Data science internship jobs in Readington, NJ

QSE7, a Pennsylvania-based consulting company, is seeking to hire a high-aptitude individual to perform business process optimization, data analysis, and software development services to our pharmaceutical, consumer healthcare and medical device clients. Job Responsibilities As a QSE7 Data Analyst, you will be expected to perform the following services for life sciences clients: Assess and continuously improve key quality, manufacturing and financial business processes Facilitate cross-functional ideation and voice-of-customer (VOC) sessions to identify pain points and opportunities to improve efficiency and effectiveness Analyze current-state data and design future-state data models Automate business processes by configuring and customizing Microsoft SharePoint, Power Apps, and Power Automate Develop sophisticated data analytics reports using Microsoft Power BI and Tableau Analyze data to identify trends and recommend solutions to address potential issues before they arise Perform project management services including documenting meeting minutes, developing project plans, proactively identifying and mitigating risks, and communication project status to team members, senior management and executive leadership Work collaboratively with cross-functional team members to ensure issues are resolved quickly and effectively Qualifications / Experience B.A. or B.S. degree required Deep technical expertise in Microsoft Excel, SharePoint, PowerApps, Power Automate and Power BI; VBA programming skills a plus 3-to-5 years of professional work experience; experience in the life sciences, manufacturing, or other federally regulated industry a significant plus Quantitative data analysis experience Excellent verbal and written communication skills Ability to lead and motivate teammates Ability to work independently and collaboratively in a problem-solving environment Ability to efficiently and effectively provide consulting services from a remote home office Experience with lean / agile methodologies About QSE7 Founded in 2016, QSE7 offers innovative and specialized Information Technology (IT) and Consulting services to FDA-regulated life sciences companies. Our areas of focus include program/project management, process analysis, automated business process improvements, data analytics and reporting, and implementation of IT solutions based on Microsoft technologies, such as Excel, MS Teams, SharePoint, Power BI and Power Automate. We strive to bring automation and efficiency to our clients' processes by providing high-quality and intuitive solutions in an efficient, comprehensive manner.

Role: HEDIS Data Analyst Key Responsibilities Must have HEDIS Analytics & Reporting Develop, validate, and maintain HEDIS measure calculations based on NCQA specifications. Extract, transform, and analyse data from claims, eligibility, EHR, pharmacy, and lab systems. Support annual HEDIS submissions, including numerator/denominator validation, audit documentation, and data quality checks. Conduct trending, gap analysis, and performance monitoring for all HEDIS measures. Generate weekly/monthly dashboards for stakeholder consumption. Data Engineering & ETL Support Develop and optimize SQL queries, ETL pipelines, and data transformations. Collaborate with IT/data engineering teams to improve data quality and resolve inconsistencies. Create field mappings, data lineage documentation, and technical specifications. Chart Review / Hybrid Measures Produce and manage provider retrieve lists for medical record collection. Validate chart abstraction output for accuracy and completeness. Support provider outreach related to missing documentation and care gaps. Cross-Functional Collaboration Partner with Quality Improvement, Clinical, Provider Relations, and Compliance teams to support initiatives. Provide guidance on data anomalies, measure interpretation, and technical HEDIS questions. Present insights and trend analyses to leadership. Audit & Compliance Assist with HEDIS Compliance Audit preparation and documentation. Ensure adherence to NCQA guidelines and regulatory requirements. Maintain audit trails and detailed reporting artifacts. Technical Skills Advanced SQL (required). Experience working with healthcare payer datasets (claims, eligibility, provider, EMR, pharmacy, lab). Understanding of healthcare coding standards (ICD-10, CPT, HCPCS, LOINC, NDC). HEDIS / Healthcare Domain Knowledge Deep understanding of NCQA HEDIS technical specifications. Experience with hybrid and administrative measures. Knowledge of HEDIS audit processes and regulatory timelines. Familiarity with care gap workflows and quality improvement strategies.

***This role is hybrid three days per week onsite in Parsippany, NJ. LOCAL CANDIDATES ONLY. No relocation*** Data Scientist • Summary: Provide analytics, telemetry, ML/GenAI-driven insights to measure SDLC health, prioritize improvements, validate pilot outcomes, and implement AI-driven development lifecycle capabilities. • Responsibilities: o Define metrics and instrumentation for SDLC/CI pipelines, incidents, and delivery KPIs. o Build dashboards, anomaly detection, and data models; implement GenAI solutions (e.g., code suggestion, PR summarization, automated test generation) to improve developer workflows. o Design experiments and validate AI-driven features during the pilot. o Collaborate with engineering and SRE to operationalize models and ensure observability and data governance. • Required skills: o 3+ years applied data science/ML in production; hands-on experience with GenAI/LLMs applied to developer workflows or DevOps automation. o Strong Python (pandas, scikit-learn), ML frameworks, SQL, and data visualization (Tableau/Power BI). o Experience with observability/telemetry data (logs/metrics/traces) and A/B experiment design. • Preferred: o Experience with model deployment, MLOps, prompt engineering, and cloud data platforms (AWS/GCP/Azure).

