Data science internship jobs in Belmont, 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

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.

Program Dates: June 1, 2026 - August 7, 2026 The base salary for this role is $5,200 per bi-weekly pay period This is a Boston based opportunity with a 3 day in office expectation (Tuesday - Thursday) with 2 days remote (Monday and Friday) Who We Are: The Machine Learning team develops core algorithmic systems for the business, with over 20 specialized sub-teams working on a wide range of projects including Search, Pricing, Personalization, and Supply Chain. Our program gives you the chance to address key business challenges with state-of-the-art solutions. You'll work with great mentors who will guide you from problem definition to production, with the potential to publish your work in top-tier venues. We collaborate with various stakeholders to build scalable ML solutions that drive revenue and enhance the customer experience. Our projects are driven by entrepreneurial individuals who take ownership of their work in a collaborative setting. Examples include developing models for customer preferences, optimizing profitability through demand forecasting, and creating solutions to detect duplicate products. Your work will directly impact the customer experience, with our in-house A/B testing platform allowing you to see the immediate effects of your algorithms on the company. What You'll Do: * Own the entire machine learning lifecycle, from initial idea to deployment and measuring business impact * Develop and scale cutting-edge machine learning models to solve core business problems * Create impactful algorithmic solutions that directly improve customer and supplier experiences * Uncover and act on key insights from vast datasets to provide tactical guidance and drive business value * Pilot new tools and techniques and contribute to potential scientific publications * Collaborate with a team of experts to build maintainable and scalable solutions What You'll Need: Basic Qualifications: * Currently enrolled in a PhD program in a quantitative field (Computer Science, Mathematics,, Engineering, Statistics/Biostatistics, Physics, Robotics, Operations Research, etc.) with the expectation that the degree will be obtained between December 2026 and August 2027 * Proficient knowledge of structured programming language(s) (e.g. Python) * Must be returning to the course of study following completion of the internship * Ability to commit to working 40 hours per week (9am-5pm, Monday-Friday) from June 1 - August 7, 2026 in our Boston office Preferred Qualifications: * Familiarity with regression and machine learning techniques, such as supervised/unsupervised learning, recommendation systems, reinforcement learning, deep learning, etc. * An affinity for data along with experience leveraging statistics and regression analysis * Intuitive sense of how quantitative and technical work aligns closely with business priorities and business value * Experience with languages and tools relevant to data science, including Pytorch/TF, github, pyspark, Docker, SQL, GCP * Familiarity with data structures, algorithms, OOP, and programming in a team environment * Quick learner with an analytical approach to solving problems as part of a team who has strong communication skills * Strong comfort level and appetite to use AI in daily workflow * Ability to thrive in a dynamic environment where there can be degrees of ambiguity * Ability to effectively work with technical leads * Ability to synthesize conclusions for non-experts and desire to influence technical decision Why You'll Love Wayfair: Throughout the Internship Program, we provide interns with the opportunity to engage in social and community building activities including: * A calendar of intern events including social networking, professional development and a leadership dialogue series * Formalized mentorship program along with an assigned reporting manager for impactful professional development and feedback * Skills-based training * Dialogue events with senior leaders to provide a holistic view of all functions at Wayfair * Coffee chat opportunities for interns to get to know one another * Volunteer opportunities * Intern-wide innovation project designed to teach interns skills for handling ambiguous business problems * Intern Appreciation Day celebration * Events throughout Boston which allow interns to explore what the city has to offer including a Red Sox game, and Boston Harbor boat cruise. Purpose & Inclusion at Wayfair: At Wayfair, we pride ourselves on fostering an environment where every individual experiences a fair and equitable employee journey. We are committed to developing targeted resources that raise awareness around inclusion and eliminate barriers, ensuring Wayfair provides a fair and inclusive workplace experience for everyone. Social Impact & Responsibility: At Wayfair, we focus on helping people on their journey to home - specifically those who have lost their way from home. We do this by leveraging our best assets, such as collaborating with leading nonprofit organizations, coordinating in-kind product donations, empowering our employees to get involved through paid volunteer time off programs, and encouraging our customers to donate. This multi-faceted approach allows us to support communities in need in authentic ways that align with Wayfair's broader mission of helping everyone, anywhere create their sense of home. Assistance for Individuals with Disabilities Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please let us know by completing our Accomodations for Applicants form. Need Technical Assistance? For more information about applying for a career at wayfair, visit our FAQ page here. About Wayfair Inc. Wayfair is one of the world's largest online destinations for the home. Whether you work in our global headquarters in Boston, or in our warehouses or offices throughout the world, we're reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you're looking for rapid growth, constant learning, and dynamic challenges, then you'll find that amazing career opportunities are knocking. No matter who you are, Wayfair is a place you can call home. We're a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair - and world - for all. Every voice, every perspective matters. That's why we're proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic. Your personal data is processed in accordance with our Candidate Privacy Notice (***************************************** If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at *********************************.

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.

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.

