Lead Data Scientist with strong Databricks experience required for a secure data programme delivering advanced analytics and machine learning solutions.
You will lead the design and deployment of machine learning models using Databricks, working across data preparation, experimentation and production deployment. The role involves close collaboration with technical teams and senior stakeholders to deliver data-driven outcomes within a secure environment.
This is a hands-on leadership position suited to someone comfortable owning the data science life cycle and influencing project direction.
Key responsibilities
Lead machine learning development using Databricks
Build and deploy models using Python and PySpark
Work with data engineers and platform teams on production data pipelines
Translate business problems into data science solutions
Present insights and outcomes to senior stakeholders
Support best practice in model development and deployment
Required experience
Strong hands-on Databricks experience
Python and PySpark for data science and machine learning
Experience deploying models into production
Strong stakeholder communication skills
Desirable
MLflow or MLOps exposure
Experience working in secure or government environments
Azure or AWS cloud platforms