Intern Data Science - Future Talent Program

Abbott; Schweiz; On-site; CHF 20,000 - 27,000; Full time

Job summary

Abbott is seeking an Internship - Data Science in Allschwil, Switzerland, to contribute to the Advanced Analytics team within the Established Pharmaceuticals Business (EPD). The role focuses on data science, ML, and AI to optimize Supply Chain and Manufacturing, under guidance from senior data scientists.

Gain hands-on experience with modern analytics tools in a global pharmaceutical setting, collaborating with business and technical stakeholders to drive measurable value.

Qualifications

• Pursuing a Master's degree in a quantitative field.
• Solid experience applying data science methodologies to business problems.
• Knowledge of data mining, statistical modeling, predictive analytics, and ML techniques.
• Programming in Python or R; basic Java/C++ is a plus.
• Familiarity with ML deployment concepts and software engineering best practices.
• Experience with testing frameworks and analytical libraries.
• Knowledge of cloud-based DS environments like AWS or SageMaker is a plus.
• Strong analytical thinking and communication in international settings.
• Fluent English; additional languages are an advantage.

Responsibilities

• Collaborate with senior data scientists to understand analytics requirements.
• Support data collection, cleaning, EDA, and interpretation of results.
• Generate insightful data visualizations and communicate findings to stakeholders.
• Assist in ML model development workflows, including feature engineering and validation.
• Document analytical approaches and findings for knowledge sharing.
• Contribute to projects focused on Supply Chain and Manufacturing optimization.
• Stay informed on trends in data science, ML, and AI.
• Work with stakeholders to deliver measurable business impact.

Skills

Data science

Python

Statistics

Machine Learning

Data Visualization

Communication

Education

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

Tools

AWS

SageMaker

Git

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.

• 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.

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

Stay connected at www.abbott.com , Facebook www.facebook.com/Abbott and Twitter @AbbottNews and @AbbottGlobal .

JOB FAMILY: Administrative Support

DIVISION: EPD Established Pharma

LOCATION: Switzerland > Allschwil : H-127

ADDITIONAL LOCATIONS:

WORK SHIFT: Standard

TRAVEL: Not specified

MEDICAL SURVEILLANCE: Not Applicable

SIGNIFICANT WORK ACTIVITIES: Not Applicable

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