At a Glance
- Tasks: Lead the development of innovative pricing features and geospatial risk models for home insurance.
- Company: Join a cutting-edge UK insurer known for solving complex challenges in home insurance.
- Benefits: Competitive salary, career growth opportunities, and a chance to influence strategy.
- Other info: Open to candidates with relevant experience who are eager to grow into the role.
- Why this job: Shape the future of risk capability with your expertise in data science and analytics.
- Qualifications: Experience in insurance pricing, data science, and strong technical skills in Python, R, and SQL.
The predicted salary is between 60000 - 80000 £ per year.
Exclusive to Arthur, we're partnering with an innovative, technology-led UK insurer that has built its reputation by solving some of the most complex challenges in home insurance. Operating at the intersection of data science, geospatial intelligence and underwriting, the business has spent over two decades using technology and analytics to better understand risk and provide cover where others cannot.
As they continue to invest in advanced pricing capabilities, they are looking to appoint an R&D Manager – Data Enrichment, Risk Pricing & Geospatial Analytics to lead the discovery, development and deployment of next-generation risk signals that drive underwriting and pricing performance. This is a rare opportunity for a senior analyst, principal analyst or technical lead to step into a highly visible leadership role where you'll influence strategy, build new capabilities and see your work deployed directly into production.
The Opportunity
You'll lead the development of innovative pricing features and geospatial risk models focused on property and household insurance risks. Working across Pricing, Data Science, Underwriting and Claims, you'll identify new data sources, assess emerging technologies and transform research concepts into deployable pricing solutions that deliver measurable commercial impact. This is a genuinely hands-on role where you'll combine technical expertise, commercial thinking and people leadership to shape the insurer's future risk capability.
You’ll likely bring:
- Extensive experience within insurance pricing, data science, catastrophe modelling, geospatial analytics or related risk functions.
- Strong household insurance experience.
- A track record of delivering predictive models, pricing features or data products into production environments.
- Experience working with third-party geospatial, environmental or property datasets.
- Strong technical capability across Python, R and SQL.
- Experience using GIS technologies such as QGIS, ArcGIS, GeoPandas or PostGIS.
- Understanding of model governance, explainability and regulatory requirements.
- Excellent stakeholder management and communication skills.
If your experience aligns with many of the areas outlined above, but not necessarily all of them, we'd still encourage you to apply. The hiring manager is open to exploratory conversations with individuals who can bring some relevant experience and have the capability and ambition to grow into the role.
Pricing Data Enrichment Manager in London employer: Arthur Recruitment
As a leading technology-driven insurer, this company offers an exceptional work environment where innovation and collaboration thrive. Employees benefit from a culture that prioritises professional growth, with opportunities to lead cutting-edge projects in data enrichment and geospatial analytics. Located in the UK, the firm not only provides competitive remuneration but also fosters a dynamic atmosphere that encourages creativity and the application of advanced technologies to solve complex insurance challenges.
StudySmarter Expert Advice🤫
We think this is how you could land Pricing Data Enrichment Manager in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Pricing Data Enrichment Manager in London
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 Arthur Recruitment, 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 Arthur Recruitment. 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 Arthur Recruitment
✨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 Arthur Recruitment!
✨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.
