Data Scientist - Forecasting

Data Scientist – Forecasting

Are you passionate about transforming large volumes of data into predictive models that directly shape business decisions? As a Data Scientist – Forecasting, you develop advanced predictive models that drive smarter business decisions, operational excellence, and measurable impact across one of Europe’s fastest‑growing retailers. In this role, you help teams embrace data‑driven decision‑making and deliver solutions that positively impact daily operations.

What will you do?

• Translate business questions into testable analytical objectives.
• Collect, clean, and prepare structured and unstructured data for modelling.
• Perform exploratory analyses, build descriptive and diagnostic insights.
• Design robust experiments including A/B tests, holdout strategies, and cross validation.
• Develop or improve forecasting models, applying statistical, machine learning, or deep learning techniques where required.
• Deploy and integrate models into production following MLops principles.
• Set up monitoring for accuracy, drift, and system performance
• Collaborate with Technology and with business teams in Supply Chain and Commerce, to embed solutions in the daily operation.

This is what your day could look like

You start your morning by checking the performance dashboards of the demand forecast, especially since you deployed an improvement recently. You notice a subtle drift and investigate the root cause. Too bad the improvement didn’t work, but no worries, you already had an alternative plan in mind. In the afternoon, you have a meeting with some business stakeholders and tell them the bad and the good news. After everybody agrees with your plan, you start directly, because it requires you to engineer some features from a newly ingested data source in our data lake. This will keep you busy for the next few days, which will be challenging, but fun.

What we offer

• A dynamic, international and fast-growing retail environment.
• Competitive salary and secondary benefits.
• 24 vacation days (full time).
• Travel reimbursement and pension plan.
• Extensive learning and development opportunities.
• Modern data stack including Azure and Databricks
• A culture focused on collaboration, ownership and continuous improvement.

Who are you?

You are an enthusiastic and proactive Data Scientist who enjoys working end‑to‑end: from scoping and data exploration to modelling, deploying and monitoring. You communicate clearly with technical and non‑technical colleagues and enjoy building solutions that improve forecasting accuracy, optimize operations and support strategic decisions.

Requirements

• Master’s degree in Econometrics, Data Science, AI, Operations Research or a similar quantitative field.
• 5+ years of experience as a Data Scientist.
• Experience with (Demand) Forecasting in a retail environment.
• Experience with machine learning models (e.g. clustering, regression, time-series, classification).
• Experience with Python, PySpark and SQL.
• Experience working with Azure (e.g. workflows, container registries, MLflow).
• Experience with Databricks following MLOps principles.

Meet your team

You will join the central Data Analytics team. Besides working closely with your fellow Data Scientists, and Data Analysts, you also work closely with the Planning department, the Process team and Technology. You report to the Manager Data Science & Analytics, who supports innovation and personal development.

Are you interested?

We warmly invite anyone who recognizes themselves in this vacancy to apply. To get to know us better, we recommend exploring our website to learn more about Action. You can also read our latest Annual Update to see how we work every week to offer good quality products at the lowest prices to millions of customers, while making a positive impact on society and the environment.  

What happens after you apply?  

1. Response to your application within 14 days (and usually earlier) 
2. First meeting with the manager and a colleague 
3. Online assessment to get to know you better 
4. Second interview with your recruiter, among others 
5. If there's a match, welcome aboard as our new Data Scientist  

Throughout the entire process, your recruiter will be your main point of contact and 
available to answer all your questions.