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Data & Machine Learning Analyst - Executive Education Programs

Job in 1001, Lausanne, Canton de Vaud, Switzerland
Listing for: EPFL
Contract position
Listed on 2026-02-08
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Data Science Manager, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 30000 - 80000 CHF Yearly CHF 30000.00 80000.00 YEAR
Job Description & How to Apply Below

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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