Data Scientist – Energy optimization

At Darwin Partners, we do more than recruit: we support each consultant throughout their professional journey by offering assignments aligned with their career goals.

With a dynamic, impact-driven culture, we connect top IT talent with ambitious projects while building genuine, people-focused relationships.

Our commitment?

Regular follow-ups, active listening and genuine support throughout your journey.

Our promise?

Rewarding projects, real flexibility and compensation that reflects your expertise.

Within the Renewable trading team , you will work on a cloud-based solutions to optimize BESS and other power generation assets across European electricity markets.

Responsibilities

• Design optimization algorithms for BESS, CCGTs and renewable assets.
• Model BESS constraints: charge/discharge cycles, efficiency, capacity, degradation and availability.
• Optimize assets scheduling, considering ramp-up/ramp-down constraints, start-up costs, fuel prices and operational limitations.
• Develop bidding strategies for short-term power and ancillary services markets, including FCR, aFRR and mFRR.
• Simulate and backtest multi-asset portfolios to assess performance and profitability.
• Build forecasting models for power prices, renewable generation and consumption.
• Develop production-ready optimization tools and decision-support applications.
• Work closely with traders, operators and business teams to translate operational needs into scalable solutions.

The profile we are looking for

• Strong experience in data science, mathematical optimization or operations research.
• Advanced Python skills and experience with optimization libraries or solvers
• Experience in energy management / asset optimization
• Good understanding of European power markets
• Appreciated : experience with AWS, production-grade software development, testing and CI/CD.
• Fluent English and good level of French

Practical information

Location: Paris, with occasional travel to Amsterdam

Remote work: 2 days per week

Contract: Permanent employment or freelance

Start date: As soon as possible