Data Scientist (MLOps)- part-time job

For our client, we are looking for an experienced Data Scientist to join an IT Retail team and support a key area covering AI technology, infrastructure, and forecasting models. This role is ideal for someone who combines a strong data science background with hands-on experience in MLOps, forecasting, and Azure-based environments, and who is comfortable working in a collaborative, business-facing setup. Project details • Start: ASAP • Duration: until April 2027+ extension • Allocation: 50%, with the possibility to scale up • Context: maternity cover for a senior Data Scientist, with handover planned before mid-July Responsibilities: • Drive and support MLOps initiatives within the team. • Develop, implement, and improve forecasting models. • Manage and work with Azure Infrastructure supporting data science operations. • Contribute to the development of Databricks Apps (Streamlit). • Work with Databricks Asset Bundles where relevant. • Ensure smooth knowledge transfer and continuity during the maternity coverage period. • Collaborate with stakeholders and the wider team to support ongoing AI and modelling initiatives. Key Requirements: • Proven hands-on experience in MLOps. • Strong mathematical background, especially in forecasting. • Solid experience with Azure Infrastructure. • Familiarity with Databricks Apps / Streamlit. • Knowledge of Databricks Asset Bundles. • Ability to work independently and take ownership of the area. Nice to have: • Experience with advanced machine learning techniques. • Familiarity with additional data science tools, frameworks, and modern AI ecosystems.