Build End-to-End Solutions: Scope, design, train, and deploy production-ready ML models and statistical experiments.
Shape the Platform: Collaborate with Data Engineering and Analytics to build reproducible pipelines and integrate workloads into a Unified, AI-powered analytics platform.
Drive Business Impact: Translate raw, complex transactional data into actionable predictions and partner with cross-functional teams (Product, Marketing, Finance) to unlock competitive advantage.
Ensure Model Excellence: Monitor live model performance, guard against data drift, and champion best practices in MLOps.
Requirements
Proven experience building and iterating on ML models in a commercial setting.
Experience working within cloud or modern data environments (Microsoft Fabric, Azure, or Databricks).
Clear, impactful communication skills to bridge technical models and business outcomes.
This is an exceptional opportunity for a candidate who wishes to help shape DS within an established business that has embraced new data platforms through smart business decisions and a collaborative data function.
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