Data Analyst Department: Client Operations Reports to: EVP, HUB Operations FLSA: Exempt The Corporate office operating hours are Monday through Friday 8:30 am - 5:00 pm EST. Primary Function: The incumbent is responsible for the data outreach, data capture/loading, and data reporting per specific program requirements. Job Scope and Major Responsibilities: Reach out to member pharmacies to gather missing data, clarify data inconsistencies, and offer technical assistance/expertise if necessary Identify, investigate, and resolve data anomalies using SQL or other statistical analysis software Ensure that Asembia's data reports meet program requirements and are delivered in a timely manner by making necessary changes to improve data accuracy Process daily/monthly/quarterly master data functions as assigned Provide ad hoc data analysis to internal and external parties as requested Append pharmacy data reports to the Asembia database using applicable data rules to ensure quality of input through various stages of the data-loading process. Communicate findings of data investigations and manage expectations for internal and external stakeholders The timely submission of accurate data to appropriate parties. Maintaining a high level of customer service for Asembia's customers - manufacturers and members' pharmacies. Successful collaboration with other Asembia team members to attain a common goal. Attendance and schedule adherence is critical. Adhering to company policies and procedures. Possess a professional demeanor, focused on respectful communication, a positive and reliable attitude, and responsible behavior. This includes dressing appropriately, being punctual, maintaining composure, and demonstrating accountability for your actions. Working outside of core business hours may be required. Other duties as assigned. Compliance with the provisions of the Health Insurance Portability and Accountability Act of 1996 and its implementing regulations, as amended (“HIPAA”). Qualifications: Bachelor's Degree required. B.A./B.S. Information Systems or similar field preferred. Minimum 2 years of experience working with pharmaceutical data in a team-driven environment Advanced Excel skills (building Macros, pivot tables & pivot charts, writing formulas, etc.). Proven track record with taking ownership of data investigations and seeing them through to resolution, preferably using SQL or other statistical analysis. The candidate must have client-facing experience and be able to articulate themselves clearly and concisely in their verbal and written communications. Excellent presentation and collaboration skills. Reliable and consistent attendance and schedule adherence is required. Asembia is committed to Equal Employment Opportunity (EEO) and to compliance with all Federal, State and local laws that prohibit employment discrimination on the basis of race, color, age, natural origin, ethnicity, religion, gender, pregnancy, marital status, sexual orientation, gender identity and expression, citizenship, genetic disposition, disability or veteran's status or any other classification protected by State/Federal laws .

Primary Duties & Responsibilities Develop models to derive real-time key manufacturing metrics, such as yield, throughput, WIP stock, and cycle time. Sources of complex real-world data include both in-house databases and commercial enterprise platforms, such manufacturing execution system (MES) and enterprise resource planning (ERP). Build automated reports on commercial platforms such as Microsoft Power BI and JMP Live. Conduct on-demand data analysis and visualization to fulfill dynamic business needs. Education & Experience A bachelor's degree in statistics, computer science, software engineering, physics, materials science, mathematics, or similar STEM field. 5 years' experience in data analytics in semiconductor, materials, or a related industry; or demonstratable equivalent abilities. Candidates with a moderately lesser experience may apply, who will be considered for a commensurately junior position. Skills & Other Requirements Modelling and analysis of complex and imperfect real-world data. Data visualization in Power BI, Tableau, or a similar platform. Functional knowledge of common data sources, such as SQL databases and Apache Parquet. Sound understanding of fundamental concepts in statistics. Ability to learn new concepts and skills fast. Knowledge in manufacturing, materials science, or natural sciences would be a plus. Excellent interpersonal and communication skills. Ability to align technical strategies to business objectives. Working Conditions Primarily office work on a computer. Occasional light tasks on the factory floor are possible. Physical Requirements Ability to sustainably work on a computer full-time. Ability to perform light physical tasks on factory equipment. Safety Requirements All employees are required to follow the site EHS procedures and II-VI Corporate EHS standards. Quality & Environmental Responsibilities Depending on location, this position may be responsible for the execution and maintenance of the ISO 9000, 9001, 14001 and/or other applicable standards that may apply to the relevant roles and responsibilities within the Quality Management System and Environmental Management System. Culture Commitment Ensure adherence to company's values (ICARE) in all aspects of your position at II-VI: Integrity - Create an Environment of Trust Collaboration - Innovate Through the Sharing of Ideas Accountability - Own the Process and the Outcome Respect - Recognize the Value in Everyone Enthusiasm - Find a Sense of Purpose in Work

