Data Scientist Forecasting

As a Data Scientist in the Quant Forecasting Team (Forecast Product Development), you will play a pivotal role in researching and developing forecasting products that meet the needs of our stakeholders, e.g. intraday traders, day-ahead traders. Our forecasting products include proprietary power production forecasting models for wind and solar energy, as well as other tools designed to enhance forecast accuracy and provide deeper insights. Your primary focus will be on analyzing the impact of various weather sources on our portfolio, as well as researching, improving, and building new forecasting products.

You will be in constant contact with stakeholders, updating forecasting products based on portfolio demands, and improving products in terms of reliability, scalability, accuracy, and stakeholder insights. Collaboration with teams such as IT and Operations is essential. Our team aims to provide precise, reliable, and actionable insights that drive our trading strategies and decisions. We believe that by embracing data, analytics, business insights, and AI, we can transform the future of energy trading.

Finally, you will have a direct impact on the energy market and should have a pioneering mindset as a team player. We are searching for a team player who is critical but pragmatic and contributes to a psychologically safe environment. In this pioneering role, you will have ample opportunities to develop yourself both personally and technically.

• Strong background in meteorology and data science.
• A minimum of 3 years of relevant work experience is required.
• Proficiency in Python and relevant data science libraries.
• Enthusiastic about your expertise, eager to develop further in your field and to share your knowledge in our team.
• Commercial drive with the ability to translate this into priorities and action plans.
• Excellent communication skills, creative mindset and a proactive attitude.
• Ability to work effectively in a team and collaborate with other departments.
• Proactive team player with strong active listening skills.
• Experience in a dynamic environment where priorities change based on market conditions or opportunities.
• Knowledge and experience related (or similar) to software engineering or ML engineering is a plus.
  • Relevant concepts include: MLOps, CI/CD, `software` testing
  • Relevant technologies include: Databricks, Airflow, Snowflake, Docker, Azure Cloud
• Knowledge and experience of energy markets is a plus.

• Conduct research on the impact of different weather sources on our portfolio, with an affinity for weather data such as NWP or new AI sources for short-term trading.
• Develop and improve forecasting products based on customer requirements.
• Act as a point of contact and sparring partner within our operations.
• Provide proactive feedback on how to improve our short-term domain with actionable insights and close cooperation with your team members.
• Identify, prioritize, and initiate improvements.
• Maintain a proactive mindset to minimize imbalance and P&L risk.

Working at Eneco means working at a sustainable company where we strive for a new world. A world that is smarter, better, cleaner, more enjoyable, and more liveable. We do this together with more than 3,000 colleagues, following ‘the new way of working’, in a beautiful modern building: Eneco World. Eneco World is easily accessible: just a two-minute walk from Rotterdam Alexander metro and train station.

The Quant Forecasting Team (Forecast Product Development) is part of the Short Term Trade Desk  of Eneco Energy Trade (EET). With a diverse team of motivated and highly educated employees, we work towards an optimal market vision that supports Eneco’s sustainability goals. EET provides a dynamic and complex working environment that requires a lot of initiative and insight. We communicate quickly with each other in an informal, transparent, and collegial atmosphere.