Impactful Data Scientist - ML, A/B Testing, MLOps

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

Job summary

Postcode Lottery Group is recruiting a Data Scientist to join our Data Science team, building predictive models that shape marketing and customer strategy and support our charity partners. You will own models end-to-end, from data exploration in Snowflake to deployment on AWS SageMaker, and translate complex results into clear, actionable insights for stakeholders.

You’ll collaborate with ML Engineering and Platform teams to continuously improve tools and practices, driving measurable business

Qualifications

• 4-6 years of experience as a Data Scientist with production models.
• Strong foundation in statistical and machine learning techniques for predictive modeling, regression, classification, and causal inference.
• Fluent in Python (Pandas, Scikit-learn, Statsmodels) and proficient in SQL (Snowflake).
• Experience with MLOps, containerizing models with Docker and CI/CD, and hands-on with GitLab/AWS SageMaker.
• Excellent communication and stakeholder management skills.

Responsibilities

• Apply predictive modeling and advanced statistical techniques to understand customer behavior and retention.
• Own models end-to-end from data exploration in Snowflake to deployment on AWS SageMaker.
• Automate, test, and ensure reliability; collaborate with GitLab for CI/CD.
• Translate business questions into data science problems and communicate insights clearly to stakeholders.
• Collaborate with ML Engineering and Platform teams to improve tools and practices.

Skills

Predictive modeling

Statistical methods

ML & A/B testing

Communicating insights

Team collaboration

Tools

Snowflake

SQL

GitLab

Docker

AWS SageMaker

Job description

Postcode Lottery Group is recruiting a Data Scientist to join our Data Science team, building predictive models that shape marketing and customer strategy and support our charity partners. You will own models end-to-end, from data exploration in Snowflake to deployment on AWS SageMaker, and translate complex results into clear, actionable insights for stakeholders.

You’ll collaborate with ML Engineering and Platform teams to continuously improve tools and practices, driving measurable business