Description:
As a Senior Data Scientist, you will be part of a specialist team focused on insurance pricing, predictive modelling and the development of innovative data products.
Responsibilities include:
- Developing and deploying machine learning models to support pricing and risk decisions
- Building new rating factors and predictive features from large, complex datasets
- Exploring alternative data sources to improve pricing sophistication and commercial performance
- Delivering claims, customer and risk analytics that influence business strategy
- Working closely with stakeholders across analytics, pricing and technology functions
- Supporting model monitoring, evaluation and continuous improvement
- Mentoring junior team members and contributing to technical best practice
- Identifying opportunities to apply emerging machine learning techniques to commercial challenges
Your Skills & Experience
- Strong commercial experience in Data Science, Machine Learning or Pricing Analytics
- Experience working within insurance, or exposure to pricing, risk or customer analytics in a highly regulated environment
- Advanced Python and SQL skills
- Experience building predictive models from development through to deployment
- Knowledge of machine learning techniques such as XGBoost, CatBoost or similar approaches
- Ability to work with large, complex and messy datasets
- Strong stakeholder engagement and communication skills
- Experience supporting or mentoring more junior colleagues
What They Offer
- Performance-related bonus
- Hybrid working model with flexibility
- The chance to work alongside a highly respected Data Science and Pricing team
- Exposure to innovative modelling challenges and cutting-edge datasets
- Opportunities to mentor, influence projects and develop leadership capability
- A collaborative environment with strong investment in analytics, technology and career development