Data science internship jobs in Lynn, MA

The Opportunity At Pearl Health, data is central to improving how providers deliver care-and you'll be the one turning it into action. As a Staff Data Analyst, you'll bridge strategy and execution, transforming complex data into insights that shape clinical outcomes and drive our business forward. This is your chance to lead analytical initiatives that directly impact the future of value-based healthcare, while mentoring teammates and influencing how Pearl uses data at scale. Who We Are Pearl Health is dedicated to empowering primary care providers, health systems, and physician-led networks to succeed in the shift to value-based care. Our platform delivers the technology, financial tools, and expert services that enable practices to provide more proactive, effective care to their Medicare patients, ultimately lowering costs and improving health outcomes. Founded in 2020, we are a team of healthcare and technology innovators backed by premier investors like Andreessen Horowitz, Viking Global Investors, and AlleyCorp. We partner with thousands of providers across 44 states to build a more sustainable future for American healthcare. What You'll Do In this role, you'll own the connection between our data assets and business impact, translating strategic needs into analytical solutions that inform decisions across the organization. You'll collaborate closely with cross-functional partners while setting the standard for data excellence. Partner with Product, Engineering, Customer Success, and other teams to translate business challenges into actionable analytical solutions. Build and maintain data assets, dashboards, and reports that deliver insights and unlock decision-making. Collaborate with Data Engineering to design and build data marts and pipelines in Snowflake & dbt that directly serve stakeholder needs. Translate complex business challenges into analytical frameworks, leveraging statistical modeling (e.g. regression analysis) to provide actionable recommendations and influence key decisions. Manage a prioritized backlog of requests, balancing competing stakeholder needs with business impact. Contribute to the company's analytics strategy and roadmap, identifying opportunities with a 1-2 year horizon. Mentor analysts across the team, sharing best practices in analysis, stakeholder engagement, and data storytelling. Help establish standards and workflows for data analysis, reporting, and dashboard development. What You'll Bring We're looking for someone who combines deep technical expertise with the ability to translate data into business value. The right person will thrive in an environment where data is both a craft and a strategic lever. Must-haves: 8+ years of experience delivering analytics across the data pipeline, from modeling to stakeholder engagement. Direct experience working with medical claims data or performing any type of medical economics analysis is highly preferred. Expert-level SQL and Python skills for data manipulation, analysis, and modeling. Proven success turning business needs into end-to-end data solutions, ideally with Snowflake and dbt. Strong track record collaborating with non-technical stakeholders, including executives, to communicate insights clearly and persuasively. Experience utilizing rigorous statistical methods, including regression modeling and hypothesis testing, to quantify business impact and drive key decisions. Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics). Nice-to-haves: Familiarity with AWS cloud architectures and modern data stack tools. Background working in a fast-paced startup environment. Experience designing and maintaining conceptual or functional data marts. This role might not be for you if: You prefer a highly structured, top-down corporate environment. You'd rather work on individual analyses than partner closely with stakeholders across the business. You are looking for a role focused solely on data engineering or data science, rather than stakeholder-facing analytics. You're uncomfortable managing ambiguity and shifting priorities in a growing company. Our Values 🤝 Collaborate to Innovate: We believe the best solutions arise from intelligent teamwork. We trust the expertise of our teammates and pursue opportunities to learn and grow from each other. By embracing diverse perspectives and encouraging authenticity, we create and evangelize groundbreaking health solutions. 🗣️ Trust Through Transparency: We prioritize transparency in all our interactions, ensuring that employees, patients, clinicians and partners have access to the information they need to make informed decisions. Integrity is at the core of how we operate, from building products to fostering relationships, and is crucial to our ability to communicate openly and gain trust. ❤️ Serious Impact, Big Heart: We go above and beyond with our efforts to empower proactive, patient-centered care - and we celebrate every step forward. Humor and positivity fuel our creativity, strengthen relationships, and remind us to acknowledge the journey as much as the destination. We are an Equal Opportunity Employer on a mission to improve lives. Our strength comes from the diverse backgrounds, experiences, and perspectives of our team. We welcome all candidates and are committed to a fair, inclusive hiring process free from discrimination. What We Offer The expected offer for this role includes the following components: Base Salary Range: $160,000 - $200,000 Additional Compensation: This role is eligible for a discretionary performance bonus and equity options. Benefits: We offer a competitive benefits package. More on our careers page. Final compensation for this role will be determined by a variety of factors, including a candidate's relevant skills, experience, labor market conditions, and location. Agency Submissions We are not currently working with contingency search firms. If a resume is submitted to any Pearl Health employee by a third party without a valid written and signed search agreement, it will become the property of Pearl Health and no fee will be paid, irrespective of whether the candidate is hired. The Interview Process While steps may vary by role, you can typically expect: Recruiter Screen: An intro call to discuss your background and motivations. Technical Exercise: A take-home or live assessment meant to evaluate relevant technical skills. Hiring Manager Interview: A deeper-dive conversation with your potential manager. Panel Interview: A round of meetings with teammates and cross-functional partners. Case Assignment/Presentation: A practical exercise inviting you to solve a real-world problem or relevant challenge. Executive Interview: Final conversation(s) with 1-2 of our leaders.

