At Jabil (NYSE: JBL), we are proud to be a trusted partner for the world's top brands, offering comprehensive engineering, supply chain, and manufacturing solutions. With 60 years of experience across industries and a vast network of over 100 sites worldwide, Jabil combines global reach with local expertise to deliver both scalable and customized solutions. Our commitment extends beyond business success as we strive to build sustainable processes that minimize environmental impact and foster vibrant and diverse communities around the globe. DATA SCIENCE INTERN JOB DESCRIPTION Build your career with Jabil! We challenge and empower you to make most of your talents, working with outstanding colleagues from diverse backgrounds who share your drive and passion to make Jabil grow! JOB SUMMARY A data science intern is a trainee who wants to gain working experience in the field of data science. Data science interns assist data scientists in collecting, analyzing, and interpret data sets to drive optimization and improvement of product development. As part of the company's trainees, Machine learning and generative AI interns are expected to assist in designing and implementing advanced ML pipelines and Gen‑AI solutions, including developing, training, and optimizing models to address complex real‑world problems. Data science interns must also coordinate with different functional teams to implement models and monitor outcomes. ESSENTIAL DUTIES AND RESPONSIBILITIES - Identifies and analyzes patterns in the performance of machine learning models, the types of Gen‑AI outputs produced (e.g., text, images), and the speed or unexpected variations in model behavior during training and inference. - Educates the organization both from IT and the business perspectives on new approaches, such as testing hypotheses and statistical validation of results, LLM model evaluation etc. - Works with engineering and data science teams to support model training, fine‑tuning, and deployment workflows, ensuring that machine learning and generative AI systems are properly integrated, monitored, and optimized based on business requirements. - Build dashboards using tools like power BI - Conducts basic data analysis JOB QUALIFICATIONS & KNOWLEDGE REQUIREMENTS - Proficient in Python/R, Cloud techniques development experience is plus - Familiar with regression models (i.e., xgboosting, lightGBM etc.), classification models (i.e., logistic regression, SVM, etc.), cluster models is preferred - Familiarity with generative AI models (e.g., GPT‑based large language models, diffusion models), prompt engineering techniques, and model fine‑tuning or customization is preferred. - Strong statistics knowledge is plus - Strong written and verbal communication skills and the ability to work effectively in teams and under pressure. Multi-lingual capability is a plus - Highly motivated and creative, thinking “out of the box” - Strong team mentality, interpersonal and communications skills - Enthusiasm and ability to seek out and learn new technologies and algorithms outside of your immediate toolset/knowledge to solve business problems where required EDUCATIONAL BACKGROUND & EXPERIENCE - Students who are taking his/her Bachelor or above degree in Computer Science, Machine Learning, Mathematics or Statistics The hourly pay range for this role is $16.00 - $32.00. Job-related, non-discriminatory factors used to determine the actual offered rate include qualifications and experience, geographic location, education, external market data, and consideration of internal equity. The anticipated close date of this job requisition is: March 10, 2026. As part of the total rewards package, Jabil offers benefits to enhance your health, wealth, and resilient self. These include medical, dental, and vision insurance plans; paid time off accruing at a rate of 3.07 hours during your first year of employment; 4 weeks of paid parental leave; in 2026, 11 company-paid holidays (9 fixed holidays and 2 optional floating holidays), subject to change yearly; 401(k) retirement plan; and employee stock purchase plan. BE AWARE OF FRAUD: When applying for a job at Jabil you will be contacted via correspondence through our official job portal with a jabil.com e-mail address; direct phone call from a member of the Jabil team; or direct e-mail with a jabil.com e-mail address. Jabil does not request payments for interviews or at any other point during the hiring process. Jabil will not ask for your personal identifying information such as a social security number, birth certificate, financial institution, driver’s license number or passport information over the phone or via e-mail. If you believe you are a victim of identity theft, contact the Federal Bureau of Investigations internet crime hotline (www.ic3.gov), the Federal Trade Commission identity theft hotline (www.identitytheft.gov) and/or your local police department. Any scam job listings should be reported to whatever website it was posted in. Jabil, including its subsidiaries, is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, or any other characteristic protected by law. Accessibility Accommodation If you are a qualified individual with a disability, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access Jabil.com/Careers site as a result of your disability. You can request a reasonable accommodation by sending an e-mail to Always_Accessible@Jabil.com or calling 727-803-7988 with the nature of your request and contact information. Please do not direct any other general employment related questions to this e-mail or phone number. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to. #whereyoubelong #AWorldofPossibilities #EarlyCareer

