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- Tasks: Lead a talented AI team tackling complex data science challenges.
- Company: Join a cutting-edge insure-tech firm focused on innovation and technology.
- Benefits: Enjoy hybrid working, 28 days holiday, private medical, and share options.
- Why this job: Be part of a dynamic team that values curiosity and mentorship in a fast-paced environment.
- Qualifications: Experience in data science, machine learning, and Python is essential; LLM project experience is a bonus.
- Other info: Monthly socials and top-spec equipment provided for a collaborative work culture.
The predicted salary is between 80000 - 120000 £ per year.
Are you looking for your next data science opportunity within the insure-tech space? This is your chance to work as part of a high-quality AI team, tackling complex problems that will provide a service for everyone. Ideally, we would like someone who has worked for a product-led technology business with an emphasis on using Data Science, Machine Learning, and AI to drive success.
This isn’t a traditional lead role; you will take charge of a team of up to four within the wider team and be a key mentor. You should be bright, inquisitive, and curious, with the ability to set good standards and positively challenge those around you.
Any experience working on projects involving LLMs is a huge plus, and there is an expectation that you come from a technical background working commercially with Python. The team is highly talented and constantly drives to innovate.
Benefits:
- 28 days holiday + bank holidays
- Private medical
- Share options
- Learning & development budgets
- Monthly socials
- WeWork office space for in-office days
- Top spec equipment
Lead Data Scientist - Banking employer: Burns Sheehan
Contact Detail:
Burns Sheehan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist - Banking
✨Tip Number 1
Familiarise yourself with the latest trends in data science, machine learning, and AI, especially in the banking and insure-tech sectors. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Network with professionals already working in similar roles or companies. Attend industry meetups or webinars to connect with potential colleagues and learn more about the company culture at StudySmarter.
✨Tip Number 3
Showcase your leadership skills by discussing any previous mentoring or team-leading experiences. Highlight how you've positively influenced team dynamics and driven projects to success, as this role requires a strong focus on mentorship.
✨Tip Number 4
If you have experience with large language models (LLMs), be prepared to discuss specific projects or challenges you've faced. This will set you apart from other candidates and align well with the expectations of the role.
We think you need these skills to ace Lead Data Scientist - Banking
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, machine learning, and AI. Emphasise any leadership roles or mentoring experiences, especially in a product-led technology environment.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects you've worked on that relate to LLMs or other relevant technologies, and explain how your background aligns with their needs.
Showcase Your Technical Skills: Clearly outline your technical skills, particularly your proficiency in Python and any relevant data science tools. Provide examples of how you've applied these skills in previous roles to solve complex problems.
Highlight Your Mentoring Experience: Since the role involves mentoring, include examples of how you've supported and developed team members in the past. This could be through formal mentorship or by leading projects that required collaboration and guidance.
How to prepare for a job interview at Burns Sheehan
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python and any projects you've worked on involving machine learning or AI. Be prepared to discuss specific examples of how you've applied these skills in a commercial setting.
✨Demonstrate Leadership Qualities
Since this role involves mentoring a small team, be ready to share your leadership experiences. Discuss how you've guided others, set standards, and fostered a collaborative environment in previous roles.
✨Prepare for Complex Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities, especially related to data science challenges. Think about how you would approach complex issues and be ready to explain your thought process clearly.
✨Express Your Curiosity and Inquisitiveness
The company values bright and curious individuals. During the interview, convey your passion for learning and innovation in the data science field. Share examples of how you've pursued knowledge and stayed updated with industry trends.
