Data Scientist Short Term Trading

Details

We are looking for a Data Scientist to join the Flex Optimization team and work on data-driven solutions that maximize the value of Eneco’s steerable asset portfolio by optimizing flexibility across short-term power and ancillary markets. You will build bidding algorithms, optimization strategies and machine learning models that operate in fast-moving, real-time energy markets and productionize them robustly so they make real-world impact—often the same day.

Responsibilities

• Develop and maintain advanced analytical models for cross-market optimization and bidding strategies using machine learning and (non)linear optimization methodologies.
• Build optimization strategies, bidding algorithms and machine learning models for fast-moving, real-time energy markets (for example, real-time trading applications for battery optimization).
• Drive automation and scalability: identify manual processes that can be streamlined and operationalized with a focus on robust production deployments.
• Collaborate closely with traders, forecasting, IT and operations to translate business problems into data-driven solutions and ensure fast feedback loops (deploy, learn, adjust).
• Work with large and growing datasets to continuously improve forecasting, modelling and decision support tooling.
• Ensure deployed models are productionized with appropriate testing, monitoring and reliability measures.

Requirements

• Quantitative MSc or equivalent experience in Computer Science, Mathematics, Statistics, Econometrics or a related quantitative field.
• Around 5 years of hands-on experience in data science roles in a business context (3–5 years and >5 years experience bands mentioned); prior experience in (energy) trading is a plus.
• Strong background in Python development: ability to write modular, clean code, implement unit tests and set up proper monitoring.
• Proficient with optimization techniques such as linear programming and other (non)linear optimization approaches.
• Experience building and deploying scalable trading and/or optimization algorithms in the cloud.
• Experience with SQL databases, Databricks and streaming data technologies.
• Familiarity with parts of the tech stack: Azure Cloud, Kubernetes, Databricks, Airflow, Snowflake.
• Ability to understand business problems, distinguish main from secondary issues and translate them into robust data-driven solutions.
• Proactive attitude, initiative to drive improvements and effective stakeholder communication with business and IT teams.

Benefits

• Gross annual salary between €86.000 and €128.000 (including FlexBudget, 8% holiday allowance, and depending on role a bonus or collective profit sharing).
• FlexBudget (can be paid out, used to buy extra holiday days, or saved).
• Personal and professional development support.
• Hybrid working: 40% at the office (Rotterdam), 40% from home, 20% flexibly; with manager approval, up to 3 weeks/year working abroad (within approved countries), max 2 consecutive weeks.
• Work in an international trading division contributing to the energy transition and grid stability, in an informal and collegial environment near Rotterdam-Alexander station.

Additional information

• The role is part of the Flex Optimization team within Trading & Structuring.
• The work has direct impact on trade results and the sustainability of the energy system.
• Application contact: Randolph Mackay (Senior Recruiter for the Trade Community).