Data Scientist

Our client, a leading financial services and insurance group, is looking for a Data Scientist to apply advanced analytics, statistical modelling and machine learning to finance and actuarial data. Reporting to the Head: Centre IT, you will turn business questions into analytical problems, build and productionise models, and translate results into insight that shapes decision-making across the finance operating model, from forecasting and cost analytics to anomaly detection, automation and reporting intelligence.

Key focus areas: problem framing and exploratory analysis, model development and MLOps deployment, analytical data products, visualisation and stakeholder storytelling, and model risk, ethics and governance.

Requirements

• 6+ years in data science, advanced analytics or quantitative modelling, with 3+ years in insurance or financial services

• Advanced Python and/or R, plus strong SQL for large-scale data manipulation

• Practical ML experience with scikit-learn, XGBoost, TensorFlow or PyTorch

• Solid statistics: regression and GLMs, time-series forecasting, hypothesis testing, experimental design

• Model deployment to production on Azure ML, Databricks, AWS SageMaker or equivalent, with MLOps tooling

• Strong grasp of finance data flows, transformation and cleansing; Informatica or comparable ETL

• Familiarity with Data Mesh, MDM and finance data lakes/warehouses

• Visualisation and storytelling in Power BI, Tableau or equivalent

• Understanding of finance and actuarial data, accounting principles and reporting standards

• Git, Jira; Agile and Waterfall

Benefits

Market related salary.