At a Glance
- Tasks: Transform claims data into actionable insights and develop reporting solutions.
- Company: Join a leading insurance firm with a focus on innovation and analytics.
- Benefits: Enjoy hybrid work, competitive salary, and a comprehensive benefits package.
- Other info: Great opportunities for career growth and exposure to senior stakeholders.
- Why this job: Make a real impact by driving strategic decisions through data analysis.
- Qualifications: Experience in data analysis, strong technical skills, and a knack for problem-solving.
The predicted salary is between 40000 - 50000 £ per year.
Claims Data Scientist Location: London (Hybrid) Job Type: Permanent, Full-Time
Our client is seeking a Claims Data Scientist to join its London-based Claims function.
This is an exciting opportunity for an analytical and commercially minded data professional to play a key role in transforming claims data into actionable business insights.
Working within a specialist claims team, you will be responsible for developing reporting solutions, analysing portfolio performance, identifying trends, and delivering management information that supports strategic decision-making across the business.
The successful candidate will combine strong technical data skills with experience working in claims, insurance, or other data-intensive environments.
Key Responsibilities
- Develop, maintain and enhance reporting and management information used to support key business decisions.
- Analyse claims data to identify trends, emerging issues, areas of underperformance, and opportunities for improvement.
- Design and maintain robust data models to ensure data consistency, integrity, and accessibility.
- Create and develop KPI dashboards, reports, and visualisations using Power BI.
- Perform root cause analysis and provide actionable insights to support claims oversight and business performance.
- Ensure high levels of data quality, accuracy, and governance across reporting outputs.
- Support system enhancements, data projects, and process improvement initiatives.
- Apply statistical techniques and analytical tools to identify patterns and support predictive analytics activity.
- Assist with audits, due diligence exercises, and claims data reviews.
- Collaborate with stakeholders across Claims, Operations, and wider business functions to deliver meaningful insights and reporting solutions.
- Drive continuous improvement across reporting and analytical processes.
Skills & Experience Required
- Experience in a Data Analyst, Claims Analyst, BI Analyst, Reporting Analyst, Data Scientist, or similar role.
- Strong experience with: Power BISQLExcel DAXVBA
- Experience using Python and/or R.
- Proven ability to create dashboards, reports, and management information for business stakeholders.
- Experience transforming and modelling data from multiple sources.
- Strong analytical and problem-solving skills with excellent attention to detail.
- Ability to communicate complex findings effectively to both technical and non-technical audiences.
- Insurance, claims, financial services, or regulated industry experience would be advantageous.
- Personal Attributes
- Analytical and inquisitive mindset.
- Strong attention to detail and accuracy.
- Proactive and solutions-oriented approach.
- Excellent communication and stakeholder management skills.
- Able to manage multiple priorities and meet deadlines.
- Self-motivated with a continuous improvement mindset.
- What's on Offer
- Hybrid working arrangement.
- Competitive salary and benefits package.
- Opportunity to work on high-profile analytics and reporting projects.
- Exposure to senior stakeholders and business-critical decision-making.
- Strong long-term development and progression opportunities.
- #J-18808-Ljbffr
Claims Data Scientist in London 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 Claims Data Scientist in London
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We think you need these skills to ace Claims Data Scientist 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!
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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.
