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New Brunswick, New Jersey, United States of AmericaJob Description:
Data Science Intern – Global Finance Data Science
Johnson & Johnson
Position Summary
Join Johnson & Johnson’s Global Finance Data Science team to build production-minded analytics and AI solutions at enterprise scale. You will work with a global team of Data Scientists, Data Engineers, Finance Analysts, and ML Engineers to advance the data science and AI roadmap for Global Finance: delivering predictive insights, automation that reduces manual workload, and interactive decision-support experiences.
You will contribute across the solution lifecycle: problem framing, proof-of-concept, development, deployment, and adoption. Ensuring the right level of automation, integration, and governance for real-world use.
Key Responsibilities:
1, Predictive Analytics & Decision Support (50%)
- Develop and evaluate statistical/ML models for financial forecasting and decision support (e.g., time series, supervised learning).
- Engineer features and datasets from large enterprise sources; apply rigorous validation and error analysis.
- Communicate results with clear business context; translate insights into actions and measurable outcomes.
2. AI-Driven Process Improvement & Automation (20%)
- Design and prototype AI-enabled process improvements, including targeted Generative AI use cases.
- Build repeatable workflows (automation/orchestration as applicable) and contribute to scalable integration patterns.
- Apply engineering discipline: version control, reproducible pipelines, documentation, and basic monitoring metrics.
3. Reporting & Interactive Analytics (20%)
- Develop interactive dashboards and analytics products (Power BI/Tableau) and/or lightweight apps (Dash/Streamlit).
- Partner with stakeholders to define requirements, iterate quickly, and drive adoption through usability-focused design.
4. Governance & Operational Excellence (5%)
- Support documentation, model/run governance, and operational performance tracking for deployed solutions.
5. Team & Development (5%)
- Provide concise status updates, participate in team ceremonies, and actively learn the team’s standards and tooling.
Minimum Qualifications:
- Pursuing a BS/MS in a quantitative discipline (e.g., CS, DS, Statistics, Engineering, Economics/Finance, Operations Research).
- Strong Python proficiency with evidence of clean, structured code (projects, research, internships, or competitions).
- Strong SQL skills and comfort working with large datasets (joins, aggregations, window functions preferred).
- Solid foundations in statistics and machine learning; ability to explain modeling choices, assumptions, and trade-offs.
- Strong communication skills: can present complex analysis clearly to technical and non-technical stakeholders.
- An equivalent cumulative GPA of 3.0 or higher
- Authorization to work in the United States on a permanent, full-time basis is required
Preferred Qualifications:
- Experience taking a model from notebook → reproducible pipeline (packaging, tests, CI/CD concepts, or workflow tooling).
- Exposure to cloud/data science platforms (e.g., AWS, Domino) and scalable compute patterns.
- Experience with one or more: time-series forecasting, NLP, or experimentation/causal inference.
- Built interactive analytics products end-to-end (Power BI/Tableau dashboards and/or Dash/Streamlit apps).
- Familiarity with workflow automation tooling (e.g., Alteryx) and/or orchestration concepts.
- Demonstrated ability to operate in ambiguity, drive clarity with stakeholders, and deliver measurable impact.
The anticipated base pay for this position is between $25.50/hour and $33/hour, but will be based on candidate’s program year, discipline, degree and/or experience.
This position is overtime eligible.
Co-Ops/Interns may be eligible to participate in Company employee benefit programs such as medical insurance, sick time, and holiday pay in accordance with the terms of the applicable plans.
For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits
Ineligibility for severance.
Required Skills:
Preferred Skills:
Skills Required
- Pursuing a BS/MS in a quantitative discipline (e.g., CS, DS, Statistics, Engineering, Economics/Finance, Operations Research)
- Strong Python proficiency
- Strong SQL skills and comfort with large datasets
- Solid foundations in statistics and machine learning
- Strong communication skills
Johnson & Johnson Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Johnson & Johnson and has not been reviewed or approved by Johnson & Johnson.
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Healthcare Strength — Healthcare coverage is characterized as comprehensive across medical, dental, and vision, with added supports like onsite clinics, fitness centers, and Employee Assistance resources. Mental-health services and wellbeing reimbursements are also described as meaningful components of the overall package.
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Retirement Support — Retirement offerings are portrayed as a major differentiator, combining a 401(k) with employer matching and an employer-funded pension plan. Stock options and other long-term financial supports are also positioned as part of the broader rewards mix.
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Parental & Family Support — Family-related benefits are presented as notably strong, including paid parental leave for all new parents and additional leave types for caregiving and bereavement. Financial assistance for adoption, fertility treatment, and surrogacy is highlighted as a significant support.
Johnson & Johnson Insights
What We Do
Profound Change Requires Boldness. Johnson & Johnson is the largest and most broadly based healthcare company in the world. We’re producing life-changing breakthroughs every day, and have been for the last 130 years. The combination of new technologies and your expertise enables amazing things to happen. Teams from J&J’s consumer business are creating digital tools to help people track the health of their skin. Those working in medical devices are 3-D printing artificial joints personalized for each patient, while researchers in pharmaceuticals use AI to discover lifesaving drugs. Imagine what the rest of our team of 134,000 people at 260 companies in more than 60 countries across the world is accomplishing. We redefine what it means to be a big company in today’s world. Social Media Community Guidelines: http://www.jnj.com/social-media-community-guidelines
