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
Benefits
Skills Required
- 6+ years of experience in data science, advanced analytics, or quantitative modelling
- 3+ years of experience in insurance or financial services
- Advanced Python and/or R
- Strong SQL for large-scale data manipulation
- Practical machine learning experience with scikit-learn, XGBoost, TensorFlow, or PyTorch
- Knowledge of regression, generalized linear models, time-series forecasting, hypothesis testing, and experimental design
- Production model deployment using Azure ML, Databricks, AWS SageMaker, or equivalent
- Experience with MLOps tooling
- Understanding of finance data flows, transformation, and cleansing
- Experience with Informatica or comparable ETL tools
- Familiarity with Data Mesh, MDM, and finance data lakes or warehouses
- Visualization and storytelling experience using Power BI, Tableau, or equivalent
- Understanding of finance and actuarial data, accounting principles, and reporting standards
- Experience with Git and Jira
- Experience working with Agile and Waterfall methodologies
What We Do
Centrax Digital is a technology consulting and digital engineering firm that delivers AI consulting, Zoho implementation, and cloud solutions.
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