Are you looking to take the next step in your Data Science career within the insurance sector? This is an opportunity to join a highly data-driven insurance business where machine learning and advanced analytics are central to decision-making across underwriting, claims, pricing and customer strategy.
The Company
They are an established insurance company that continues to invest heavily in its Data & Analytics capability. Data Science plays a key role in driving commercial performance, improving customer outcomes and supporting strategic decision-making across the organisation. With a collaborative culture and strong leadership support for analytics, this is an environment where Data Scientists can make a visible impact.
The Role
As a Senior Data Scientist, you will lead the delivery of high-value analytics and machine learning projects, working closely with stakeholders across the business.
Responsibilities include:
- Developing and deploying predictive models to support underwriting, claims, pricing and customer-focused initiatives
- Applying machine learning and statistical techniques to solve complex business challenges
- Leading end-to-end Data Science projects from problem definition through to deployment and monitoring
- Partnering with business stakeholders to identify opportunities for data-driven decision-making
- Presenting insights and recommendations to both technical and non-technical audiences
- Supporting best practice across modelling, experimentation and model governance
- Mentoring junior team members and contributing to the growth of the wider Data Science function
Your Skills & Experience
- Strong commercial Data Science experience within insurance or broader financial services is essential
- Experience building predictive models and machine learning solutions that deliver measurable business value
- Advanced Python skills for machine learning, statistical modelling and data analysis
- Strong SQL skills and experience working with large and complex datasets
- Understanding of insurance domains such as pricing, claims, underwriting, fraud, risk or customer analytics
- Experience engaging with stakeholders and translating business challenges into analytical solutions
- Exposure to cloud-based data environments and deploying models into production is beneficial
- Previous experience mentoring colleagues or leading projects would be advantageous, but applicants do not need to have held a Senior Data Scientist title previously
What They Offer
- £75,000 – £85,000 base salary depending on experience
- Performance-related bonus
- Competitive pension and benefits package
- Flexible hybrid working arrangement
- Ongoing learning and development opportunities
- Clear career progression within a growing Data & Analytics function
- The opportunity to work on business-critical Data Science initiatives with significant organisational visibility
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