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 *********************************.

SES AI Corp. (NYSE: SES) is dedicated to accelerating the world's energy transition through groundbreaking material discovery and advanced battery management. We are at the forefront of revolutionizing battery creation, pioneering the integration of cutting-edge machine learning into our research and development. Our AI-enhanced, high-energy-density and high-power-density Li-Metal and Li-ion batteries are unique; they are the first in the world to utilize electrolyte materials discovered by AI. This powerful combination of "AI for science" and material engineering enables batteries that can be used across various applications, including transportation (land and air), energy storage, robotics, and drones. To learn more about us, please visit: ********** What We Offer: * A highly competitive salary and robust benefits package, including comprehensive health coverage and an attractive equity/stock options program within our NYSE-listed company. * The opportunity to contribute directly to a meaningful scientific project-accelerating the global energy transition-with a clear and broad public impact. * Work in a dynamic, collaborative, and innovative environment at the intersection of AI and material science, driving the next generation of battery technology. * Significant opportunities for professional growth and career development as you work alongside leading experts in AI, R&D, and engineering. * Access to state-of-the-art facilities and proprietary technologies are used to discover and deploy AI-enhanced battery solutions. What we Need: The SES AI Prometheus team is seeking an exceptional Data & Evaluation Applied AI Scientist to serve as the domain expert ensuring that SES AI's complex battery-domain knowledge is correctly represented and validated within advanced AI systems, including LLM pipelines and multi-agent workflows. This role is vital for bridging the gap between raw battery materials knowledge and structured, AI-trainable data. As the Data & Model Quality Manager, you will focus on the integrity, structure, and fidelity of the knowledge embedded within our AI systems. Essential Duties and Responsibilities: * Data Curation & Validation * Translate deep Battery Materials Knowledge and next-generation battery concepts into correctly structured, high-quality, AI-trainable data. * Lead processes for rigorous data validation, cleaning, and annotation to ensure consistency and correctness across all datasets. * Oversee the creation and management of benchmark datasets and design domain-specific multimodal evaluations to test model accuracy. * AI System Quality & Correctness * Partner closely with AI architecture and engineering teams to ensure the correctness, reliability, and scientific reasoning quality of models, including LLM creation and multi-agent orchestration. * Implement techniques, including those inspired by reinforcement learning (RLHF), to tune and validate model behavior against established scientific principles. * Ensure that resulting models accurately understand molecular chemistry, materials data, and complex scientific reasoning in the battery domain. * Strategy & Collaboration * Drive the application of Battery Informatics principles across all data pipelines and modeling effots. Education and/or Experience: * Education: Ph.D. in Chemical Engineering with a focus on Lithium battery systems, Materials Science, or a closely related computational/domain field. * Domain Expertise: Deep expertise in battery materials, particularly knowledge required to convert complex, real-world data into AI-trainable formats. * Data Quality & Validation: Proven experience in data validation, annotation, and benchmark creation for complex scientific or engineering datasets. * AI Exposure: Experience working with advanced AI systems, including familiarity with LLM pipelines and the principles of multi-agent orchestration. * Applicable Background: Experience in roles such as Applied Scientist in Molecular/Materials AI or similar specialist roles focused on AI system quality in a scientific domain. Preferred Qualifications: * Advanced AI Techniques: Experience with specialized techniques used for model tuning and alignment, such as Reinforcement Learning from Human Feedback (RLHF). * Industry Precedent: Previous experience in specialized environments like battery focus labs, materials data science groups, or AI4Science teams with a focus on agent pipeline building and model tuning (e.g., drawing from precedents like DeepMind or Fair Labs). * Evaluation Design: Direct experience designing and executing domain-specific multimodal evaluations for complex AI models. * Computational Focus: Experience as a Computational battery AI specialist.

