Data Scientist Short Term Trading

As a Data Scientist in the Flex Optimization team, you’ll work on data driven solutions that maximize the value of Eneco’s steerable asset portfolio by optimizing their flexibility across short-term power and ancillary markets.

Your work will impact Eneco’s trade result and contributes to a smarter, cleaner energy system. You will build optimization strategies, bidding algorithms and machine learning models that operate in fast-moving, real-time energy markets (such as real time trading applications for battery optimization). You will work side by side with other data scientists and traders to see where data science can add the most value. We aim to have a fast feedback loop of deploying, learning and adjusting, meaning that there is a strong focus on ownership and scalable automation of processes. Deploying your model makes real world impact – often the same day!

You will be working with large and growing datasets, so a continuous effort to improve forecasting, modelling, and decision support tooling is essential to stay ahead. Apart from developing these models you will also play a pivotal role to productionize those in a robust and reliable manner.

•    You have a quantitative MSc or equivalent experience in Computer Science, Mathematics, Statistics, Econometrics or a related quantitative field.
•    You bring around 5 years of hands on experience in data science roles in a business context, with prior experience in (energy) trading being considered a plus.
•    Proficient with optimization techniques such as linear programming.
•    You have experience with building and deploying scalable trading and/or optimization algorithms in the cloud.
•    Strong background in Python development: you know how to write modular and clean code, implement unit tests and proper monitoring.
•    You understand underlying business problems, can distinguish between main and secondary issues and are able to translate these into robust data driven solutions.
•    You have experience with SQL databases, Databricks and streaming data.
•    Proactively initiating improvements and your drive to get things done is key.
•    You do not hesitate to reach out to stakeholders from the business or IT side to make sure you build the best solution possible.
•    You are familiar with - parts of - our tech stack: Azure Cloud, Kubernetes, Databricks, Airflow, Snowflake.

•    Developing and maintaining advanced analytical models for cross-market optimization and bidding strategies. Using machine learning and (non)linear optimization methodologies.
•    Driving automation and scalability, identifying where manual processes can be streamlined and operationalized.
•    Identifying new ways to add value with data science in close collaboration with the traders to deliver integrated, high-impact solutions.

You will work within the Flex Optimization team as part of the value chain Trading & Structuring, right next to Rotterdam-Alexander station. A complex, dynamic environment where moving markets, ever-changing positions, new technologies, and the law of inhibiting head start create a challenging field of tension which requires a lot of initiative and insight. We interact quickly with each other in an informal, transparent and collegial atmosphere. In a rapidly changing energy landscape, you and your team will shape the energy transition. A tough job, with challenging but achievable targets.