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- Tasks: Lead data science initiatives, develop AI solutions, and mentor team members.
- Company: Chaucer, a leading insurance group at Lloyd’s with a global presence.
- Benefits: Flexible working arrangements, commitment to diversity, and opportunities for career growth.
- Why this job: Shape the future of data-driven decision-making in a dynamic industry.
- Qualifications: Experience in data science, machine learning, and strong coding skills.
- Other info: Join a diverse team dedicated to innovation and excellence.
The predicted salary is between 36000 - 60000 £ per year.
The Data Science Lead is a hands-on, individual contributor responsible for building and growing Chaucer’s data science capability within the central Data Office. The role blends strategic leadership with technical delivery, laying the foundations for Chaucer’s Data Science & AI Centre for Enablement.
The role’s purpose is to accelerate Chaucer’s ability to use advanced analytics, machine learning, and AI to drive business growth, efficiency, and risk management, ensuring Chaucer becomes an increasingly data-driven organisation. You’ll develop advanced analytics and AI solutions, explore emerging technologies such as Agentic AI and Snowflake Cortex, and identify high-value AI use cases that deliver real impact.
This is a hands-on role, involving coding, model development, and solution delivery, while shaping the roadmap for future growth. You’ll also provide guidance and mentorship as the capability evolves. Initially an individual contributor position, this role has the potential to grow into a leadership role as the function expands.
Chaucer is committed to diversity, actively values difference and respects people regardless of the protected characteristics which are outlined in the Equality Act 2010 (UK legislation) as a result of the Equal Treatment Directive 2006 (EU legislation). A diverse workforce and an inclusive workplace are core to our success as a business and integral to our winning strategy and culture. We recruit from the widest available pool of talent, and our hiring, assessment and selection process is fair, free from bias and one which ensures we select the right person for the job, based on merit. We are committed to promoting a culture that actively values difference, and recognises that everyone has the right to be treated with dignity and respect throughout their employment.
We are open to considering flexible working arrangements for all roles and encourage you to outline your needs during the interview process.
Data Science Lead in London employer: Chaucer
Contact Detail:
Chaucer 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 advanced analytics and AI. 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 technical questions and case studies relevant to data science. Practice coding challenges and be ready to discuss your thought process when solving problems. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining Chaucer and being part of our diverse and inclusive team.
We think you need these skills to ace Data Science Lead in London
Some tips for your application 🫡
Show Your Passion for Data Science: When you're writing your application, let your enthusiasm for data science shine through! Share specific examples of projects you've worked on or technologies you've explored that relate to the role. We want to see your genuine interest in building and growing data capabilities.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Data Science Lead position. Highlight relevant skills and experiences that align with the job description. We love seeing how your background fits into our vision for advanced analytics and AI solutions!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language and avoid jargon unless it's necessary. We appreciate a well-structured application that makes it easy for us to see your qualifications and potential contributions.
Apply Through Our Website: Don't forget to submit your application through our website! This ensures we receive all your details correctly and helps us keep track of your application. Plus, it shows you're keen on joining our team at Chaucer!
How to prepare for a job interview at Chaucer
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially around advanced analytics, machine learning, and AI. Be ready to discuss specific projects you've worked on, the technologies you've used, and how they relate to Chaucer's goals.
✨Showcase Your Hands-On Experience
Since this role is hands-on, be prepared to talk about your coding skills and model development experience. Bring examples of your work that demonstrate your ability to deliver solutions and drive business growth through data.
✨Understand Chaucer’s Business
Do your homework on Chaucer and the insurance industry. Understand their clients and the risks they face. This will help you tailor your answers to show how your skills can directly benefit their operations and strategic goals.
✨Emphasise Leadership Potential
Even though this is initially an individual contributor role, highlight your leadership experience and potential. Discuss how you can mentor others and contribute to building a strong data science capability as the team grows.