At Genmab, we are dedicated to building extra[not]ordinary futures, together, by developing antibody products and groundbreaking, knock-your-socks-off KYSO antibody medicines that change lives and the future of cancer treatment and serious diseases. We strive to create, champion and maintain a global workplace where individuals' unique contributions are valued and drive innovative solutions to meet the needs of our patients, care partners, families and employees. Our people are compassionate, candid, and purposeful, and our business is innovative and rooted in science. We believe that being proudly authentic and determined to be our best is essential to fulfilling our purpose. Yes, our work is incredibly serious and impactful, but we have big ambitions, bring a ton of care to pursuing them, and have a lot of fun while doing so. Does this inspire you and feel like a fit? Then we would love to have you join us! Job Title Clinical Development Data Science Intern Why Genmab Our internship program provides interns with hands-on experience and relevant projects that directly align with our company's goals. Additionally, we believe our program provides a valuable opportunity to learn, thrive, and build a strong network. We encourage you to review our website to learn why we're always looking for smart, purpose-led candidates to play a role in our bold, extra[not]ordinary future. Job Overview The Clinical Development Data Science Intern will join Genmab's Clinical Development Data Science team and contribute to innovative AI/ML initiatives across the clinical development lifecycle. This role is ideal for a highly technical, impact-driven data scientist who is pursuing a Master's or PhD in a quantitative or computational discipline, and who is excited to apply modern machine learning, natural language processing, and generative AI to real clinical and scientific challenges in oncology. The intern will support projects such as building AI-powered tools to assist trial design, developing analytics pipelines for clinical and safety data, and prototyping advanced models that help clinicians and scientists make better, faster decisions. You will collaborate with experienced data scientists, data engineers, clinicians, and other cross-functional partners to deliver meaningful analyses, prototypes, and decision-support tools used across clinical development. What You'll Do * Develop machine learning and NLP pipelines to extract, organize, and summarize information from clinical trial protocols, regulatory documents, and unstructured biomedical text. * Support the development of AI-driven tools that: * Accelerate protocol design through information retrieval, extraction, and summarization. * Enhance pharmacovigilance and safety monitoring through risk modeling, anomaly detection, and severity prediction. * Apply advanced modeling techniques including transformers, generative models, survival analysis, clustering, and other ML approaches. * Experiment with explainability methods (e.g., SHAP, LIME) to improve the interpretability of models used in clinical decision-support contexts. * Contribute to documentation, model evaluation, technical reviews, and final presentations to internal stakeholders. Required Qualifications, Capabilities and Skills * Sustained progress in a PhD program in a quantitative or computational discipline (Computer Science, Data Science, Statistics, Physics, Computational Chemistry, Computational Biology, Applied Mathematics, Engineering, or related quantitative/technical field). * Master's students with strong applied experience will also be considered. * Strong proficiency in modern Python for machine learning and scientific computing (e.g., PyTorch/TensorFlow, scikit-learn, spa Cy, Hugging Face transformers, pandas, NumPy). * Candidates should be experienced in building modular scripts and reusable modules, command-line utilities, and structured codebases for data processing and machine learning workflows. * Experience applying ML or NLP methods to real-world datasets. * Ability to design, build, and evaluate computational models end-to-end. * Excellent analytical problem-solving abilities and intellectual curiosity. * Clear written and verbal communication skills. * High attention to detail, scientific rigor, and commitment to producing high-quality work. * Ability to work independently as well as collaboratively within interdisciplinary teams. Preferred Qualifications, Capabilities and Skills * Experience with large language models, retrieval-augmented generation (RAG), or generative AI workflows. * Prior work involving unstructured document parsing (e.g., PDFs, scanned text, scientific literature). * Full-stack data science skill set, including experience with: * Writing production-quality, modular, and reusable Python code * Building scalable, reproducible systems and packaging code for broader use * Containerization (e.g., Docker) and reproducible compute environments * Workflow or pipeline orchestration tools (Airflow, Prefect, Dagster, etc.) * Cloud computing environments (AWS, Azure, GCP) * Experience using Git repositories and version-control workflows, including: * Branching strategies, pull requests, peer code reviews * Good commit hygiene and collaborative development practices * Familiarity with GitHub, GitLab, or similar platforms * Exposure to CI/CD, structured logging, automated testing, or other professional engineering practices. * Experience with MLOps concepts such as model packaging, monitoring, reproducibility, and deployment is a strong plus. General Intern Information - Date/Location/Schedule Internships will take place June - August 2026. This role will be based in Princeton, NJ, and operate on a required hybrid schedule - 3 days in the office and 2 days remote per week. What's next? Help us learn about you by submitting a complete and thoughtful application, which includes your resume. Your application and resume are a way for us to initially get to know you, so it's important to complete all relevant questions to ensure we have as much information about you as possible. Every application matters to us, and we'll carefully review each submission as quickly as possible to see if your qualifications align with the role. While we're unable to provide individual updates, rest assured that we're working diligently to move through the process efficiently. If you move forward in the process, you'll receive an email invitation to connect with us and dive deeper into this exciting opportunity. The final stage will bring selected candidates meeting directly with our hiring teams, where you'll have the chance to showcase your potential. We are committed to keeping you informed and will share decisions with all candidates as soon as we are able. We can't wait to see where this journey takes you! About You * You are genuinely passionate about our purpose * You bring precision and excellence to all that you do * You believe in our rooted-in-science approach to problem-solving * You are a generous collaborator who can work in teams with a broad spectrum of backgrounds * You take pride in enabling the best work of others on the team * You can grapple with the unknown and be innovative * You have experience working in a fast-growing, dynamic company (or a strong desire to) * You work hard and are not afraid to have a little fun while you do so! Locations Genmab maximizes the efficiency of an agile working environment, when possible, for the betterment of employee work-life balance. Our offices are crafted as open, community-based spaces that work to connect employees while being immersed in our powerful laboratories. Whether you're in one of our office spaces or working remotely, we thrive on connecting with each other to innovate. About Genmab Genmab is an international biotechnology company with a core purpose to improve the lives of patients through innovative and differentiated antibody therapeutics. For 25 years, its hard-working, innovative and collaborative team has invented next-generation antibody technology platforms and harnessed translational, quantitative and data sciences, resulting in a proprietary pipeline including bispecific T-cell engagers, antibody-drug conjugates, next-generation immune checkpoint modulators and effector function-enhanced antibodies. By 2030, Genmab's vision is to transform the lives of people with cancer and other serious diseases with Knock-Your-Socks-Off (KYSO) antibody medicines. Established in 1999, Genmab is headquartered in Copenhagen, Denmark with international presence across North America, Europe and Asia Pacific. For more information, please visit Genmab.com and follow us on LinkedIn and X. Genmab is committed to protecting your personal data and privacy. Please see our privacy policy for handling your data in connection with your application on our website Job Applicant Privacy Notice (genmab.com).

