Intern Data Science - Future Talent Program

15 October 2026
100%
Permanent position
Basel

Job summary

Abbott is a global healthcare leader improving lives through innovative technologies. Join us for a rewarding internship experience in data science.

Tasks

Collaborate with data scientists on business challenges and analytics.
Support data collection, cleaning, and analysis for impactful projects.
Assist in developing machine learning models and documentation.

Skills

Master’s student in relevant fields with data science experience.
Proficient in Python or R, with knowledge of machine learning.
Strong analytical and communication skills for teamwork.

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About the job

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: <ul><li>Collaborate with senior data scientists to understand business challenges and analytical requirements. </li></ul><ul><li>Support data collection, data cleaning, exploratory data analysis, and interpretation of results. </li></ul><ul><li>Generate insightful data visualizations and communicate findings to project stakeholders. </li></ul><ul><li>Assist in machine learning model development workflows, including feature engineering, model selection, and validation activities. </li></ul><ul><li>Document analytical approaches, findings, and processes to enable knowledge sharing and reproducibility. </li></ul><ul><li>Contribute to advanced analytics projects focused on Supply Chain and Manufacturing optimization. </li></ul><ul><li>Stay informed about emerging trends and technologies in data science, machine learning, and artificial intelligence. </li></ul><ul><li>Work collaboratively with business and technical stakeholders to deliver measurable business impact. </li></ul> Required Qualifications: <ul><li>Currently pursuing a Master's degree in Applied Mathematics, Computer Science, Engineering, Applied Statistics, or a related field. </li></ul><ul><li>Solid experience applying data science methodologies to solve business problems. </li></ul><ul><li>Knowledge of data mining, statistical modeling, predictive analytics, and machine learning techniques. </li></ul><ul><li>Programming experience in Python or R; knowledge of object-oriented programming languages such as Java, C++, or C is considered an advantage. </li></ul><ul><li>Understanding of machine learning deployment concepts and software engineering best practices. </li></ul><ul><li>Experience with testing frameworks and analytical libraries. </li></ul><ul><li>Knowledge of cloud-based data science environments such as AWS or SageMaker is a plus. </li></ul><ul><li>Strong analytical thinking, problem-solving skills, and ability to work in international environments. </li></ul><ul><li>Excellent communication skills and ability to present complex concepts clearly. </li></ul><ul><li>Fluent English language skills; additional languages are an advantage. </li></ul> 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: <ul><li>Hands-on experience in advanced analytics, machine learning, and artificial intelligence. </li></ul><ul><li>Exposure to high-impact projects supporting global Supply Chain and Manufacturing functions. </li></ul><ul><li>Collaboration with experienced data scientists and business leaders. </li></ul><ul><li>An opportunity to contribute to Abbott's data-driven transformation strategy. </li></ul><ul><li>Development of advanced analytical, technical, and business skills in a global environment. </li></ul><ul><li>Exposure to cutting-edge technologies and real-world business applications. </li></ul><ul><li>A potential pathway toward future career opportunities within Abbott. </li></ul> Interested in joining us? Apply today and become part of a team that is helping shape the future of healthcare. Abbott is an equal opportunity employer committed to employee diversity and inclusion. We welcome applications from all qualified candidates. Stay connected at <a target="_blank" href="https://www.abbott.com/">www.abbott.com</a>, Facebook <a target="_blank" href="https://www.facebook.com/Abbott">www.facebook.com/Abbott</a> and Twitter <a target="_blank" href="https://twitter.com/AbbottNews">@AbbottNews</a> and <a target="_blank" href="https://twitter.com/AbbottGlobal">@AbbottGlobal</a>. #earlycareersDACH #earlycareers

Intern Data Science - Future Talent Program

Tasks

Skills

About the job

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