remote
Pricing Data Scientist - McGregor Boyall
Data Scientist
Lead the development of pricing models for protection insurance, leveraging advanced analytics, machine learning, and predictive modelling to drive commercial strategy and optimise product profitability.
About the role
Key Responsibilities
- Design, build and validate machine learning models to forecast pricing and risk for protection insurance products.
- Collaborate with pricing, actuarial and product teams to translate business objectives into analytical solutions.
- Develop and maintain robust data pipelines, ensuring data quality and integrity for model inputs.
- Communicate model insights and recommendations to senior stakeholders through clear visualisations and reports.
- Monitor model performance post‑deployment and iterate to improve accuracy and business impact.
Requirements
- Strong programming skills in Python and experience with libraries such as scikit‑learn, pandas, and numpy.
- Proven track record in building predictive models for pricing or risk assessment in an insurance or financial context.
- Solid understanding of SQL and experience querying large datasets.
- Excellent analytical thinking, problem‑solving abilities and a commercial mindset.
- Effective communication skills, able to present complex findings to non‑technical audiences.
Skills
pythonmachine learningsql