Intern Data Science - Future Talent Program

Thornton Tomasetti; Allschwil; On-site; CHF 20,000 - 33,000; Full time

Benefits offered by this job

Hands-on analytics experience

Exposure to high-impact projects

Collaboration with data scientists

Global environment

Job summary

Abbott in Allschwil, Switzerland is offering a 6-12 month Internship in Data Science within the Advanced Analytics team. You will work on real projects in Supply Chain and Manufacturing analytics, contributing to ongoing digital transformation initiatives.

The role supports a hands-on learning experience with senior data scientists, focusing on data preparation, model development, and solutions that drive measurable business value in a global pharmaceutical setting.

Qualifications

• 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 SageMaker 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.

Responsibilities

• 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.

Skills

Python

R

Data science

Machine learning

Statistics

Cloud AWS

Communication

Education

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

Tools

AWS SageMaker

Jupyter

Git

Job description

JOB DESCRIPTION: About Abbott

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.

The Position For

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.

Key Responsibilities:

• 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.

Required Qualifications:

• 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 SageMaker 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.

Why Join Abbott?

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

This internship offers:

• Hands‑on experience in advanced analytics, machine learning, and artificial intelligence.
• Exposure to high‑impact projects supporting global Supply Chain and Manufacturing functions.
• Collaboration with experienced data scientists and business leaders.
• An opportunity to contribute to Abbott's data‑driven transformation strategy.
• Development of advanced analytical, technical, and business skills in a global environment.
• Exposure to cutting‑edge technologies and real‑world business applications.
• A potential pathway toward future career opportunities within Abbott.

Location: Switzerland > Allschwil : H-127. ADDITIONAL LOCATIONS: WORK SHIFT: Standard TRAVEL: Not specified MEDICAL SURVEILLANCE: Not Applicable SIGNIFICANT WORK ACTIVITIES: Not Applicable

JOB FAMILY: Administrative Support, DIVISION: EPD Established Pharma

The base pay for this position is N/A. In specific locations, the pay range may vary from the range posted.

Abbott is an equal opportunity employer committed to employee diversity and inclusion. We welcome applications from all qualified candidates.

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