Established in 1806 as a small soap and candle business in New York City, Colgate-Palmolive is now a truly global company with products sold in over 200 countries and territories under such internationally recognized brand names as Colgate, Palmolive, Softsoap, Irish Spring, Protex, Sorriso, Kolynos, elmex, Tom's of Maine, Sanex, Ajax, Axion, Soupline, Haci Sakir, Suavitel, PCA SKIN, EltaMD, Filorga and Hello as well as Hill's Science Diet and Hill's Prescription Diet. Colgate-Palmolive is a leading consumer products company that serves hundreds of millions of consumers worldwide with brands and products across four core businesses - Oral Care, Personal Care, Home Care and Pet Nutrition. We are committed to offering products that make lives healthier and more enjoyable, and programs that enrich communities around the world. Every day millions of people trust our products to care for themselves and the ones they love. Our goal is to use our technology to create products that will continue to improve the quality of life for our consumers wherever they live. A career at Colgate-Palmolive is an excellent opportunity if you seek a global experience, constant challenge, and development opportunities in an environment that respects work/life effectiveness. Information at a Glance Apply now Job Title: Data Analytics Internship Travel Required?: No Travel Posting Start Date: 11/13/25 Hybrid No Relocation Assistance Offered Job Number #170463 - Piscataway, New Jersey, United States Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values-Caring, Inclusive, and Courageous-we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. Colgate-Palmolive invites you to apply for the Spring 2026 Data Analytics Internship for the Global Information Technology (GIT) organization. This role is a six-month paid hybrid program, starting in January and continuing into the spring semester with opportunity to extend. As an integral part of the Hill's Data Foundation and Analytics Team, this internship provides a valuable opportunity to gain hands-on experience focusing on Dashboard Design (UI/UX) and data product strategy. You will be working alongside experienced engineers and reporting to the Product Manager, specifically focusing on Digital Lab Core and Insight. We are looking for a candidate who is curious about data and has a strong ability to understand data relationships and "connect the dots" to provide business value. Responsibilities May Include: * Designing and building compelling, easy-to-read dashboards for business stakeholders, with a strong focus on UX/UI principles and familiarity with Figma. * Assisting the Product Manager with the development of strategic data products for the marketing and commercial digital space. * Performing data analysis using SQL and Python (e.g., in Jupyter Notebooks) to uncover insights that support product strategy. * Translating complex data relationships and business requirements into clear, scannable, and actionable visualizations. Requirements: * Must currently be enrolled in a Bachelor's or Master's degree program at a college or university with a graduation date of or later than May 2026. * Majoring in Data Science, Computer Science, Business Analytics, Information Systems, Human-Computer Interaction, or a related field. * Documentation of authorization to work in the United States, not requiring visa sponsorship now or in the future * A minimum GPA of 2.8 * Strong, demonstrated skill set in Dashboard Design and UX/UI, with an understanding of how to visualize data effectively for a business audience. * Demonstrated familiarity with data analysis and programming languages (especially SQL and Python, e.g., Jupyter Notebooks) through courses or personal projects. * Must be available to work hybrid at our Piscataway, NJ office location throughout the entire internship * At least once a week between Monday-Thursday * This position requires a 6-month commitment (January-June) * Must be available to work 20 hours/week during the academic semester Compensation and Benefits Salary Range $23.50 - $33.50 USD Pay is determined based on experience, qualifications, and location. Salaried employees may also be eligible for discretionary bonuses, profit-sharing, and long-term incentives for Executive-level roles. Benefits: Salaried employees enjoy a comprehensive benefits package, including medical, dental, vision, basic life insurance, paid parental leave, disability coverage, and participation in the 401(k) retirement plan with company matching contributions subject to eligibility requirements. Additional benefits include a minimum of 15 vacation/PTO days (hourly employees receive a minimum of 120 hours) and 13 paid holidays (vacation days are prorated based on the employee's hire date within the calendar year). Paid sick leave is adjusted based on role and location in accordance with local laws. Detailed information regarding paid sick leave entitlements will be provided to employees upon hiring and may be subject to adjustments based on changes in legislation or company policies. Our Commitment to Inclusion Our journey begins with our people-developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation. For additional Colgate terms and conditions, please click here. #LI-Hybrid Apply now

