Design, build and own reusable Python data science packages surfacing novel solutions.
Build processes and tools to support global science methods, including dashboards.
Translate stakeholder requirements into production-ready solutions.
Collaborate across teams and mentor junior engineers to raise capability and impact.

🎯 Requirements

Design and deliver production-grade analytical Python solutions.
Experience with relational databases and SQL-like operations.
ML techniques (regression, clustering, tree ensembles) with Pandas and scikit-learn.
Big data processing experience, ideally with Hadoop/Spark.
Proven CI/CD and DevOps practices to improve deployments and testing.

🎁 Benefits

Flexible working hours.
Your birthday off.
Opportunity to work with cutting-edge technology and global projects.

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