advanced formulas and functions Tables and formatting Conditional formatting Advanced charting and visualizations Pivot tables and pivot reporting Using Excel productively for analysis, not just basic spreadsheets Data tables, simulations, and Solver (Bonus) VBA and macros AI, data, and analytics work you will support Work with AI tools and workflows to support data-driven decision-making Perform data mining and cleaning from multiple sources (web, internal trackers, marketing platforms) Support projects involving AI and chatbot development for ConnectPrep's programs and website Conduct SEO and keyword research to identify growth opportunities and track performance Analyze website analytics (traffic, engagement, conversions) and prepare simple dashboards or summary reports Assist with data analysis for marketing campaigns, content performance, and business operations Help test, document, and iterate on new data and AI workflows as they are developed Nice to have Prior internship or project experience in data analysis, business intelligence, or marketing analytics Familiarity with web analytics and marketing tools (for example, Google Analytics, GA4, Search Console, Looker Studio, or similar platforms) Experience visualizing data in tools such as Tableau, Power BI, or Data Studio Experience working with SEO tools or keyword platforms Experience collaborating in remote or hybrid teams (Slack, Zoom, project management boards) Benefits Why join ConnectPrep? Get in on the ground floor of an exciting new company, with the potential to help shape our direction Be involved with a team that has bold ideas, with the goal of reinventing education across the globe Gain valuable experience, meet technology innovators, and learn about the business side of our company Sound Interesting? Please submit your resume and letter of interest at ***********************. All applicants must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer. ConnectPrep is an equal opportunity employer EEO/M/F/D/V.