[Hiring] Data Science Intern @Johnson & Johnson Innovative Medicine

Role Description

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

• 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.
• 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.
• 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.
• Governance & Operational Excellence (5%)
  • Support documentation, model/run governance, and operational performance tracking for deployed solutions.
• Team & Development (5%)
  • Provide concise status updates, participate in team ceremonies, and actively learn the team’s standards and tooling.

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.

Requirements

• Candidates must be pursuing an undergraduate or Fifth Year Master’s degree in Data/Computer Science, Engineering, Data Analytics, or like majors with an expected graduation date between December 2026 - May 2028.
• An equivalent cumulative GPA of 3.0 or higher.
• Leadership experience is preferred.
• Some knowledge of 1 programming language (Python, R), Tableau/PowerBI, cloud platforms like AWS or Azure, and MS Excel is preferred.
• Authorization to work in the United States on a permanent, full-time basis is required.
• Ability to temporarily relocate to a different state within the United States for rotational assignment is required.

Benefits

• 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.