Make an impact at Analysis Group, where we provide our clients with thoughtful, pragmatic solutions to their most challenging business and litigation problems. Analysis Group is one of the largest economics consulting firms, with more than 1,500 professionals across 15 offices in North America, Europe, and Asia. Since 1981, we have provided expertise in economics, finance, health care analytics, and strategy to top law firms, Fortune Global 500 companies, and government agencies worldwide. Our internal experts, together with our network of affiliated experts from academia, industry, and government, offer our clients exceptional breadth and depth of expertise. Analysis Group provides economic, financial, and strategy consulting to law firms, corporations, and government agencies. At Analysis Group, Data Science is a center of excellence within a company that already has decades of experience focused on analysis involving data. The Data Science team is charged with collaborating with leading internal and external academic experts to find creative solutions to some of the most challenging and high-value problems we face. We are currently seeking a Senior Data Science Intern to join our team. The ideal candidate should be passionate about working on cutting edge research and analytical services for Fortune 500 companies, global pharma/biotech firms and leaders in industries such as finance, energy and life sciences. The Senior Data Science Intern will be a contributing member to client engagements and have the opportunity to work with our network of world-class experts and thought leaders. Job Functions and Responsibilities: The Senior Data Science Intern will help develop, maintain and teach new tools and methodologies related to data science and high-performance computing. This position will also help Analysis Group in maintaining our leadership position in terms of advancing methodology and data analytics. The Data Science Intern will be responsible for staying abreast of new developments in technology relating to data science, to share more broadly with Analysis Group. Key responsibilities for this position will include: Working with project teams to address data science/computing challenges Identifying opportunities for technology to enhance service offerings Acting as a resource and participating in client engagements and research as part of the project team Maintaining up-to-date knowledge of computing tools, providing technical training and helping to grow the in-house knowledge base, specifically in a Linux environment Examples of activities for the Senior Data Science Intern will include: Conducting advanced statistical and mathematical analyses to address complex research questions to derive actionable insights that support client decision-making Developing data engineering and machine learning production systems for full stack data science projects Using natural language processing methodologies to work with EMR data, social media data and other unstructured data Optimizing procedures for managing and accessing large databases (e.g., insurance claims, electronic health records, financial transactions) Creating interactive analytics portals and data visualizations (e.g., using R/Shiny, Python/Flask, D3) Leveragingon grid and cloud computing environments, and developing software packages in R, Python, and other object-oriented languages Establishing optimized procedures for repetitive or computationally intensive tasks (C, C++, Cuda-C) Qualifications: Pursuing a PhD is required, preferably in Computer Science, Data Analytics, Data Science, Economics, Mathematics, Statistics, or related subjects Proven ability to independently apply advanced statistical and mathematical methods to tackle complex research questions and drive meaningful insights Strong credentials and experience in working with both structured and unstructured data, along with data visualization skills, are required Proficiency in Python and/or R is required, with project experience in either language Familiarity with online/cloud computing and storage platforms (e.g., Azure, AWS) is preferred, along with experience working within an HPC environment Experience working within a Linux environment is a plus, as well as experience with Docker and front-end development using a JavaScript framework (e.g., Vue.js, Angular) Eagerness and ability to quickly learn new skills, analytical methodologies, and technologies to effectively support and contribute to project teams Demonstrated experience working on project teams and collaborating with others Strong interpersonal, written, and oral communication skills Candidates who will require future visa sponsorship must have valid U.S. work authorization, such as F-1 CPT or J-1 Academic Training, for the duration of their internship and, except in exceptional circumstances, must also be pursuing a STEM-eligible degree. For such individuals, Analysis Group will provide certain immigration administrative support during their internship, as appropriate under prevailing immigration policy. However, we do not offer sponsorship for internship positions. Analysis Group embraces equal opportunity. We are committed to building teams that bring a variety of backgrounds, perspectives, and skills, as we believe that a strong and inclusive workforce directly supports our goal of providing the highest-quality work. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other class protected under applicable federal, state, or local law, and we encourage candidates of all backgrounds to apply. Senior Data Science Interns are compensated at a weekly rate of $3,000, and may be eligible for certain benefits. For a general description of all Analysis Group employment benefits, click here. How to Apply: When submitting your application, please include a resume and cover letter. Privacy Notice For information about Analysis Group's privacy practices, please refer to the applicable Analysis Group . Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities. Please view the EEOC's “Know Your Rights” poster here.

