At a Glance
- Tasks: Drive commercial decisions using analytics, automation, and capital modelling.
- Company: Join a leading company serving ~10 million customers with a hybrid work culture.
- Benefits: Flexible working, competitive salary, and opportunities for professional growth.
- Other info: Ideal for those wanting to influence strategy and work with cutting-edge technology.
- Why this job: Make a real impact on business decisions while developing your skills in data science.
- Qualifications: Experience in capital modelling and strong Python skills required.
The predicted salary is between 60000 - 75000 £ per year.
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.
Senior Capital & Underwriting Analyst in Antrim employer: Centrica
Join a forward-thinking company that values innovation and collaboration, offering a hybrid work model that balances home working with time in our Windsor or London offices. As a Senior Capital & Underwriting Analyst, you'll not only enhance your analytical skills but also have the opportunity to influence key business decisions, driving real change across a customer-focused organisation. With a strong emphasis on employee growth, we provide a supportive environment where your insights can lead to meaningful impact, making us an excellent employer for those looking to advance their careers in a dynamic setting.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Capital & Underwriting Analyst in Antrim
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Centrica.
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We think you need these skills to ace Senior Capital & Underwriting Analyst in Antrim
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Centrica, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Centrica. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Centrica
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Centrica!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
