Data Science Intern: ML & Analytics for Healthcare

Thornton Tomasetti; Basel; Remote; CHF 19,000 - 23,000; Full time

Job summary

Abbott in Basel invites a MSc student to join the 6-12 month Internship - Data Science. You will contribute to advanced analytics, ML, and AI within a global pharma context, supporting projects in Supply Chain and Manufacturing.

Under the supervision of experienced data scientists, you will learn deployment concepts, visualize results, and communicate insights to stakeholders. This hands-on role helps translate theory into measurable business impact.

Qualifications

• Pursuing a Master's degree in a quantitative field (e.g., maths, CS, engineering, stats).
• Experience applying data science to business problems.
• Proficiency in Python or R; knowledge of Java/C++ is a plus.
• Strong communication and ability to work in international teams.

Responsibilities

• Collaborate with senior data scientists to translate business challenges into analytic tasks.
• Support data collection, cleaning, EDA, and interpretation of results.
• Develop visualizations and communicate findings to stakeholders.
• Assist in ML model development, feature engineering, validation.
• Document methods and contribute to reproducibility.

Skills

Data science methodologies

Data visualization

Communication

Problem solving

Education

Master's degree in Applied Mathematics, Computer Science, Engineering, Applied Statistics

Tools

Python

R

Java

C++

C

Job description

Abbott in Basel invites a MSc student to join the 6-12 month Internship - Data Science. You will contribute to advanced analytics, ML, and AI within a global pharma context, supporting projects in Supply Chain and Manufacturing.

Under the supervision of experienced data scientists, you will learn deployment concepts, visualize results, and communicate insights to stakeholders. This hands-on role helps translate theory into measurable business impact.