Data Scientist

Action

Data Scientist at Action developing solutions that drive smarter decisions and operational excellence across retail. Collaborating with teams to embed data-driven solutions into daily operations.

Posted 7/24/2026full-time🇳🇱 NetherlandsMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data science methodologies, including machine learning and deep learning, with a strong foundation in Python, PySpark, and SQL. Capable of translating business needs into analytical solutions while collaborating effectively with cross-functional teams in a retail environment.

Highest-signal resume keywords

Master’s Degree in Econometrics5+ Years of Experience as a Data ScientistMachine Learning Model DevelopmentMLOps PracticesExperience with Azure and Databricks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningDeep LearningStatistical MethodsData AnalysisPythonPySparkSQLMLOpsData EngineeringML Engineering

Tools & Technologies

AzureDatabricksMLflow

Industry Keywords

Retail EnvironmentExploratory Data AnalysisContainerised APIsScheduled Workflow JobsMonitoring and Performance

Tech Stack

Tools & technologies

AzurePySparkPythonSQL

About the role

Key responsibilities & impact

Translate business questions into testable analytical objectives
Collect, clean, and prepare structured and unstructured data to enable modelling
Build descriptive and diagnostic insights through exploratory data analysis
Design production-ready, integrated data science solutions together with solution architects
Develop and improve solutions using statistical methods, machine learning, deep learning or GenAI when appropriate
Productionise solutions following MLOps/LLMOps principles (scheduled workflow jobs, containerised APIs or interactive apps)
Set up monitoring for accuracy, drift, and system performance
Collaborate with Technology and business teams (Supply Chain, Commerce, Store Operations and Real Estate) to embed solutions into daily operations

Requirements

What you’ll need

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 with 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)
Strong Python, PySpark and SQL skills
Familiarity with Data Engineering and ML Engineering principles
Familiarity with LLM concepts and practical applications (e.g. RAG, agentic workflows, tool calling, fine-tuning) is a plus

Benefits

Comp & perks

A market-based salary based on a 38-hour work week
24 days of holiday and the option to buy 5 extra days (based on 38 hours per week)
An annual bonus between 10 and 20% based on company and personal performance
Flexible working hours and the possibility of working up to 40% from home (in coordination with your team and manager)
15% staff discount on your purchases at Action
A good pension scheme, collective health insurance and travel expenses allowance
A culture focused on collaboration, ownership and continuous improvement