Back to jobs

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
Apply at Abbott Laboratories

What you’ll work on

Full posting
  • Support 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 qualifications

Core 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.

Complete your application on abbott.wd5.myworkdayjobs.com. The employer’s form will show what is required.

Already applied? Track this application

Job description

View original posting ↗

     

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/A

In 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

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Switzerland - Basel

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.