Join PatientPoint to be part of a dynamic team creating change in and around the doctor’s office. As a leading digital health company, we innovate to positively impact patient behaviors. Our purpose-driven approach offers an inspirational career opportunity where you can contribute to improving health outcomes for millions of patients nationwide. Location: Cincinnati, OH OR Remote Travel: Up to 20 days per year Job Summary The Data Science team at PatientPoint works on business problems across the enterprise, such as provider growth, pricing, operations, marketing, campaign measurement, and customer attrition. As a Senior Data Scientist, you will work on these problems by creating data products that synthesize available data into useful predictions, enable manual processes to be automated, and provide digestible information for human-in-the-loop decisions. What You’ll Do  - In this role, you’ll work with a cross-functional team to spearhead algorithmic pricing across the business. - You’ll be a core member of the team responsible for upgrading the ad tech stack PatientPoint relies on to deliver impactful point of care content. - To be successful, you’ll need to develop a deep understanding of the goals and constraints of campaigns and leverage machine learning and optimization methods to consistently deliver impactful results for clients. - As an experienced subject matter expert in this space, you’ll also mentor and coach less experienced data science team members as they continue to develop their skills. What We Need  - 6+ years of related data science experience developing data products, deploying models to production, and delivering analyses to internal and external stakeholders. - Candidates will be asked to provide examples from their previous experience and/or complete a project using analytics to create actionable insights.  - Bachelors degree in Applied Statistics, Computer Science, Operations Research, Business Analytics, Information Systems or a related field. - Fluency in Python and SQL, with end-to-end data stack experience including manipulation, analysis, visualization, model deployment, and pipeline orchestration. - Advanced knowledge and competency of machine learning and data science methods including predictive modeling, model validation and selection, network analysis, price elasticity estimation, optimization under constraints, etc. - Experience promoting models through the lifecycle and monitoring model performance. - Strong communication skills and a collaborative attitude for working with stakeholders. Desired Qualifications  - Masters or doctoral degree in Applied Statistics, Computer Science, Operations Research, Business Analytics, Information Systems or a related field . - Professional experience in healthcare, pharmaceutical, and digital advertising industries. - Experience with Snowflake, Cursor, Airflow, HEX, Gurobi. What You'll Need to Succeed  - Curious self-learner that enjoys staying current on emerging methods and trends and sharing with the team and others around them. - Highly self-motivated and self-directed. - Critical thinking with the ability to identify and solve problems in a fast-paced environment. - The ability to empower others through data storytelling - translating complex data findings into compelling narratives. Comfortable not only presenting the data but also explaining the insights in a context that resonates with the audience.  - Strong interpersonal, communication, and consulting skills. Ability to establish and maintain successful cross functional relationships and collaborate closely with multiple teams including engineering, product management, and pricing.  - Consistent ability to deliver results aligned to expected timelines.  - Enthusiasm for responding to a dynamic range of questions and analytical challenges.   Base Salary Band: $143,374 - $210,544 Compensation: At PatientPoint, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including skills, qualifications, geographic location, and professional experience, which can cause your compensation to vary. The base salary range listed is just one component of PatientPoint’s total compensation package for employees. For additional details on our total benefits package, please review the section “About PatientPoint” at the end of this job description. About PatientPoint: PatientPoint® is the Point of Change company, transforming the healthcare experience through the strategic delivery of behavior-changing content at critical moments of care. As the nation’s largest and most impactful digital network in 30,000 physician offices, we connect patients, providers and health brands with relevant information that is proven to drive healthier decisions and better outcomes. Learn more at patientpoint.com. Latest News & Innovations: - Named A Best Place to Work! Read More - Mike Walsh, COO answers "What Makes a Great Leader". Read More - Recognized on Vault’s Top Internship List. Read More What We Offer: We know you bring your whole self to work every day, and we are committed to supporting our full-time teammates with a comprehensive range of modernized benefits and cultural perks. We offer competitive compensation, flexible time off to recharge, hybrid work options, mental and emotional wellness resources, a 401K plan, and more. While these benefits are available to full-time team members, we strive to create a positive and supportive environment for all teammates. PatientPoint recognizes that privacy is important to you. Please read the PatientPoint privacy policy, we want you to be familiar with how we may collect, use, and disclose your information. Employer is EOE/M/F/D/V

