Summer 2026 Internship: Data Science - San Diego, CA at DSM

San Diego, California, United States -

Full Time

Start Date

Immediate

Expiry Date

08 Apr, 26

Salary

26.0

Posted On

08 Jan, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Python, R, SAS, Data Processing, Model Development, Feature Engineering, Data Quality Checks, Exploratory Research, Communication Skills, Interpersonal Skills, Flexibility, Adaptability, Curiosity, Collaboration

Industry

Chemical Manufacturing

Description

Summer 2026 Internship: Data Science Location: San Diego, CA, US 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 San Diego, CA office. The 2026 dsm-firmenich Summer Internship Program will run from June 1, 2026 to August 14, 2026. Working Hours: Monday - Friday, 8:00am - 5:00pm 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! Your key 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 We bring 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. You Bring 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; 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 Excellent communication and interpersonal skills Versatility, flexibility, and a willingness to work within constantly changing priorities with enthusiasm The hourly rate for this position is $23.00 - $26.00 per hour. Compensation will be dependent on factors that include location, education, training, specific skills, and years of experience. About dsm-firmenich: At dsm-firmenich, we don't just meet expectations - we go beyond them. Join our global team powered by science, creativity, and a shared purpose: to bring progress to life. From elevating health to making fortified food and sustainable skincare, the impact of your work here will be felt by millions - every single day. Whether it's fragrance that helps you focus, alternative meat that's better for the planet, or reducing sugar without losing flavor, this is where you help shape the future of nutrition, health, and beauty for everyone, everywhere. And while you're making a difference, we'll make sure you're growing too. With learning that never stops, a culture that lifts you up and the freedom to move across businesses, teams, and borders. Your voice matters here. And your ideas? They're essential to our future. Because real progress only happens when we go beyond, together. Inclusion, belonging and equal opportunity statement: At dsm-firmenich, we believe being a force for good starts with the way we treat each other. When people feel supported, included, and free to be themselves, they do their best work - and that's exactly the kind of culture we're building. A place where opportunity is truly equal, authenticity is celebrated, and everyone has the chance to grow, contribute, and feel they belong. We're proud to be an equal opportunity employer, and we're serious about making our hiring process as fair and inclusive as possible. From inclusive language and diverse interview panels to thoughtful sourcing, we're committed to reflecting the world we serve. We welcome candidates from all backgrounds — no matter your gender, ethnicity, sexual orientation, or anything else that makes you, you. And if you have a disability or need any support through the application process, we're here to help - just let us know what you need, and we'll do everything we can to make it work. Agency statement: We're managing this search directly at dsm-firmenich. If you're applying as an individual, we'd love to hear from you. We're not accepting agency submissions or proposals involving fees or commissions for this role.

Responsibilities

Interns will prepare AI-ready datasets, conduct analysis, and train machine learning models under guidance. They will also contribute to model performance reporting and documentation.