Senior Data Scientist

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

• 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, If you have strong Data Science experience within insurance or financial services and are looking to step into a Senior Data Scientist position with greater ownership and influence, please apply to learn more.

• £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

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.