Intern Data Science - Talent Program

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutrition, and branded generic medicines. Through our innovative solutions, we are committed to improving the health and well‑being of people around the world.

Our Established Pharmaceuticals Business (EPD) based in Allschwil, Switzerland, we are seeking a highly motivated candidate for an Internship - Data Science. This 6-12 month internship offers a unique opportunity to contribute to Abbott's digital transformation journey and gain hands‑on experience in advanced analytics, machine learning, and artificial intelligence within a global pharmaceutical organization. The central Advanced Analytics team at EPD's headquarters in Basel helps define and lead the transformation toward becoming a global, data‑driven organization through the use of advanced technologies including Machine Learning, Deep Learning, Generative AI, and Computer Vision.

The team works closely with the EPD Senior Leadership Team and plays a key role in driving sustainable business growth and operational excellence. Reporting to the Senior Manager Data Science Solutions, you will support projects in the areas of Supply Chain and Optimized Manufacturing while working alongside experienced data scientists to develop innovative analytics solutions that generate measurable business value.

• Collaborate with senior data scientists to understand business challenges and analytical requirements.
• Support data collection, data cleaning, exploratory data analysis, and interpretation of results.
• Generate insightful data visualizations and communicate findings to project stakeholders.
• Assist in machine learning model development workflows, including feature engineering, model selection, and validation activities.
• Document analytical approaches, findings, and processes to enable knowledge sharing and reproducibility.
• Contribute to advanced analytics projects focused on Supply Chain and Manufacturing optimization.
• Stay informed about emerging trends and technologies in data science, machine learning, and artificial intelligence.
• Work collaboratively with business and technical stakeholders to deliver measurable business impact.

• Currently pursuing a Master's degree in Applied Mathematics, Computer Science, Engineering, Applied Statistics, or a related field.
• Solid experience applying data science methodologies to solve business problems.
• Knowledge of data mining, statistical modeling, predictive analytics, and machine learning techniques.
• Programming experience in Python or R; knowledge of object-oriented programming languages such as Java, C++, or C is considered an advantage.
• Understanding of machine learning deployment concepts and software engineering best practices.
• Experience with testing frameworks and analytical libraries.
• Knowledge of cloud-based data science environments such as AWS or Sage Maker is a plus.
• Strong analytical thinking, problem‑solving skills, and ability to work in international environments.
• Excellent communication skills and ability to present complex concepts clearly.
• Fluent English language skills; additional languages are an advantage.

At Abbott, you can build a meaningful career while contributing to innovative healthcare solutions that improve lives around the world.

• Hands‑on experience in advanced analytics, machine learning, and artificial intelligence.
• Exposure to high‑impact projects supporting global Supply Chain and Manufacturing functions.
• Collaboratio…