Intern Data Science

Key information

  • Publication date:15 August 2025
  • Workload:100%
  • Contract type:Permanent position
  • Place of work:Basel

Job summary

Join Abbott's Advanced Analytics Team as a Data Science Intern!

Tasks

  • Explore LLMOps pipelines to reduce latency effectively.
  • Collaborate with experienced data scientists on real challenges.
  • Conduct data exploration and visualization for insightful results.

Skills

  • Master's degree in related fields and relevant project experience.
  • Proficient in Python or R with data science tools familiarity.
  • Strong communication skills and a collaborative mindset.

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

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