Intern Data Science

Basel

Key information

Publication date:15 August 2025
Workload:100%
Contract type:Unlimited employment
Place of work:Basel

Job summary

Join Abbott's Advanced Analytics team as a Data Science Intern. This role offers a chance to make a real impact in healthcare.

Tasks

Explore ways to optimize LLMOps pipelines and reduce latency.
Research frameworks for automating tasks through collaboration.
Collaborate with senior data scientists on business challenges.

Skills

Currently pursuing a Master's in a relevant field like statistics.
Experience with full-cycle data science projects and real-world applications.
Proficient in Python or R, with knowledge of object-oriented languages.

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Internship Opportunity: Data Science (Advanced Analytics Team)At Abbott, we believe in empowering people to live healthier, fuller lives. With a presence in over 160 countries and a diverse team of 114,000 colleagues, we’re committed to innovation in diagnostics, medical devices, nutrition, and pharmaceuticals.We are looking for a curious, collaborative, and impact-driven Data Science Intern to join our Advanced Analytics team at EPD’s global headquarters in Basel. This is a unique opportunity to contribute to meaningful healthcare solutions while growing your skills in a supportive and inclusive environment.Location: Allschwil-Basel, Switzerland Duration: 6 months Division: Abbott Established Pharmaceutical Division (EPD)Why Join Us?<ul><li>Purpose-Driven Work: Your contributions will help shape data-driven strategies that improve healthcare outcomes globally.</li><li>Inclusive Culture: We value diverse perspectives and foster a culture where everyone—regardless of gender, background, or experience—can thrive.</li><li>Mentorship & Growth: You’ll work closely with experienced data scientists and receive guidance to support your professional development.</li></ul>What You’ll Work On<ul><li>Explore ways to reduce latency in LLMOps pipelines using techniques like model distillation, caching strategies, and prompt engineering.</li><li>Research and propose frameworks for automating repetitive tasks using multi-agent collaboration.</li><li>Collaborate with senior data scientists to understand business challenges across operations, finance, and supply chain.</li><li>Conduct data exploration, cleaning, and visualization to uncover insights.</li><li>Support model development workflows including feature engineering and validation.</li><li>Document findings to promote knowledge sharing and reproducibility.</li><li>Stay curious and continuously learn about emerging technologies in AI and data science.</li></ul>What We’re Looking For<ul><li>Currently pursuing a Master’s degree in a relevant field (e.g., applied mathematics, computer science, engineering, statistics).</li><li>Experience with full-cycle data science projects and applying methods to real-world problems.</li><li>Familiarity with tools like LangChain, Hugging Face, and vector databases.</li><li>Programming skills in Python or R; knowledge of object-oriented languages is a plus.</li><li>Understanding of software engineering principles and testing frameworks.</li><li>Exposure to cloud platforms like AWS/SageMaker is a bonus.</li><li>Strong communication skills and a collaborative mindset.</li><li>Fluency in English; other languages are a plus.</li></ul>We Encourage You to Apply If You:<ul><li>Are passionate about using data to solve meaningful problems.</li><li>Enjoy working in diverse teams and learning from others.</li><li>Want to grow your career in a supportive and innovative environment.</li></ul>Ready to Make an Impact?Send us your CV (PDF format) and show us how your curiosity and skills can help shape the future of healthcare. We look forward to hearing from you!