The Temporary Contracts Data Analyst will play a key role in supporting IEEE's Conferences, Events, and Experiences (CEE) department through detailed contract data analysis and accurate, compliant payment processing. This highly collaborative role works closely with both the Contracts and Finance teams to ensure that all contractual commitments and financial obligations are accurately captured, tracked, and fulfilled on time. The ideal candidate will combine strong analytical skills with exceptional attention to detail and a deep commitment to accuracy and compliance. This position is integral to ensuring that all executed contracts and associated payments align with IEEE policies, financial standards, and tax regulations. The role reports to the Senior Manager, Event Vendor Management & Contracting, and does not manage direct reports. This position works under minimal supervision. Key Responsibilities * Review and analyze executed hotel contracts within IEEE's centralized contract management system (CMS). * Identify, extract, and record key data points, including (but not limited to): * Room block details (dates, quantities, rates, review/release dates) * Food & Beverage minimums and review dates * Deposit schedules, payment terms, and due dates * Cancellation and attrition clauses, including tiered penalties and timelines * Concessions, rebates, commissions, and other negotiated financial terms * Special commitments, hotel obligations, or planner responsibilities * Enter all collected information into standardized tracking templates or internal reporting tools. * Flag missing, inconsistent, or ambiguous data for internal review and clarification. * Summarize relevant contract details to provide visibility for internal teams and conference organizers. * Partner with the Contracts team to ensure all commitments and deliverables are accurately reflected in tracking systems and communicated to stakeholders. * Collaborate closely with the Finance team to process and reconcile payments tied to executed agreements, ensuring that all disbursements align with contract terms and are fully supported by proper documentation. * Review and validate payment requests for vendors, speakers, and other payees to confirm accuracy, compliance, and proper authorization. * Maintain organized records of all contractual and payment data to support timely reporting and clear audit trails. * Proactively communicate with conference organizers and internal teams regarding payment status, missing documentation, or contract fulfillment requirements. * Support continuous improvement by identifying process gaps and recommending efficiencies in contract tracking and payment workflows. Qualifications - Education * Bachelor's degree or equivalent experience Work Experience * 2-4 years' experience preferred with contract negotiation and document review in a procurement capacity * 2-4 years' experience in a data analytics role Skills and Requirements * * Prior experience reviewing contracts or working with contract data strongly preferred. * Strong attention to detail and accuracy in data entry and analysis. * Excellent organizational and communication skills. * Proficient in Microsoft Excel, Word, and data tracking systems * Ability to work independently and manage multiple tasks in a fast-paced environment. * Excellent communication skills (verbal/written), time and project management skills, dedication to detail and the ability to work under pressure in a deadline driven environment. * Positive attitude and a supportive, team-based approach towards the attainment of departmental goals. * Must have the ability to represent the IEEE in a professional manner *

As a Data Scientist Intern, you will work on cutting-edge analytical and data engineering projects that drive measurable business impact across pricing, underwriting, marketing, and claims. This internship is ideal for a technically curious, motivated problem-solver who wants hands-on data science experience. RESPONSIBILITIES * Support the design, construction, and optimization of robust data pipelines to enable machine learning and analytical modeling. * Contribute to the design and implementation of data and ML workflows using orchestration tools such as Dagster, Airflow, or similar frameworks. * Help implement data quality checks, validation routines, and monitoring for automated data workflows. * Assist in organizing and managing internal GitHub repositories to standardize ML project structures and best practices. * Collaborate with data scientists and engineers to automate the ingestion, transformation, and delivery of data for model development. * Contribute to initiatives migrating analytical processes into cloud-based data lake architectures and modern platforms such as AWS or Snowflake. * Develop reusable and well-tested code to support analytical pipelines and internal tools using Python and SQL. * Conduct data mining, cleansing, and preparation tasks to build high-quality analytical datasets. * Participate in model development, including data profiling, model training, validation, and interpretation. * Build and evaluate predictive models that enhance profitability through improved segmentation and estimation of insurance risk. * Assist in studies evaluating new business models for customer segmentation, retention, and lifetime value. * Collaborate with business leaders to translate insights into operational improvements and cost efficiencies. QUALIFICATIONS * Currently pursuing or recently completed a Master's in Data Science, Computer Science, Statistics, Economics, or related field. * Proficiency in Python (Pandas, NumPy, Scikit-learn, XGBoost, or PyTorch) and SQL. * Understanding of data engineering concepts, ETL/ELT workflows, and machine learning deployment. * Exposure to workflow orchestration tools (e.g., Airflow, Dagster, Prefect) and Git/GitHub for collaborative development. * Familiarity with Docker, CI/CD pipelines, and infrastructure-as-code tools such as Terraform preferred. * Knowledge of AWS cloud services such as S3, Lambda, EC2, or SageMaker a plus. * Experience with common modeling techniques (e.g., GLM, tree-based models, Bayesian statistics, NLP, deep learning) through coursework or projects. * Strong analytical, communication, and problem-solving skills. * A self-starter mindset, with attention to detail and enthusiasm for learning new technologies. SALARY RANGE The pay range for this position is $35 hourly. ABOUT THE COMPANY The Plymouth Rock Company and its affiliated group of companies write and manage over $2 billion in personal and commercial auto and homeowner's insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of "A-/Excellent". #LI-DNI