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.

Who We Are: Since 1906, New Balance has empowered people through sport and craftsmanship to create positive change in communities around the world. We innovate fearlessly, guided by our core values and driven by the belief that conventions were meant to be challenged. We foster a culture in which every associate feels welcomed and respected, where leaders and creatives are inspired to shape the world of tomorrow by taking bold action today. JOB MISSION: The MADE Operations Data Scientist will enable a more data-driven, digitally native culture across the MADE in USA team by applying advanced analytics, statistical modeling, and data science techniques to solve operational challenges. This role supports cross-functional operations-spanning product development, engineering, planning, purchasing, and logistics-by delivering actionable insights, leading metric development, and building predictive models and alerting systems. The ideal candidate combines technical excellence in data science and data engineering with a deep understanding of footwear and apparel manufacturing, and the ability to translate complex data into clear, impactful business decisions. MAJOR ACCOUNTABILITIES: Develop and maintain Power BI dashboards and reporting systems that surface key operational metrics and drive visibility across the MADE organization. Build and deploy analytical models to forecast performance, identify bottlenecks, and optimize processes across product development, manufacturing, planning, and logistics. Design and maintain semantic data models that enable scalable, self-service analytics and support advanced querying and analysis. Conduct exploratory data analysis (EDA) to uncover trends, anomalies, and opportunities for operational improvement. Collaborate with cross-functional stakeholders to frame business problems as data science questions and deliver actionable insights. Implement alerting and monitoring systems that proactively flag deviations in performance or quality metrics. Partner with IT and data engineering teams to ensure robust data pipelines and infrastructure that support modeling and reporting needs. Validate and improve data quality across systems such as ERP, MES, PLM, and other operational platforms. REQUIREMENTS FOR SUCCESS: Minimum 2 years of experience in a data analytics or data science role within a brand that manufactures apparel and/or footwear. Proficiency in Python and open-source data science tools (e.g., Pandas, NumPy, Scikit-learn, Jupyter). Strong experience with Power BI, including DAX, data modeling, and dashboard design. Familiarity with manufacturing, supply chain, or product development data and systems. Experience designing semantic layers and integrating data from multiple sources (e.g., ERP, MES, PLM). Regular Associate Benefits Our products are only as good as the people we hire, so we make sure to hire the best and treat them accordingly. New Balance offers a comprehensive traditional benefits package including three options for medical insurance as well as dental, vision, life insurance and 401K. We also proudly offer a slate of more nontraditional perks - opportunities like online learning and development courses, tuition reimbursement, $100 monthly student loan support and various mentorship programs - that encourage our associates to grow personally as they develop professionally. You'll also enjoy a yearly $1,000 lifestyle reimbursement, 4 weeks of vacations, 12 holidays and generous parental leave, because work-life balance is more than just a buzzword - it's part of our culture. Temporary associates are provided three options for medical insurance as well as dental and vision insurance and an associate discount. Part time associates are provided 401k, short term disability, a yearly $300 lifestyle reimbursement and an associate discount. Flexible Work Schedule For decades we have fostered a unique culture founded on our values with a particular focus on in-person teamwork and collaboration. Our North American hybrid model encourages rich in-person experiences, showcasing our commitment to teamwork and connection, while maintaining flexibility for associates. New Balance Associates currently work in office three days per week (Tuesday, Wednesday, and Thursday). Our offices are fully open, and amenities are available across our North American office locations. To continue our focus on hybrid work we have introduced “Work from Anywhere” (WFA) for four weeks per calendar year. This model will help us enhance our culture while continuing to maintain elements of flexibility. Equal Opportunity Employer New Balance provides equal opportunities for all current and prospective associates to ensure that employment, training, compensation, transfer, promotion and other terms, conditions and privileges of employment are provided without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, age, handicap, genetic information and/or status as an Armed Forces service medal veteran, recently separated veteran, qualified disabled veteran or other protected veteran, or any other protected status.