• Design the infrastructure to move, clean, and store data for analysis. • Build and maintain models for credit risk, fraud detection, user behavior, and portfolio performance • Data quality monitoring • Partner with Product, Finance, Engineering and Compliance to embed data into decision-making • Define and track core business, risk, and growth metrics • Design experiments and analyses to improve unit economics and customer outcomes • Ensure data quality, governance, and scalable analytics infrastructure • Mentor junior analysts and help establish data best practices

About the Role: Health-E Commerce is seeking a Data Scientist to help shape the future of our modern data ecosystem. As a critical member of our centralized Data & Analytics team, you will be our primary expert in statistical modeling, machine learning, and AI applications built on top of our proprietary data platform leveraging unique first-party data. Reporting directly to the SVP of Data Science & Analytics, you will play a critical role in building out our key Data Science assets that are direct contributors to revenue, ranging from marketing measurement and optimization, site optimization and personalization, and forecasting. As one of the founding members of the Data Science team, you will work cross-functionally across marketing, finance, merchandising, and product. What You'll Do: - Statistical Modeling: Design and implement advanced statistical models for applications such as demand forecasting, regression analysis, and probabilistic sampling to solve real-world business challenges. - Machine Learning: Own the end-to-end ML lifecycle—feature engineering, model training, hyperparameter tuning, and deployment. Work with supervised, unsupervised, and ensemble methods to optimize performance across marketing, personalization, and operational use cases. - AI Applications: Explore and implement cutting-edge AI techniques (e.g., NLP, recommendation systems, generative models) for exploratory work in GenAI. - Data Modeling & Visualization: Collaborate with Data Engineering to ensure robust data pipelines for feature engineering and modeling. Partner with Analytics to deliver interactive dashboards and visualizations that integrate seamlessly with existing tools. - Business Insights: Translate complex technical outputs into actionable insights for stakeholders. Frame ambiguous business problems into testable hypotheses and communicate findings in clear, non-technical language without losing nuance. - Innovation & Thought Leadership: Stay ahead of industry trends in ML/AI and proactively identify opportunities to apply emerging technologies to Health-E Commerce’s ecosystem. What You'll Bring: - Minimum of 4+ years of experience in data science, statistical modeling, machine learning, AI or related experience. - Strong Python and SQL experience ; experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch). - Hands-on experience with advanced methods such as boosted decision trees, neural networks, clustering, and stochastic simulation. - Experience with various cloud data platforms working with data at scale and as part of end-to-end pipelines (e.g., Snowflake, Databricks, Azure Synapse, BigQuery, Microsoft Fabric). - Experience deploying ML models into production, including MLOps and model maintenance. - Proficiency in data visualization in at least one popular platform (Tableau, PowerBI, etc.) - Experience working as part of an end-to-end data team, with proven ability to collaborate across technical teams in data engineering, product, analytics, and technology. - Strong experience working in agile methodologies and using tools like Jira. - Proven ability to translate business needs into technical requirements and to explain technical models into actionable insights. Exceptional communication and stakeholder management skills. - Strong ability to translate ambiguous problems and translate into clear problem statements. - Experience in e-commerce, marketing, or digital health is highly desirable. - BA/BS in Computer Science, Data Science, Mathematics, Engineering, Economics or other technical function. Masters or PhD preferred. Compensation, Benefits, & Additional Details: Health-E Commerce's compensation philosophy is grounded in market data and internal equity to ensure fairness and consistency across the team. Individuals new to the company should generally expect offers to fall between the entry point and midpoint of the salary range. Our goal is to provide an offer that supports growth potential within the role and allows for future salary progression. - Compensation: $130,000-185,000 - Discretionary Annual Bonus Eligibility: Up to 15% - Medical, Dental, Vision, and 401K with a company match - Dependent Care, FSA & HSA accounts - Paid Parental & Bonding Leave - Flexible PTO & office closure on all major holidays - Monthly wellness & internet reimbursements - Professional development including certification support & leadership coaching - Mental Health resources - 100% remote within the United States - Must be able to work EST hours Candidate Privacy Notice