The Future Talent Program features internships that last up to 12 weeks and will include one or more projects. These opportunities in our Research Division can provide you with great development and a chance to see if we are the right company for your long-term goals. We are seeking an intern to join our Data Rich Experimentation (DRE) organization within Process Research & Developing Enabling Technologies (PR&D ET) located in either Rahway, NJ or West Point, PA. Primary Responsibilities: In this role, the chosen candidate will work with a team of scientists tasked with identifying, developing, and deploying data-rich technologies aimed at improving the manner in which process understanding is gathered. The tools that we develop are as diverse as the team developing them, and in this intern role, the chosen candidate will leverage data-dense scientific approaches to enable our process research and development efforts across our Company's small molecule, biologics, and vaccines portfolio. Our DRE organization is responsible for the invention and application of new data-rich and digital tools to support the scientists across process research and development at our Company. We aspire to embed data-intensive technologies into the fabric of our Company's process development culture. This intern role is a scientific position tasked with helping solve complex process research and development challenges in an interdisciplinary, collaborative environment via invention, development, and application of cutting-edge tools. Our current areas of interest include high-throughput experimentation, bench-top automation, process modeling and simulation, kinetics and mechanism elucidation, process analytical technologies (PAT), machine learning and data science, digital tools, catalyst and ligand screening, and other process enabling technologies. Ultimately, using data-rich and digitally-fluent methodologies, we aim to elucidate a deeper understanding of our processes across diverse medicines and vaccines. In addition to a passion for data-rich experimentation, the chosen candidate should have excellent interpersonal, communication, and collaboration skills. The chosen candidate should embrace and model our core values of diversity and inclusion, including fostering a supportive culture where all can thrive. The chosen candidate should be able to effectively collaborate in a dynamic, integrated, and multidisciplinary team environment. The chosen candidate should demonstrate a clear ability to learn and perform scientific research in a team-oriented manner that builds trusted partnerships across vast stakeholder networks. The chosen candidate should have willingness to learn how to publish and present research, including interacting with the broader academic community. The chosen candidate will join a diverse group of scientific problem solvers who are dedicated to creating the life-changing medicines and vaccines of tomorrow. Education Requirements: Must be currently enrolled in a BS, MS, or PhD program in Chemistry, Biochemistry, Engineering, Data Science, Computer Science, Mathematics, Physics, Biology, Pharmaceutical Sciences, or a closely-related field and will be returning to school after completion of the internship (unless the internship is a requirement for their degree) Must be authorized to work in the United States Must have availability to complete a 10-12 week full-time internship experience at our Company, beginning in June 2026. Required Experience and Skills: Candidate must be highly-motivated and technology-centric scientist. Candidate must be passionate about modernizing our Company's process development practices across biologics, vaccines, and small molecule modalities. Candidate must have the ability to work collaboratively in a multidisciplinary team environment. Candidate must have the ability to learn new skills and technologies under compressed timelines. Candidate must have the ability to work in a team environment with cross-functional interactions. Preferred Experience and Skills: Candidate should be motivated to learn new skills, willingness to take on new challenges, and scientific curiosity. Candidate should have experience demonstrating scientific ability through publications and presentations in scientific conferences. Candidate should have excellent communication skills, demonstrated creativity, and effective interpersonal skills. Candidate should have the ability to deliver complex solutions in a dynamic environment. Candidate should have collaborative research efforts that are praised by the broader scientific community and are exemplary of a multidisciplinary group. Candidate should have evidence of cross-functional collaboration. To learn more about the PRD team, click: Join Our Process Research & Development Team Please note that this position may be closed before the posted end date or may remain open longer, at the discretion of the company. Salary range: The salary range for this role is $39,600.00-$105,500.00 USD FTP2026 RL2026 PRD Required Skills: Preferred Skills: Current Employees apply HERE Current Contingent Workers apply HERE US and Puerto Rico Residents Only: Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process. As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit: EEOC Know Your Rights EEOC GINA Supplement We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another's thinking and approach problems collectively. Learn more about your rights, including under California, Colorado and other US State Acts U.S. Hybrid Work Model Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as “remote”. San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status: Intern/Co-op (Fixed Term) Relocation: No relocation VISA Sponsorship: No Travel Requirements: No Travel Required Flexible Work Arrangements: Not Applicable Shift: 1st - Day Valid Driving License: No Hazardous Material(s): n/a Job Posting End Date: 11/3/2025 *A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

Job Description World Insurance Associates is a unique insurance organization offering top products and services from major providers, combined with attentive service from local agents. Founded in 2011, World is one of the fastest-growing insurance brokers in the U.S. with over 2,200 employees in over 260 offices across North America. We specialize in personal and commercial insurance lines, surety and bonding, employee benefits, financial and retirement services, and human capital management solutions. Our rapid growth and market leading presence has created opportunities throughout the state and we offer top talent the choice to work from one of our multiple offices throughout the region. Position Overview This position's primary responsibility will be to provide technical expertise, coordinate day-to-day deliverables for the data analysis & data governance team and interpret and analyze large datasets. The candidate should be well versed in the fields of analytics, testing, programming, and development; able to research technologies independently to recommend appropriate solutions & should contribute to technology-specific best practices & standards; contribute to success criteria from design through deployment; contribute expertise on significant application components, program languages, databases, operating systems, testing phases etc. Key Responsibilities: Conduct in-depth analysis of large datasets to identify trends, patterns, and anomalies Data cleansing and preparation, including cleaning and preprocessing raw data to ensure accuracy and reliability, developing and implement data quality standards and working with a team to integrate and automate data pipelines Create and maintain comprehensive dashboards and reports for key performance indicators Use visualization tools (e.g., Tableau, Power BI) to present complex data in an understandable format Self-motivated with ability to work effectively with limited supervision, enthusiasm for collaboration, continuous learning, and a team player. Advanced Excel expertise (pivot tables, VLOOKUPS, Power Pivot, functions, etc.) Understand importance of code review and automated testing and different levels at which these need to be performed and write and implement tests as required. Bachelor's degree or foreign equivalent from an accredited institution. Preferred Qualifications Experience in design, development, and deployment of BI solutions using PowerBI (DAX, RLS), Python, Pyspark, Google Big query. Knowledge or experience in implementing solutions with Microsoft PowerApps, Power Automate, and/or Common Data Service (Power Platform). Data Governance, Data Quality, Master Data Management knowledge. 3-5+ years of proven experiences as a data analyst 3-5+ years of T-SQL language/query experience with data manipulation (SQL) like stored procedures, functions etc. Knowledge of data models, data modelling (Relational and Dimensional), Data profiling and working with large data environments. Strong communication, team player and advance analytical skills to analyze data issues and drive appropriate actions with data operations and business processes. Position Summary This position is located in New Jersey. The base salary for this position at the time of this posting may range from $80,000 to $90,000. Individual compensation varies based on job-related factors, including business needs, experience, level of responsibility, and qualifications. We offer a competitive benefits package and variable pay programs, please visit ************************************** for more details. Equal Employment Opportunity At World Insurance Associates (WIA), we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our products, and our community to flourish. WIA is honored to be an equal opportunity workplace. We are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, age, citizenship, marital status, disability, gender identity, sexual orientation, or Veteran status. In addition, WIA makes reasonable accommodations to known physical or mental limitations of an otherwise qualified applicant or employee with a disability, unless the accommodation would impose an undue hardship on the operation of our business. TO EXECUTIVE SEARCH FIRMS AND STAFFING AGENCIES: World does not accept unsolicited resumes from any agencies that have not signed a mutual service agreement. All unsolicited resumes will be considered World's property, and World will not be obligated to pay a referral fee. This includes resumes submitted directly to Hiring Managers without contacting World's Human Resources Talent Department. #LI-GP1#LI-HYBRID Powered by JazzHR ZrwqzemlNu

