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Cambridge, MA

Internship

Onsite

$36/hr - $47/hr

Intern

Sanofi is hiring a 2027 Summer Intern for its US Advanced Analytics team. The intern will develop a proof-of-concept model for a prioritized business use case, create data visualizations, and interpret model outputs to communicate findings that support commercial business decisions.

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Responsibilities

Build effective relationship with stakeholders (Commercial and Commercial Brand + Advanced Analytics teams), work collaboratively to prioritize work and deliver on time-sensitive requests
Interact/partner with Digital Accelerator, Digital Data Science, Data Management, Market Research, Marketing, Strategy, Finance and BD groups
Collaborate with extended US Advanced Analytics team
Develop model using key business insights from various market 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
Strategic thinking – frame the key marketing and sales issues to guide model development and analysis
Communication – present model results and implications to commercial stakeholders
Results Orientation - Ability to work cross-functionally, gather requirements, analyze data, and generate insights and reports that can be used by the business

Qualification

Required

Currently pursuing an undergraduate or masters' degree in applied quantitative field, such as mathematics, statistics, computer science with plans to graduate by Spring 2028 or 2029
Must be permanently authorized to work in the U.S. and not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future. Students currently on CPT, OPT, or STEM OPT usually require future sponsorship for long term employment and do not meet the Internal requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship
Must be enrolled in an accredited college or university throughout the duration of the co-op/internship

Preferred

Experience/coursework in predictive modelling and analytics
Strong analytical acumen and quantitative skills with a demonstrated ability to translate information and data into actionable insights and strategic recommendations
High proficiency with core data science languages (Python, R, Scala), Snowflake, and familiarity with different data-base systems (e.g. SQL, NoSQL)
Experience with the following modelling areas: supervised learning, unsupervised learning, deep learning, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, optimization
High proficiency in MS Office (Excel, PowerPoint, Word)
Self-starter, proactive in nature, and actively participates
Ability to synthesize complex information into clear and actionable insights