Data Scientist
Job Location:
Johannesburg - South Africa
Monthly Salary:
Experience Required:
Posted:
Application Deadline:
Vacancies:
Job Summary
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.
Required Skills:
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
Required Education:
Degree in Data Science Statistics Actuarial Science Mathematics Computer Science or a related quantitative field; Honours or Masters preferredAdvantageous: certification in data science ML or a cloud data platform; IFRS 17 reserving pricing or capital modelling exposure; POPIA knowledge; mentoring experience
