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Data Scientist (m/f/d) (LSW) - BS  

Site

Switzerland, Basel-Stadt, Basel

Sector:

Engineering

Role:

Research and Development

Date of last update: 27/02/2026

activities 

Job description

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MANPOWER AG ? Your Career, Our Focus!

Become part of our network and take advantage of countless opportunities!
ManpowerGroup is the leading global company for staffing solutions.
With our three brands ? Manpower, Experis, and Talent Solutions ? we assist companies across various industries with their recruitment needs. For 75 years, we've operated in over 75 countries, and throughout Switzerland, we support our clients in successfully completing their tasks and projects.

We are looking for a Data Scientist (m/f/d) (LSW) - BS
 


Location: Basel | Workload: 100% | Start: asap (latest 1st April 2026) | Duration: 12 months | Home office: 50% | 


Background

Roche is seeking a skilled and proactive Temporary R&D Data Scientist to cover a maternity leave. In this position, you will maintain and further develop the internal data integration platform, support ongoing AI/ML model development, and ensure the seamless continuation of all R&D data workflows.

We are looking for someone who can quickly get up to speed on complex topics, take ownership, and contribute effectively from day one.


The Ideal Candidate

The ideal candidate brings 3?5 years of industry experience and combines strengths in data science, data engineering, and machine learning. You are highly proficient in Python and SQL, familiar with ETL concepts, and committed to high-quality documentation and FAIR data principles.


Tasks & Responsibilities

  • Maintain and troubleshoot existing data integration and ETL pipelines
  • Support AI/ML model training, validation, and optimization
  • Conduct data analyses, generate insights, and prepare clear research reports
  • Troubleshoot technical issues related to data access, software constraints, or model behavior
  • Ensure smooth project continuity throughout the contract period
  • Document all processes and system modifications in a structured and transparent manner

Must Haves

  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field
  • 3?5+ years of hands-on experience in Data Science or Data Analytics
  • Strong proficiency in Python (Pandas, NumPy, Scikit-learn)
  • Experience with SQL and relational database environments
  • Familiarity with ETL concepts and pipeline management
  • Foundational understanding of machine learning models
  • Strong problem-solving skills and ability to work independently
  • Excellent communication and collaboration skills
  • Knowledge of FAIR data principles
  • Experience with image analysis techniques

Next Steps

  • Interview process:
    ? 1st interview: Remote screening
    ? 2nd interview: Onsite
  • Important: The job posting will be halted on 05 March 2026 at 14:40.


Are you feeling unsatisfied, underchallenged, or simply ready to discover something new?

What are you waiting for? Apply now, unlock your potential, and strive for greater job satisfaction.
With my expertise, I am here to support you throughout the entire application process.

I look forward to meeting you and hearing your story!

MANPOWER AG ? Together, we shape your future!


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