Why This Role Stands Out
This hybrid role offers the chance to drive significant commercial impact by applying rigorous econometric and causal inference techniques within a globally recognized consumer technology leader, with a competitive salary of up to £130,000 plus bonus. You'll thrive here if you're passionate about uncovering the "why" behind data and translating complex findings into actionable insights for a data-centric organization. Apply now to join a dynamic new data science team and shape customer value understanding.
Quick Overview
Job Description
Senior Data Scientist
London (Hybrid) | £60,000 - £85,000 + Bonus + Benefits
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
How to Apply
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.
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