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- Tasks: Lead data science initiatives, transitioning pricing models to Python and enhancing machine learning capabilities.
- Company: Globally recognised insurer with a focus on innovation and analytics.
- Benefits: Competitive salary, 30 days holiday, flexible working, and comprehensive health cover.
- Why this job: Shape data science strategy and make impactful decisions in a dynamic environment.
- Qualifications: Strong Python skills and experience with complex datasets; collaborative and proactive mindset.
- Other info: Opportunity for remote work abroad and excellent career growth potential.
The predicted salary is between 43200 - 72000 £ per year.
A globally recognised personal/commercial lines insurer are seeking an experienced Data Scientist to join their established and growing Pricing & Analytics team in London. In this role, you will act as the subject matter expert and technical lead in transitioning GLM pricing models to Python and advancing machine learning capability across the function. Partnering closely with senior performance and analytics leaders, you’ll help shape data science strategy, identify high-value opportunities, and deliver predictive models that support pricing optimisation, fraud detection, retention, renewals, and profitable growth.
You’ll collaborate across business functions, ensure strong governance and regulatory compliance, and present clear, actionable insights to senior stakeholders influencing global decision-making.
Requirements- A hands-on data scientist with strong Python expertise (open to candidates outside of Insurance).
- Experience working with complex datasets, and the ability to translate analysis into commercial impact.
- You’re collaborative, proactive, and confident communicating technical concepts to diverse audiences.
- Comfortable with 2 days per week in London.
In addition to a very competitive salary, you will receive a comprehensive benefits package to support your work and personal life, including 30 days’ holiday (with the option to buy more), flexible working options, generous pension contributions (10%), fully funded private medical cover for you and your family, and inclusive family leave of 26 weeks at full pay and remote working abroad!
If you’re passionate about embedding analytics into everyday business decisions and solving real-world challenges with data, we’d love to hear from you.
Data Science Lead in London employer: Arthur
Contact Detail:
Arthur Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Lead in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving Python and machine learning. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with diverse audiences in this role.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Data Science Lead in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Science Lead role. Highlight your Python expertise and experience with complex datasets, as these are key for us. Don’t just list your skills; show how they’ve made a real impact in your previous roles.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about data science and how you can contribute to our Pricing & Analytics team. Be specific about your experience with predictive models and how you’ve influenced decision-making in the past.
Showcase Your Projects: If you’ve worked on any relevant projects, make sure to include them in your application. Whether it’s transitioning GLM pricing models to Python or developing machine learning capabilities, we want to see your hands-on experience and the results you achieved.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Arthur
✨Know Your Python Inside Out
As a Data Science Lead, you'll need to showcase your strong Python expertise. Brush up on your coding skills and be ready to discuss how you've used Python in past projects, especially in transitioning GLM pricing models or implementing machine learning techniques.
✨Prepare for Technical Questions
Expect to face technical questions that assess your understanding of complex datasets and predictive modelling. Be prepared to explain your thought process and the impact of your analyses on commercial outcomes. Practising common data science scenarios can help you articulate your experience effectively.
✨Showcase Your Collaborative Spirit
This role requires collaboration with various business functions. Be ready to share examples of how you've worked with cross-functional teams in the past. Highlight your proactive approach and how you’ve communicated technical concepts to non-technical stakeholders.
✨Understand the Business Context
Familiarise yourself with the insurance industry and the specific challenges it faces. Being able to discuss how data science can drive pricing optimisation, fraud detection, and retention strategies will demonstrate your understanding of the role's impact on the business.