At a Glance
- Tasks: Lead external data partnerships and drive commercial innovation in a dynamic insurance environment.
- Company: A forward-thinking UK insurer investing in data innovation and analytics.
- Benefits: Competitive salary, bonus, comprehensive benefits, and excellent work-life balance with remote flexibility.
- Other info: Opportunity for significant career growth while working with cutting-edge data solutions.
- Why this job: Shape the future of data strategy and influence key business decisions in a visible leadership role.
- Qualifications: Experience in insurance pricing or analytics, strong quantitative background, and excellent stakeholder management skills.
The predicted salary is between 60000 - 80000 £ per year.
We're partnering with a well-established and successful UK personal lines insurer that is investing heavily in data innovation to drive better pricing, underwriting and customer outcomes. This is a unique opportunity to establish and lead the organisation's external data enrichment capability, owning relationships with data providers and identifying new opportunities to unlock commercial value through third-party data.
Working closely with Pricing, Underwriting, Data Science and senior business stakeholders, you'll become the go-to expert for external data partnerships, helping shape long-term strategy while influencing key commercial decisions. The role offers exceptional flexibility, with predominantly remote working and a minimum expectation of just two office days per month.
Why join?
- Lead and shape a strategically important function with significant visibility across the business
- Own relationships with leading external data providers and influence the future data strategy
- Drive commercial innovation through the identification and adoption of new data solutions
- Work for a financially strong, forward-thinking insurer investing heavily in analytics and technology
- Excellent work-life balance with largely remote working
- Competitive salary, bonus and comprehensive benefits package
This is a commercially focused leadership role centred around identifying, evaluating and delivering new external data opportunities that enhance pricing sophistication and business performance. Rather than being a hands-on technical position, you'll act as the bridge between external data providers and internal business teams, ensuring the organisation is making the best possible use of emerging data sources.
You’ll likely have:
- Experience working within insurance pricing, underwriting or analytics, with a good understanding of personal lines pricing
- A strong academic background in a quantitative discipline such as Statistics, Mathematics, Economics or a related field
- An appreciation of statistical analysis and how external data can improve pricing and underwriting performance
- Experience managing relationships with external suppliers, partners or data providers
- Confidence leading commercial discussions, supplier negotiations and contract conversations
- Strong stakeholder management skills with the ability to influence at all levels of the business
- Excellent communication and presentation skills
- Previous leadership or people management experience would be advantageous
- Technical experience with tools such as SQL, Python or R is beneficial, but this is not a hands-on modelling role. The emphasis is on understanding how data can create commercial value, leading supplier relationships and delivering strategic outcomes
This opportunity would suit someone from insurance pricing, underwriting analytics, data strategy or commercial analytics who enjoys working with external partners, influencing business strategy and identifying innovative ways to use data to improve commercial performance. If you're looking for a highly visible role where you'll shape external data strategy, lead key supplier relationships and influence the future direction of a growing insurer, we'd love to hear from you.
Data Enrichment Manager in East Grinstead employer: Arthur
Join a forward-thinking company that prioritises innovation and employee development in the heart of London. As a Remote Security Engineer, you'll benefit from a collaborative work culture that encourages continuous learning and offers opportunities to lead impactful security initiatives. With a focus on cutting-edge technology and a commitment to maintaining a secure digital environment, this role provides a unique chance to grow your career while contributing to the resilience of a leading player in the insurance sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Enrichment Manager in East Grinstead
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Enrichment Manager in East Grinstead
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, 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. 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
✨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!
✨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.
