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, Tensor. Flow or Py. Torch Solid statistics: regression and GLMs, time-series forecasting, hypothesis testing, experimental design Model deployment to production on Azure ML, Databricks, AWS Sage.

Maker 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.