At a Glance
- Tasks: Work with real-world insurance data and develop innovative models.
- Company: Join Verisk Analytics, a leader in data-driven insights.
- Benefits: Gain valuable experience, mentorship, and career growth opportunities.
- Other info: Collaborative environment with experienced colleagues in London or Norwich.
- Why this job: Make an impact in the insurance industry using cutting-edge analytics.
- Qualifications: Passion for data science and eagerness to learn new techniques.
The predicted salary is between 60750 - 74250 £ per year.
Verisk Analytics, Inc. is hiring an early-career Data Scientist to join the International Analytics Team. You will work with real-world insurance data, develop models from concept to production, and explore a range of techniques from supervised learning to language models and AI-driven workflows. Based in London or Norwich, you’ll collaborate with experienced colleagues, receive peer review, and contribute to high‑quality analytical work while growing your technical depth in a global environment.
Early‑Career Data Scientist — Insurance Claims & Underwriting in London employer: Verisk Analytics, Inc.
Verisk is an exceptional employer, offering a dynamic work environment in Norwich where innovation meets collaboration. As a Data Engineer, you will have the opportunity to work with cutting-edge technologies like AWS and Python, while benefiting from a culture that prioritises employee growth and development through continuous learning and impactful projects. Join us to be part of a team that values your contributions and fosters a supportive atmosphere for meaningful career advancement.
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We think this is how you could land Early‑Career Data Scientist — Insurance Claims & Underwriting in London
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We think you need these skills to ace Early‑Career Data Scientist — Insurance Claims & Underwriting 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 Verisk Analytics, Inc., 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 Analytics, Inc.. 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 Analytics, Inc.
✨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!
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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 Analytics, Inc.!
✨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.
