Pricing Data Scientist - McGregor Boyall

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.