About The Position

If you’re looking to grow your network and gain new skills within a global company, an internship with dsm-firmenich could be the program for you. Our summer internships provide students opportunities to work on real business projects and gain invaluable professional experience. As an intern, you’ll have exposure to many different areas of a global flavors, fragrances, and ingredients organization that works with some of the biggest brands in the world, along with opportunities to network with your peers and leadership. From engaging events to mentoring opportunities and valuable resume-building experiences, we’re committed to preparing you for a fulfilling and enduring career, both at dsm-firmenich and beyond. We are currently looking for a Data Science Intern at our Lexington, MA office. The 2026 dsm-firmenich Summer Internship Program will run from June 1, 2026 to August 14, 2026. Join our Data Science and AI team as an intern and gain invaluable professional experience. Enhance your skills and contribute to real projects that have visibility across the business through a Summer internship. Come discover all we have to offer!

Requirements

  • Currently working on completion of a Bachelor’s or Master’s or PhD degree in Data Science, Computer Science, Statistics, Bioinformatics, Physics, Cheminformatics, or a related field
  • Candidates must be available to work full-time on-site beginning on June 1, 2026 to August 14, 2026.
  • Strong coding skills in Python and/or R, SAS, with experience using common data science libraries
  • Excellent communication and interpersonal skills
  • Versatility, flexibility, and a willingness to work within constantly changing priorities with enthusiasm

Nice To Haves

  • Familiarity with cloud platform such as AWS, Azure for data processing or model development
  • Solid understanding of machine learning fundamentals and experience working with real-world datasets is preferred

Responsibilities

  • Preparing AI-ready datasets (e.g. linked molecule data, harmonization of clinical trial related datasets, opportunity to design user-relevant clinical data management processes as part of an expert FAIR data), including feature engineering and data quality checks; conduct analysis, and exploratory research across active projects
  • Train, evaluate, and fine-tune machine learning models under guidance from senior scientists
  • Implement and test ML algorithm or small prototypes to support ongoing research
  • Contribute to model performance reporting, experiment tracking, and clear documentation

Benefits

  • Build Your Future Skills: Gain hands-on experience and develop practical skills that prepare you for a successful career.
  • Expand Your Network: Connect with professionals and peers in a company where sustainability drives every decision and action.
  • Thrive in an Inclusive Culture: Join a community that values and respects every individual—regardless of background, beliefs, or identity.
  • Grow Through Curiosity: Work in an environment that encourages open-mindedness, learning, and collaboration to create a better future together.
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