Senior Data Scientist
Hybrid working, with offices across the South East and East Midlands | Up to £75,000 + Bonus
This is an opportunity to join a highly regarded Data Science and Pricing function where advanced analytics sits at the heart of commercial decision-making. You’ll work on complex insurance pricing challenges, build innovative machine learning models, and help shape the next generation of risk and customer pricing strategies. With significant investment in data, technology and analytics, this role offers the chance to work on genuinely impactful projects in a collaborative and forward-thinking environment.
The Company
They are a well-established UK business with a strong reputation for data-driven decision making and sophisticated analytics capabilities. Their Data Science team plays a critical role in driving pricing performance, customer outcomes and strategic growth. Having invested heavily in data, cloud infrastructure and machine learning, they provide an environment where experimentation, innovation and continuous improvement are actively encouraged.
The Role
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
- Competitive salary of up to £75,000
- 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
How to Apply
If you’re interested in applying advanced Data Science and Pricing Analytics techniques within a highly sophisticated analytics environment, please apply with your CV for further information.
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