Data-related professions are experiencing significant evolution, with both established and emerging roles meeting organisations' growing needs. The Data Science TAF prepares students for three main career families:

Data Science & Machine Learning

These professions, at the heart of digital transformation, combine algorithmic expertise and advanced mathematics to extract value from data:

• Data Scientist: design of advanced algorithms and predictive models
• Machine Learning Engineer: industrialisation of AI models

These roles are complemented by the AI Ethics Specialist, a specialised function that has become essential for ensuring responsible AI development.

Data & Analytics

These professions, focused on decision support and business performance, transform data into strategic information for the enterprise:

• Data Analyst: data exploitation and visualisation for decision support
• Business Intelligence Analyst: creation of dashboards and KPIs
• Decision Support Analyst: decision-making guidance

The Data Storyteller, an emerging role, facilitates the communication of analyses to decision-makers.

Data Engineering & Architecture

These professions enable the creation and maintenance of infrastructures necessary for large-scale data exploitation:

• Data Engineer: creation and maintenance of data infrastructures
• Big Data Architect: design of distributed architectures

These are complemented by cross-functional roles such as Data Quality Analyst and Data Protection Officer, ensuring data quality and compliance.

Positions Held by Our Alumni

Our graduates hold various positions across:

• Major corporations (BNP Paribas, AXA, Orange, Thalès, SNCF, La Poste, EDF, LVMH)
• Consulting firms (WaveStone, BI Consulting, Business & Decision)
• Tech companies and startups (Cityzen Data, Supermood, Deezer, Twitter)

Recruiting sectors span finance, industry, tech, retail, and energy. Salaries range from €35-40k at career start to €70-180k for senior positions, particularly in international roles.