At a Glance
- Tasks: Drive commercial decisions using analytics and automation in a dynamic energy company.
- Company: Join a family of brands revolutionising energy for a greener future.
- Benefits: Flexible rewards, hybrid working, and support for your well-being.
- Other info: Opportunity to influence business decisions and grow in a supportive environment.
- Why this job: Make a real impact on sustainability while developing your skills in data science.
- Qualifications: Experience in capital modelling and strong Python skills required.
The predicted salary is between 55000 - 65000 £ per year.
Join us, be part of more. We’re so much more than an energy company. We’re a family of brands revolutionising how we power the planet. We're energisers. One team of 21,000 colleagues that's energising a greener, fairer future by creating an energy system that doesn’t rely on fossil fuels, whilst living our powerful commitment to igniting positive change in our communities. Here, you can find more purpose, more passion, and more potential. That’s why working here is #MoreThanACareer.
We do energy differently - we do it all. We make it, store it, move it, sell it, and mend it. We’re looking for a Senior Capital Analyst / Data Scientist who wants to move beyond regulatory reporting and use analytics, automation, and modelling to drive real commercial and underwriting decisions across a business serving ~10 million customers. You’ll sit at the intersection of capital, underwriting, and data science shaping how the capital model is used, building intelligent workflows, and turning complex signals into actionable insight for senior leaders.
Location: We offer a hybrid approach, with home working alongside time in our Windsor or London offices for team collaboration.
What you’ll be doing:
- Capital model development & use‑case expansion
- Enhance and evolve the capital model.
- Proactively identify new business use cases for capital outputs and embed them across the organisation.
- Bring stakeholders with you, improving decision quality and model adoption.
- Automation & trusted workflows
- Streamline and automate core processes — data ingestion, validation, run logging, results storage.
- Ensure outputs are reliable, reproducible, and ready for decision‑making at pace.
- Underwriting performance & actionable insight
- Monitor underwriting performance and emerging trends (profitability, loss ratio drivers, etc.).
- Drive recommendations that influence pricing and underwriting decisions.
- Prioritise early trend detection over retrospective explanation.
- Best‑in‑class dashboards & visualisation
- Build and own clear, interactive dashboards and “what‑if” tools.
- Make capital and underwriting insights easy to explore and hard to misinterpret using tools such as Plotly, Streamlit, or similar.
- Competitor & market intelligence (AI + analytics)
- Develop repeatable, AI‑powered monitoring of competitor propositions, service levels, and customer sentiment (where appropriate).
- Deliver concise “what changed / so what / now what” updates that inform commercial and underwriting strategy.
Here's who we’re looking for:
- Experience in capital modelling (ideally within insurance), with the ability to translate outputs into business decisions.
- Strong understanding of underwriting and portfolio performance, including how to investigate trends and recommend actions.
- Advanced Python capability (pandas, automation mindset) with experience building tools and workflows.
- Strong data visualisation skills, with a focus on clarity, usability, and impact.
- Ability to influence and communicate with senior stakeholders, confidently presenting insights and recommendations.
- A proactive mindset — someone who can spot opportunities, not just problems.
- Bonus experience: SQL (SQLite/Postgres), Experience using LLMs / AI workflows with appropriate controls and evaluation, Exposure to competitor intelligence or market analysis.
This role is ideal for you if you’re looking to move beyond a purely technical or regulatory actuarial seat and into a position where your work genuinely influences business decisions. You’ll have the opportunity to combine capital modelling with data science, automation, and commercial insight, giving you a far broader skillset than a traditional role. Rather than simply producing outputs, you’ll own how those outputs are used—building tools, surfacing trends early, and shaping underwriting and pricing strategy in a visible way. If you enjoy working with data, creating intuitive solutions, and seeing your insights drive real action at scale, this role offers a unique platform to develop quickly while having meaningful impact across a large, customer-focused business.
Why should you apply?
We’re not a perfect place – but we’re a people place. Our priority is supporting all of the different realities our people face. Life is about so much more than work. We get it. That’s why we’ve designed our total rewards to give you the flexibility to choose what you need, when you need it, making sure that you and your family are supported not only financially, but physically and emotionally too.
If you're full of energy, fired up about sustainability, and ready to craft not only a better tomorrow, but a better you, then come and find your purpose in a team where your voice matters, your growth is non-negotiable, and your ambitions are our priority. Help us, help you. We would love for you to share any information about yourself throughout our recruitment process so that we can better understand you and help shape your journey.
Senior Capital & Underwriting Analyst in Leeds employer: Centrica
At our company, we believe in empowering our employees to make a real difference in the world while fostering a supportive and inclusive work environment. With a strong focus on personal and professional growth, we offer flexible rewards that cater to your unique needs, ensuring you and your family are well-supported. Join us in our Windsor or London offices, where collaboration meets innovation, and be part of a team dedicated to energising a greener, fairer future.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Capital & Underwriting Analyst in Leeds
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry events. We’re all about connections, and knowing someone inside can give you that extra edge.
✨Tip Number 2
Prepare for the interview by understanding our mission and values. We want to see your passion for sustainability and how you can contribute to our vision of a greener future.
✨Tip Number 3
Showcase your skills with real examples. When discussing your experience, highlight specific projects where you’ve used data analytics or capital modelling to drive decisions. We love seeing how you think!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our team.
We think you need these skills to ace Senior Capital & Underwriting Analyst in Leeds
Some tips for your application 🫡
Show Your Passion for Energy:When writing your application, let your enthusiasm for sustainability and energy shine through. We want to see how your values align with our mission of creating a greener future!
Tailor Your Experience:Make sure to highlight your experience in capital modelling and data science. We’re looking for specific examples that demonstrate how you’ve used analytics to drive business decisions—this is your chance to shine!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to explain your skills and experiences, especially when discussing technical aspects like Python or data visualisation tools.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the recruitment process!
How to prepare for a job interview at Centrica
✨Know Your Capital Models
Make sure you brush up on your knowledge of capital modelling, especially within the insurance sector. Be ready to discuss how you've translated model outputs into actionable business decisions in the past. This will show that you understand the role's core requirements and can hit the ground running.
✨Showcase Your Data Skills
Prepare to demonstrate your advanced Python capabilities and any experience with SQL. Bring examples of tools or workflows you've built that have streamlined processes or improved decision-making. This is your chance to shine a light on your technical skills and how they can benefit the company.
✨Communicate with Confidence
Practice presenting insights and recommendations clearly and confidently. Think about how you would explain complex data trends to senior stakeholders who may not have a technical background. Being able to communicate effectively is key to influencing decisions in this role.
✨Be Proactive and Curious
Demonstrate your proactive mindset by discussing how you've identified opportunities for improvement in previous roles. Share examples of how you've monitored performance trends and made recommendations that led to positive changes. This will highlight your ability to think ahead and drive real impact.
