Senior Manager - Data Scientist

About the role

Individual would be part of the Methodology & Assumption (M&A) Actuarial Policyholder Data Team within the Actuarial Modelling & Valuation Centre of Excellence in Finance. A new solution for the validation and transformation of policyholder data used in actuarial modelling and assumption setting is being built.

What you'll do

• Hands-on expertise in model development, validation, tuning and interpretability, ensuring robustness and explainability
• Experience working with large, complex datasets and performing feature engineering and data preparation
• Proficiency in Python for data science and machine learning applications
• Working knowledge of SQL and data manipulation for extracting and preparing datasets
• Working knowledge with PySpark / Databricks or similar distributed data environments

What you need

• 7–10 yrs of experience
• Machine learning
• Python
• SQL
• Pandas
• Scikit-learn
• ETL
• Any graduate

Good to have

• Spark
• Databricks
• MLOps
• Data modelling
• PyTorch
• Actuarial