Short Term Forecasting Data Scientist

at Eneco

EUR 88,000-125,000 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

Airflow @ 4 Automated Testing @ 4 Azure @ 4 Azure DevOps CI/CD @ 4 Data Science @ 6 Databricks @ 4 DevOps @ 4 Git @ 4 MLOps @ 4 Machine Learning @ 4 Python @ 7 SQL @ 7 Snowflake @ 4

Details

As a Short Term Forecasting Data Scientist, you combine hands-on operational work with the development of forecasting products that support short-term energy trading. You monitor forecast performance, investigate irregularities and incidents, support traders, and improve forecasting models, monitoring, and processes.

Responsibilities

Monitor forecast results and identify irregularities, outliers, and performance issues.
Support day traders by answering questions about forecasts, positions, and monitoring results.
Investigate and resolve incidents involving models, systems, forecasts, or data flows.
Develop, improve, and validate forecasting models for renewable production and energy consumption.
Develop monitoring and reporting products that support Eneco's trading teams.
Work with the Forecast Product Development team to turn operational insights into structural improvements.
Design, validate, operationalise, and improve forecasting products for wind and solar production and for power, gas, and heat consumption.
Contribute within a DevOps environment using Databricks, Python, SQL, Azure DevOps, and CI/CD.
Communicate clearly with technical and non-technical colleagues and help restore reliable services during incidents.

Requirements

A quantitative MSc degree.
At least 4 years of relevant experience in data science.
Strong Python and SQL skills.
An analytical and critical mindset combined with a hands-on approach.
Ability to initiate improvements and work effectively with traders and other teams.
Attention to detail and a focus on robust, maintainable solutions.
Flexibility in an environment where priorities can change with market conditions and business opportunities.
Interest in applying data science in a dynamic operational environment and understanding how models perform in practice.

Experience with energy markets, trading, software engineering, or machine learning engineering is advantageous. Knowledge of DevOps, CI/CD, automated testing, MLOps, Git, Databricks, Airflow, Snowflake, or Azure Cloud is also welcome.

Team and Work Environment

You will join the Forecasting Analysis & Execution team within the Short-Term Desk at Eneco Energy Trade. The team develops continuously updated forecasts for energy demand and renewable energy production, which directly support short-term trading decisions. The role combines operational responsibilities with long-term strategic development projects and involves close collaboration with traders in a fast-feedback environment.

Benefits

Gross annual salary between €88,000 and €125,000.
Salary includes FlexBudget and 8% holiday allowance, with a possible bonus or collective profit sharing depending on the role.
FlexBudget can be paid out, used to purchase additional holiday days, or saved.
Opportunities for professional development.
Flexible working hours and the option to work from home when the role allows it.
A role contributing to the climate and energy transition.
An open, safe, and inclusive working environment with attention to work-life balance.