Intern Data Science - Future Talent Program
Switzerland - Basel
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Before you apply
- New graduates
- Not stated
- Work authorization
- Not stated
What you’ll work on
Full postingSupport data collection, cleaning, and exploratory data analysis
Build data visualizations and share findings with project stakeholders
Assist with machine learning model development and validation
Document analytical approaches and findings for reproducibility
Contribute to supply chain and manufacturing optimization analytics projects
From the employer’s posting
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.
What you’ll bring
All qualificationsCore experience
- Solid experience applying data science methodologies to solve business problems.
- Hands-on experience in advanced analytics, machine learning, and artificial intelligence.
- Knowledge of data mining, statistical modeling, predictive analytics, and machine learning techniques.
- Understanding of machine learning deployment concepts and software engineering best practices.
- Experience with testing frameworks and analytical libraries.
- Excellent communication skills and ability to present complex concepts clearly.
Preferred experience
- Knowledge of cloud-based data science environments such as AWS or SageMaker is a plus.
Qualification wording
Solid experience applying data science methodologies to solve business problems.
Hands-on experience in advanced analytics, machine learning, and artificial intelligence.
Knowledge of data mining, statistical modeling, predictive analytics, and machine learning techniques.
Understanding of machine learning deployment concepts and software engineering best practices.
Experience with testing frameworks and analytical libraries.
Excellent communication skills and ability to present complex concepts clearly.
Knowledge of cloud-based data science environments such as AWS or SageMaker is a plus.
Tools in this posting
- C
- Java
- Python
- R
- AWS
- SageMaker
- C++
Source — Tool mentions in context
- 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.
About Abbott Laboratories
Abbott is a global healthcare leader that helps people live more fully at all stages of life.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 12, 2026 · 22 days ago
- Recorded sightings
- 66
- Last seen by us
- Nov 3, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
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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.
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 www.abbott.com, Facebook www.facebook.com/Abbott and Twitter @AbbottNews and @AbbottGlobal.
#earlycareersDACH #earlycareers
The base pay for this position is
N/AIn specific locations, the pay range may vary from the range posted.
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
Source details
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- Pay
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- Location & working pattern
Switzerland - Basel
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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