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EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than 6,500 people supporting the three main missions of the institutions: education, research and innovation. The EPFL campus offers an exceptional working environment at the heart of a community of more than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries.

Data & Machine Learning Analyst - Executive Education Programs

Role Overview

We are seeking a Data & Machine Learning Analyst to support data-driven optimization of executive education programs. The role focuses on data engineering, database harmonization, and the application of machine learning techniques to improve participant onboarding processes and post-program follow-up.

This position is offered as a 1-year fixed-term contract (CDD).

Key Responsibilities

  • Perform data cleaning, transformation, and integration across multiple structured data sources
  • Design and maintain harmonized databases to ensure data consistency and reliability
  • Develop and apply machine learning models to optimize:
    • Participant onboarding processes
    • Engagement tracking and post-program follow-up
  • Analyze program performance metrics and translate insights into actionable recommendations
  • Collaborate with academic and administrative stakeholders to support data-informed decision-making
  • Create dashboards, reports, and analytical tools for continuous program improvement

Profile

Required Background & Experience

  • 3–5 years of professional experience, preferably in:
    • Supply chain
    • Operations analytics
    • Business analytics or data science
  • Strong understanding of the academic or executive education environment
  • Experience working in business-oriented data and AI projects
  • Familiarity with cross-functional environments involving both technical and non-technical stakeholders

Required Skills

  • Strong programming skills in Python and SQL
  • Solid knowledge of machine learning methods (predictive modeling, optimization, analytics)
  • Understanding of machine learning applications in business contexts
  • Experience with data visualization and BI tools (e.g., Power BI, Tableau, Looker, SAP BI)
  • Proficiency with standard office software (Excel, PowerPoint, Word)

Qualifications

  • Degree in Data Science, Machine Learning, Industrial Engineering, or a related quantitative field
  • Strong analytical mindset with the ability to translate data into business insights
  • Excellent communication skills for presenting findings to academic and executive stakeholders

We offer

  • Good working conditions
  • A multicultural and stimulating environment

 

 

 

Informations

Contract Start Date : As soon as possible 

Activity Rate Min : 100

Activity Rate Max : 100

Contract Type: CDD

Duration: 1 year

 










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