Position Overview: We are looking for a Research Data Analyst to join a high performing team focused on building and maintaining research databases used in a state-of-the-art quantitative investment process. The Analyst will be responsible for resolving data quality issues, building new data quality controls, onboarding new datasets, creating documentation, and making data access more transparent. This position offers a unique opportunity to leverage one's experience and have an impact on how data is used in the research and investment process. An ideal candidate should have strong knowledge of financial data used in multi-asset class quantitative investing and have a keen interest to think about and solve data quality issues and be adept at using various tools and technologies at their disposal to execute the job. Key Responsibilities: Monitor incoming data to detect anomalies and remediate issues Investigate and resolve data quality questions and concerns Develop an expert understanding of internal databases and processes and ensure information is maintained accurately and efficiently Become a “subject matter expert” in a variety of data categories (reference, market, fundamental, estimate, macro-economic, et al) across various asset classes including equity and fixed income Develop a keen understanding of how data is utilized in our investment processes to help design and implement new data sets and processes Design, implement and maintain market data contract pipeline to be align with our data processing. Validate that all data required by market data contracts is present and accurate, and ensure no unauthorized deletions occur. Partner with investment teams to proactively address their data needs Design and build efficient and effective controls to help resolve and identify potential data issues Coordinate with the data engineering team to identify ways to improve our data and monitoring processes Work with external market data vendors to bring in new data sources required by business users and support existing feeds Create documentation to support data processing and exploration Contribute to a rotational “on call” program to facilitate the overnight processing of data Requirements: Bachelor's degree, preferably in economics, statistics, computer science, math or information systems 3+ years of experience working with financial data at an asset management company or financial data provider Experience orchestrating data pipelines and processes using Apache Airflow Proficient using Python and SQL to maintain data quality and automate data workflows Experience modeling data based on vendor methodologies and internal use Experience building data quality controls and resolving data issues Proven ability to visualize data using modern data analysis techniques Strong attention to detail Strong communication skills High energy and positive attitude - candidate should be conscientious, self-directed and possess a strong work ethic Passionate about a data focused career path Strong interest in databases and database technologies Plus: Experience with data systems implemented in the cloud using Databricks, Delta Lake, Spark Experience with Data Governance toolsets Interest in, or experience with, Machine Learning for Anomaly Detection GMO is committed to the recruitment, employment, and promotion of all candidates equally, regardless of an individual's gender, race, color, national origin, ancestry, age, religion, pregnancy, marital status, sexual orientation, gender identity or expression, military or veteran status, genetic information, physical or mental disability (except where such disability is a bona fide occupational disqualification) or any other classification protected under federal, state or local law.

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.

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

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.

Job DescriptionDescription: Haigh-Farr is a premier antenna design, manufacturing and test house developing products used across all platforms in the aerospace industry including missions to Mars, the International Space Station and products fielded to the U.S. Military supporting the warfighter. In our over 55+ year history we have enjoyed steady, planned growth. Haigh-Farr plans to further grow our team and capabilities to meet increasing demand and to expand into new markets and antenna technologies. Haigh-Farr is seeking a Business Analyst Intern to support company functions in the finance and accounting area. Requirements: Responsibilities: Collect, organize, and analyze data to identify patterns, trends, and insights Assist in data cleanup and scrubbing from current ERP system to SAP Help record business requirements, documents, process flow diagrams and user manuals Work with cross-functional teams, including Marketing and Business Development, to gather requirements and support project initiatives Other duties may be assigned Preferred Skills: Ability to create work product-focused materials / outputs, which may include PowerPoint, Excel models, PowerBI and other Microsoft programs. Exceptional time management to meet your responsibilities in a complex work environment. Qualifications: Enrollment in an undergraduate program at St. Anselm College, with a major in Business, Business Analytics and/or similar fields. U.S. Citizenship required. Why should you join Haigh-Farr? Haigh-Farr is a fast paced, growing company that recognizes employees with a promote-from-within philosophy. We believe in a friendly work environment where employee contributions are well received and a key component to our success. Our facility features state of the art technology and the latest manufacturing and testing capabilities.

Haigh-Farr is a premier antenna design, manufacturing and test house developing products used across all platforms in the aerospace industry including missions to Mars, the International Space Station and products fielded to the U.S. Military supporting the warfighter. In our over 55+ year history we have enjoyed steady, planned growth. Haigh-Farr plans to further grow our team and capabilities to meet increasing demand and to expand into new markets and antenna technologies. Haigh-Farr is seeking a Business Analyst Intern to support company functions in the finance and accounting area. Requirements Responsibilities: Collect, organize, and analyze data to identify patterns, trends, and insights Assist in data cleanup and scrubbing from current ERP system to SAP Help record business requirements, documents, process flow diagrams and user manuals Work with cross-functional teams, including Marketing and Business Development, to gather requirements and support project initiatives Other duties may be assigned Preferred Skills: Ability to create work product-focused materials / outputs, which may include PowerPoint, Excel models, PowerBI and other Microsoft programs. Exceptional time management to meet your responsibilities in a complex work environment. Qualifications: Enrollment in an undergraduate program at St. Anselm College, with a major in Business, Business Analytics and/or similar fields. U.S. Citizenship required. Why should you join Haigh-Farr? Haigh-Farr is a fast paced, growing company that recognizes employees with a promote-from-within philosophy. We believe in a friendly work environment where employee contributions are well received and a key component to our success. Our facility features state of the art technology and the latest manufacturing and testing capabilities.

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.

Reporting to the Business System Applications Manager, the Business Analyst Intern will work closely with the operations leadership team and will be to responsible for ensuring that all documentation pertaining to Q2 and Q3 Synergy project for the current financial year are completed accurately, quickly and in compliance with regulations. This position will help streamline our document repository by helping with creation of process flows, test plans and user training materials. ESSENTIAL JOB FUNCTIONS* Create process flows pertaining to current business processes To understand JIRA and create user stories Create test plan as per the requirements Create user training materials Work with management to prioritize business and information needs OTHER DUTIES AND RESPONSIBILITIES Performs additional duties as assigned by Manager, Business System Applications

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

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 Familiarity with behavioral health, addiction, or gambling-related research 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 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.