Data Science Intern: AI & Analytics for Supply Chain

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

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.