Data Scientist

Data Scientist – Zwaagdijk

Information about the organization

Job description

Data Scientist – Zwaagdijk

Short Summary: Are you passionate about transforming large volumes of data into predictive models that directly shape business value?

Practical: Startdatum: 3-8-2026 | End date/periode: 1-2-2027 | Hours p/w: 32,00 | Contract Type: Temporary Staffing| Tarief: € 85,00 - € 95,00 per hour

Are you passionate about transforming large volumes of data into predictive models that directly shape business value? As a Data Scientist, you develop solutions that drive smarter 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.

· Perform preliminary data engineering work by collecting, cleaning, and preparing structured and unstructured data, to enable modelling.

· Build descriptive and diagnostic insights by performing exploratory data analyses.

· Design production ready, integrated data science solutions by collaborating with solution architects.

· Develop or improve these solutions by applying statistical, ML, DL or GenAI techniques where appropriate.

· Productionize data science solutions following MLOps/LLMOps principles. You will deploy the solutions via scheduled workflow jobs, containerized APIs (e.g. Docker), or interactive apps.

· Set up monitoring for accuracy, drift, and system performance.

· Collaborate with Technology and with business teams in Supply Chain, Commerce, Store Operations, and Real Estate to embed solutions into daily operations.

This is what your day could look like

Today is an exciting day, since you have the kickoff of a new project where we want to implement an AI solution into the daily practice of the Commercial Operations team. You will sit together with colleagues from the business, process team, and technology to define the goal, scope and roles and responsibilities. Later that day you will sit together with some peers to discuss the first ideas about the solution design. In the afternoon, you’ve planned some focus time to resolve an issue the process team flagged yesterday in a Data Science product built for the Supply Chain department. It’s a great feeling to fix the bug quickly and submit a pull request to the production branch. Once your code passes all automated CI tests, it is seamlessly deployed to production via our CD pipeline, solving the team's problem and bringing an immediate, positive impact to all 20 warehouses of Action.

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.

Competences

Must-haves

• Master’s degree in Econometrics, Data Science, AI, Operations Research or a similar quantitative field.

• 5+ years of experience as a Data Scientist, preferably in a retail environment.

• Experience with machine learning models (e.g. clustering, regression, time-series, classification)

• Experience working with the modern data platforms, specifically Azure (e.g., workflows, container registries) and Databricks (e.g., MLflow).

• Experience with MLOps practices (e.g, model versioning, monitoring, CI/CD)

• Experience with Python, PySpark and SQL.

• Familiarity of Data Engineering and ML Engineering principles.

Nice-to-haves

• Familiarity with LLM concepts and their practical applications (e.g., RAG, agentic workflows, tool calling, fine-tuning) is a plus.

Solliciteren

1. Kennismaking met Recruitment: Je start met een gesprek met onze recruiter om jouw ervaring, ambities en de match met de vacature te bespreken.

2. Voorstelling bij de opdrachtgever: Na een positieve kennismaking bieden wij jouw profiel aan bij de klant.

3. Intake bij de opdrachtgever: Indien de klant je uitnodigt, vindt de intake plaats. Onze accountmanager is of aanwezig voor de introductie of neemt vooraf contact met je op. Afhankelijk van de opdrachtgever zijn dit één of twee gesprekken, online of op locatie.

4. Afronding en start: Bij een succesvolle match regelen wij de contractuele zaken, zodat je zorgeloos kunt starten in je nieuwe rol.

Contact

Aurelia Bredet

“Talent when you need it” is de juiste specialist, op het juiste moment, bij de juiste opdrachtgever zorgeloos laten werken.