Impact Data Scientist — ML for Good with Flexible Hours

Postcode Loterij; Amsterdam; On-site; EUR 52,000 - 68,000; Full time

Job summary

Postcode Lottery Group is seeking a Data Scientist to build predictive models that shape our marketing and customer strategy, helping our growth and supporting hundreds of charities. You will work end-to-end from data exploration to deployment, collaborating with ML Engineering and Platform teams to improve tools and practices.

A strong emphasis on actionable insights, ownership of models, and data-driven decision making.

Qualifications

• 4–6 years of experience as a Data Scientist.
• Strong foundation in statistical and machine learning techniques, incl. predictive modeling, regression, classification, causal impact and A/B testing.
• Fluent in Python and SQL; experience with Snowflake.
• Experience with MLOps, containerization (Docker), CI/CD, and GitLab/AWS SageMaker.
• Excellent communication and stakeholder management abilities.

Responsibilities

• Apply predictive modeling and advanced statistical techniques to understand customer behavior and guide decisions.
• Own models end-to-end: data exploration (Snowflake) to deployment on AWS SageMaker.
• Ensure automation, testing and reliability; collaborate with GitLab.
• Translate business questions into data science problems and present clear insights to stakeholders.
• Collaborate with ML Engineering and Platform teams to improve tools and practices.

Skills

Python

SQL

Machine learning

MLOps

AWS SageMaker

GitLab

Snowflake

Pandas

Scikit-learn

Statsmodels

A/B testing

Causal inference

Communication

Stakeholder mgmt

Tools

Docker

CI/CD

GitLab

Job description

Postcode Lottery Group is seeking a Data Scientist to build predictive models that shape our marketing and customer strategy, helping our growth and supporting hundreds of charities. You will work end-to-end from data exploration to deployment, collaborating with ML Engineering and Platform teams to improve tools and practices.

A strong emphasis on actionable insights, ownership of models, and data-driven decision making.