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.

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

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

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.

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.

**Introduction** IBM Research takes responsibility for technology and its role in society. Working in IBM Research means you'll join a team who invent what's next in computing, always choosing the big, urgent and mind-bending work that endures and shapes generations. Our passion for discovery, and excitement for defining the future of tech, is what builds our strong culture around solving problems for clients and seeing the real world impact that you can make. IBM's product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive. **Your role and responsibilities** Within IBM Quantum, the Adoption Team is an elite team serving our partners as they research quantum computing solutions for their most pressing business challenges. We keep our partners up to date with the latest technical advances, and make sure they are empowered to use our software and services. As a data scientist intern, you will be supporting our data and analytics mission to drive reporting on and insights into the IBM Quantum partners and community members and your work will enable the team to make data-driven decisions. Focus areas will include adoption and impact of IBM Quantum hardware, software, learning and outreach content, and events. As a data scientist intern, your key stakeholders will be client/community-facing teams at IBM Quantum. In addition, you will interface across many individuals and parties at partner institutions and within IBM, including technical teams within IBM Quantum, product, marketing, and business development teams. You will support end-to-end workstreams, such as the building of new analytics resources and performing of advanced (predictive) data analysis. Successful attributes to thrive in this role are: * Creative in framing and solving complex problems * Self-starter * Agile in navigating a complex organization and in stakeholder management * Organized, with exceptional project management skills * Quick learner with an independent growth mindset * Able to absorb new technical concepts quickly and thoroughly * Excellent communication skills, with the ability to explain technical concepts clearly * Enthusiasm about quantum computing and data science **Required technical and professional expertise** * Pursuing a masters degree in data science or other quantitative field such as mathematics, computer science, statistics or physics * Proficiency with SQL and experience working with relational databases * Proficiency with Python and libraries commonly used for data analysis (e.g., NumPy, Pandas, SciPy, scikit-learn, matplotlib, Seaborn, etc.) * Knowledge of common machine learning algorithms and frameworks: linear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch * Experience building dashboards with one or more data visualization tools (experience with Metabase and/or Amplitude a plus) **Preferred technical and professional experience** * Experience with Github or other version control platform(s) * Demonstrated ability to communicate project insights and findings and propose actionable next steps IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

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

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.

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.

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.

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

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 Business Administration, Management Information Systems, Business Analytics, or a related field. Basic understanding of business process analysis, modeling, and improvement techniques. Ability to assist in the documentation, analysis, and optimization of business processes. Strong analytical skills, with the capability to interpret business data and workflows to identify inefficiencies and recommend improvements. Good organizational and project management skills, capable of managing multiple tasks and contributing to collaborative projects. Effective communication and interpersonal skills, essential for working with cross-functional teams and documenting process requirements. Familiarity with ERP systems or other business management software. Skills in data analysis and the use of analytics tools to support business decisions. Proficiency with Microsoft Office, particularly Excel, and familiarity with process mapping tools such as Visio or Lucidchart. Eagerness to learn about operational efficiencies and the application of technology in business processes.