At a Glance
- Tasks: Develop and implement innovative analytics products using real-world insurance data.
- Company: Join Verisk, a global leader in data and analytics for the insurance industry.
- Benefits: Gain hands-on experience, competitive salary, and opportunities for career growth.
- Other info: Work in a collaborative environment with experienced colleagues and diverse datasets.
- Why this job: Make a real impact on the insurance industry with cutting-edge data science techniques.
- Qualifications: Early-career Data Scientist with a passion for analytics and problem-solving.
The predicted salary is between 25650 - 31350 £ per year.
Verisk is a global data, analytics, and technology company helping organizations make better decisions about risk. Across the insurance industry, our data, predictive models, and technology support decisions throughout the insurance lifecycle, from underwriting and pricing to claims management and fraud detection. We work with complex, high-value datasets including weather, property, business, financial, claims, policy, medical, imagery, and geodemographic data.
Within Verisk Claims UK, we focus on helping insurers improve how claims are assessed, managed, and resolved. Our analytics and automation solutions help streamline claims processes, identify fraud, and support better outcomes for insurers and their customers.
We’re looking for an early-career Data Scientist to join our International Analytics Team and help build the next generation of analytics products across claims and underwriting. This is a role where you can do more than develop models in isolation. You’ll work with real-world insurance data, explore complex problems, test different approaches, and help take models from initial idea through to production.
The work is varied. Depending on the project, you could be developing supervised machine learning models, exploring clustering techniques, working with language models or network analysis, or contributing to AI solutions involving automated document processing, agentic decision-making workflows, and claims analysis and auditing.
You’ll have room to experiment, learn, and build your technical depth while working alongside experienced colleagues who value peer review, knowledge sharing, and high-quality analytical work. For someone at the beginning of their data science career, this is an opportunity to develop broad, practical experience within a global organization while seeing the real-world impact of your work.
This position can be based in our offices in London or Norwich.
This role offers the combination of technical variety, meaningful data, and long-term career development that can be difficult to find in an early-career data science position. You’ll be working on products that support real decisions across the insurance industry, with access to diverse datasets and opportunities to apply both established modeling techniques and newer areas of AI. You’ll also have the scale and stability of Verisk behind you, alongside the opportunity to take genuine ownership of your work, develop your technical expertise, and understand how high-quality data science moves from experimentation into products used by the industry.
Data Scientist in London employer: Verisk Careers | Verisk
Verisk Ignite is an exceptional employer located in the vibrant city of Manchester, offering a dynamic work culture that fosters innovation and collaboration. With a strong emphasis on employee growth, you will have access to mentorship opportunities and the chance to lead cutting-edge projects that incorporate modern technologies like AI. The hybrid work model provides flexibility, allowing you to balance your professional and personal life while contributing to impactful software solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Verisk Careers | Verisk!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist at Verisk Careers | Verisk.
✨Leverage Professional Networks
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 Verisk Careers | Verisk.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist at Verisk Careers | Verisk, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace 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!
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 Verisk Careers | Verisk, 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 Verisk Careers | Verisk. 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 Verisk Careers | Verisk
✨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 Verisk Careers | Verisk!
✨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.