About Client: They are an equal opportunity employer and with value diversity at their company. They do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Job Description: As a healthcare consultant, you will be working independently on individual projects followed by handling an excellent relationship with the client. On the whole your going to be a passionate player in using statistical tools and positive attitude. We are looking for a person who is too awesome, who loves the role and works with a lot of passion. We are awaiting to meet the excellent analytic specialist exactly like you. We would love to listen to your career success and will anticipate for your interest towards this job and I believe: You are powerful in data science, business reporting, and statistical analysis. You are proficient in Business Intelligence and Reporting. You are an expertise with R, SAS, SPSS. You have worked in Healthcare. You are amazing in using Predictive Modeling and advanced statistical techniques. You are excellent in Data Visualization. You are good in using Cognos and Business Objects. You will be reporting to the Senior Consultant. About our client: They are an equal opportunity employer and with value diversity at their company. They do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Additional Information All your information will be kept confidential according to EEO guidelines.

Experience in R, Python, creating data models using advanced predictive modeling algorithms (e.g. Boosted Trees, k-nearest neighbor, SVM, Random forest, CART, etc.) and working with unstructured data (NLP/ Hadoop/ NoSQL database). Experience in R/SAS for data cleaning & manipulation Experience in Claims data processing. Experience in Statistical Modeling Qualifications Bachelor's degree in Computer Science or related field Position requires 3 to 5+ years in data anlaystical, Financial Services industry, preferably in Retirement, Investments, or Wealth Management. Additional Information Job Status: Permanent Share the Profiles to ***************************** Contact: ************ Keep the subject line with Job Title and Location

Work Arrangement: Hybrid (3 days onsite, 2 days remote) Employment Type: Full-time (W2 only - No C2C or 1099) Experience Required: 7+ years We are seeking a highly skilled Data Scientist with a strong background in machine learning, data modeling, and statistical analysis. The ideal candidate will have at least 7 years of hands-on experience in designing, developing, and deploying ML models, preferably in a risk-related or financial services environment. This role will support data-driven decision-making processes and help deliver innovative AI/ML solutions in a collaborative and high-performance team setting. Develop, validate, and implement machine learning and statistical models. Work with large-scale datasets to extract actionable insights. Collaborate with cross-functional teams including data engineering, product, and risk teams. Analyze and interpret the results of model performance and deliver recommendations. Stay current with emerging trends and tools in AI/ML and model risk management. Must-Have Skills: 7+ years of experience in Data Science or a related field. Proficiency in Python for data analysis, modeling, and ML development. Strong understanding of machine learning algorithms and statistical modeling. Hands-on experience with data visualization and analytical tools. Excellent problem-solving and communication skills. Good to Have: Experience in Model Risk Development related to ML or LLMs (Large Language Models). Financial services or risk modeling background.Candidate Requirements: Local to or willing to commute to Pennington, NJ. W2 candidates only - no third-party or C2C engagements. Authorized to work in the United States without sponsorship. TopTech Talent is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. 🚫 Third-party recruiters, please do not reach out for this role.

Mirage is the leading AI short-form video company. We're building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage's products to reach their full creative and commercial potential. We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you'll have an opportunity to have an outsized impact on our products and our company's culture. Our Products Captions Mirage Studio Our Technology AI Research @ Mirage Mirage Model Announcement Seeing Voices (white-paper) Press Coverage TechCrunch Lenny's Podcast Forbes AI 50 Fast Company Our Investors We're very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us About the Role: As a member of our Data Science staff, you'll own end-to-end measurement by defining north-star metrics, architecting rigorous experiments, and converting insights into roadmap-shaping decisions. You'll partner with Product, Design, and Engineering to elevate instrumentation and data quality and deliver quantified recommendations that improve activation, engagement, retention, and revenue. Key Responsibilities: * Lead analysis and exploration to uncover trends in product and user behavior and prioritize the highest leverage opportunities * Design and evaluate rigorous A/B tests and set success criteria and power and guardrails and deliver clear post experiment readouts * Collaborate with cross functional leaders to define core metrics and establish data driven goals for product experimentation * Develop and maintain analytical models and reproducible pipelines that support full funnel analytics * Apply statistical techniques to identify patterns and opportunities in large datasets and quantify expected impact and risk * Create executive ready visualizations and dashboards that drive alignment and action among stakeholders * Embed with designers and engineers to guide instrumentation and ensure data informed decisions throughout the product lifecycle * Provide recommendations to improve user experience and conversion and overall product performance and track realized impact * Stay current on industry trends and emerging technologies in analytics and introduce pragmatic improvements to tools and methods Requirements: * 5+ years as a data scientist or in a similar role with a focus on product analytics * High proficiency in SQL and either Python or R for data manipulation, analysis, and modeling * Expertise in statistical analysis, hypothesis testing, and experimental design for A/B testing and product experimentation * In-depth knowledge of data visualization tools and techniques to effectively communicate insights and storytelling * Strong analytical thinking and problem-solving skills, with the ability to translate complex data into actionable recommendations * Strong written and verbal communication skills and the ability to partner with cross-functional teams to build a great business Bonus Points: * Master's or PhD in a quantitative field (Statistics, Mathematics, Computer Science, or related) * Full-funnel analytics experience, including data collection, cleaning, transformation, analysis, and performance measurement * Familiarity with modern data warehousing and large-scale data processing; comfortable working with very large datasets and distributed computing frameworks Benefits: * Comprehensive medical, dental, and vision plans * 401K with employer match * Commuter Benefits * Catered lunch multiple days per week * Dinner stipend every night if you're working late and want a bite! * Grubhub subscription * Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc) * Multiple team offsites per year with team events every month * Generous PTO policy Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please note benefits apply to full time employees only.

