The main analytics platform is Azure Databricks, with Power BI used for reporting. Microsoft Fabric is being evaluated for future GenAI and conversational analytics use cases.
In this role, you will:
- Advise on forecasting and data science methods, challenge assumptions and help identify new opportunities.
- Guide the design of business-oriented data tables for conversational analytics and future AI use cases.
- Help assess AI/ML deployment options, including model serving, monitoring and retraining in Databricks, Azure or other suitable environments.
- Advise on designing and maintaining scalable, well-structured analytics solutions in Databricks that can support future AI use cases.
- Support the team through reviews, knowledge sharing and mentoring.
We are looking for someone with:
- Practical experience in data science, forecasting and applied AI, including translating business problems into analytical solutions and deploying them in enterprise environments.
- Strong practical experience with Databricks, Azure and Microsoft Fabric, including AI/ML deployment, MLOps and architecture decisions.
- A mentoring-oriented approach and the confidence to challenge ideas constructively.
Initial allocation: Approximately half a day every two weeks.