Cadre etudes (data scientist) F/H

Enedis

Enedis, a key player in managing modern energy distribution, is expanding its team to address contemporary energy challenges. The role exists to optimize the electricity distribution network through precise data handling and predictive modelling. Situated within the Electricity Balance and Forecasting Department, this position is pivotal in supporting energy sector decision-making.

In this role you can expect to have the responsibilities:

• Perform statistical analysis of electricity consumption, production, and losses.
• Develop and implement machine learning models for forecasting.
• Produce strategic reports for both internal and external stakeholders.
• Work on integrating predictive models with IT systems in collaboration with the IT department.
• Advance continuous learning through research and collaboration.
• Enhance team methodologies and ensure rigorous version control.
• Stay updated on energy market trends to anticipate new impacts.

This role comes with the following benefits:

• Individual performance bonuses.
• 13-month salary structure.
• Flexible work schedules with teleworking options.
• Access to a time-saving account.
• Comprehensive protection and social benefits package.
• Discounts on energy consumption.
• Career development and mobility opportunities in the energy sector.

This role requires you to have:

• Experience in data science applied to business challenges.
• Proficiency in time series analysis and predictive modelling.
• Experience with Python and/or R.
• Strong analytical thinking and ability to manage complex data.

You would benefit from having:

• Interest in energy systems and energy transition issues.
• Adaptability, innovation, and capacity for proactive solutions.
• Strong team collaboration skills.

The role offers a modern and flexible work environment with state-of-the-art facilities, including a gym and concierge services, located conveniently near public transportation.