We are looking a Data Scientist Consultant in Trenton, NJ. The qualified Data Scientist will be part of our client's Prescription Overdose: Data-Driven Prevention Initiative (DDPI). The successful candidate ideally will have extensive experience working with large public health databases such as hospitalization data, vital records (death records) and prescription monitoring database. The Data Scientist will lead the preparation and consolidation of public health data to identify indicators for the dashboard and perform predictive modeling and analytics. The Data Scientist will work closely with the Departments Healthcare Quality and Informatics team assigned on this project, the Data Architect, and Office of Information Technology Services (HIT) staff. Responsibilities: Research and develop statistical learning models for data analysis Collaborate with HQI and HIT to understand general Department and the specific DDPI project needs and devise possible solutions Keep up-to-date with latest technology trends Communicate results and ideas to key staff in DOH Implement new statistical or other mathematical methodologies as needed for specific models or analyses Optimize joint development efforts through appropriate database use and project design This is an hourly position with opportunity for overtime. **All Candidates Must be Authorized to Legally Work in the US Without Sponsorship** Qualifications • Extensive background in data mining and statistical analysis • Ability to understand various data structures and common methods in data transformation • Excellent pattern recognition and predictive modeling skills • Experience with programming languages such as Java/Python is an asset • HDFS / Data Lake Stores / Analytics • SQL Databases / Warehouses / BISM Stack (SSMS, SSDT, SSIS, SSAS, SSRS) • Analysis Services (Tabular Mode / DAX / Cube concepts) • Experience with modeling and presentation technologies (SQL Server Analysis Services, Reporting Services, MicroStrategy, Business Objects, Cognos, Tableau, PowerBI, others) • Expertise in BI-related data architecture, integration, modeling, and presentation • Understands BI-related features and limitations of common database platforms (SQL Server, Analysis Services, Oracle, DB2, Postgres, others) • Experience with ETL technologies (SQL Server Integration Services, Data Factory) • At least 5-10 years as a data scientist with all of the skills listed above • Bachelor's Degree in Computer Science, Statistics, Applied Math or related field Education Preferred: • Master Degree in Computer Science, Statistics, Applied Math or related field Additional Information $500 Referral Fee Program Earn extra cash while helping your friends! VTS3 will pay you up to $500.00 for each person you refer to us and we place into a contract or full-time position. If you know someone who's a good candidate for any of our openings, use the "Refer a friend" button on this page and earn extra cash. The rules are simple: The referral must be made by using the "Refer a friend" button on this page The person you refer must be placed within 90 days of being referred The person you refer must complete 480 billable hours Cannot be someone we already have on our team or are currently working with VTS3 ONLY works directly with candidates. All candidates registered must be able to legally work in the United States.

Job Description We are looking for a talented Data Scientist skilled in Python and SQL. In this role, you will analyze large datasets, develop predictive models, and derive actionable insights that will guide business decisions. Requirements Proven experience as a Data Scientist or a similar role, with a strong focus on data analysis and modeling. Proficiency in programming languages, especially Python, and strong SQL skills for database management and querying. Experience with statistical analysis techniques and data visualization tools (e.g., Tableau, Matplotlib, Seaborn). Familiarity with machine learning frameworks and libraries (e.g., Scikit-learn, TensorFlow). Strong analytical skills and the ability to work with large datasets to extract meaningful information. Experience in data preprocessing, feature engineering, and model evaluation. Excellent problem-solving abilities and strong communication skills to present findings effectively. A degree in Computer Science, Mathematics, Statistics, or a related field is preferred. Benefits About Us We specialize in Digital, ERP, and larger IT Services. We offer flexible, efficient and collaborative solutions to any organization that requires IT, experts. Our agile, agnostic, and flexible solutions will help you source the IT Expertise you need. If you are looking for new opportunities, send your profile at ***************************. Also follow our LinkedIn page for new job opportunities and more. Zone IT Solutions is an equal opportunity employer and our recruitment process focuses on essential skills and abilities. We encourage applications from a diverse array of backgrounds, including individuals of various ethnicities, cultures, and linguistic backgrounds, as well as those with disabilities.

This role is with Guardian Life Insurance. Guardian Life Insurance uses RippleMatch to find top talent. 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): Holmdel, NJ Bethlehem, PA 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

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