5+ years of experience working as a Data Scientist, Machine Learning Engineer, Applied Scientist, or similar role.
Proven experience delivering machine learning and analytical solutions from discovery through to deployment and business impact.
Advanced proficiency in Python and relevant data science libraries, including NumPy, PySpark, Scikit-learn, TensorFlow, and/or PyTorch.
Strong experience using Databricks, including Jobs, Asset Bundles, Delta Lake, and MLflow.
Experience working with business stakeholders to define problems, scope solutions, and communicate outcomes effectively.
Experience mentoring data scientists or providing technical leadership within a cross-functional team.
Bachelor's degree or higher in Statistics, Mathematics, Computer Science, Data Science, Engineering, or a related quantitative discipline.

Strong statistical, analytical, and problem-solving skills, with the ability to turn complex data into actionable business insights.
Expertise in machine learning and predictive modelling, with experience delivering solutions in a production environment.
Ability to evaluate and refine models using appropriate experimentation, performance metrics, and business outcomes.
Strong stakeholder management and communication skills, capable of translating technical concepts for non-technical audiences.
Ability to operate independently, navigate ambiguity, and prioritise work to maximise business impact.
Experience mentoring and supporting the development of other data scientists.
Collaborative mindset with the ability to work effectively across Product, Engineering, Commercial, and Data teams.

Senior Data Scientist (f/m/d)

Summary