US Advanced Analytics Summer 2026 Intern

About the Role

Key Responsibilities

• Build effective relationships with stakeholders (Commercial and Commercial Brand + Advanced Analytics teams), work collaboratively to prioritize work and deliver on time-sensitive requests.
• Interact and partner with Digital Accelerator, Digital Data Science, Data Management, Market Research, Marketing, Strategy, Finance, and Business Development groups.
• Develop models using key business insights from various markets to support commercial excellence.
• Lead marketing and sales-related problem-solving activities leveraging AI/ML techniques.
• Projects may include marketing mix modeling, ROI analysis, next best action, customer segmentation, patient prediction, and drivers analyses.
• Prepare high-quality, accurate analysis using cutting-edge analytical methods.
• Strategically frame key marketing and sales issues to guide model development and analysis.
• Present model results and implications to commercial stakeholders.
• Gather requirements, analyze data, and generate insights and reports that can be used by the business.

Requirements

• Currently enrolled and pursuing an undergraduate or master's degree in applied quantitative fields such as mathematics, statistics, or computer science, with the expectation of completing the degree by Spring 2028.
• Must be enrolled in school the semester following the internship.
• Able to relocate to the office location and work 40 hours/week, Monday-Friday, for the full duration of the internship.
• Permanently authorized to work in the U.S. and not require sponsorship of an employment visa (e.g., H-1B or green card).
• Experience/coursework in predictive modeling and analytics.
• Strong analytical and quantitative skills with the ability to translate data into actionable insights.
• High proficiency with core data science languages (Python, R, Scala), Snowflake, and familiarity with SQL and NoSQL databases.

Nice to Have

• Experience with supervised learning, unsupervised learning, deep learning, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, and optimization.
• Proficiency in MS Office (Excel, PowerPoint, Word).
• Self-starter, proactive, and able to synthesize complex information into clear insights.

Qualifications

• Enrollment in an undergraduate or master's program in a relevant quantitative field, with expected graduation by Spring 2028.
• Authorization to work in the U.S. without sponsorship.

Benefits & Perks

• Opportunity to work alongside a supportive, future-focused team and contribute to innovative healthcare solutions.
• Opportunities for career growth through promotions or lateral moves, domestically or internationally.
• Exposure to cutting-edge technologies and research methodologies.
• Networking opportunities within Sanofi and the broader biotech community.
• A well-crafted rewards package recognizing your contribution.