Data Scientist

What You\'ll Do

• 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.
• Expert-level Python skills (pandas, NumPy, scikit-learn, etc.) and strong statistical grounding.
• 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.