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For Companies At a Glance
- Tasks: Lead a talented team in developing cutting-edge AI fintech solutions.
- Company: Join an award-winning start-up revolutionising market intelligence with innovative technology.
- Benefits: Enjoy flexible working options and a vibrant company culture.
- Why this job: Be part of a critical growth phase and make a real impact in the industry.
- Qualifications: Proven experience in data science and leadership skills required.
- Other info: Opportunity to shape the future of fintech and grow your career.
The predicted salary is between 43200 - 72000 £ per year.
My client is an award-winning AI fintech start-up delivering real-time and historical market intelligence using LLM-driven technology. We are entering a critical phase of growth and are looking for an exceptional senior engineering member to help us scale from start-up to industry leader.
You must have the ability to lead by example and grow a talented team, build a world-class engineering culture.
Lead Data Scientist employer: Required IT
Contact Detail:
Required IT Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and fintech. Being well-versed in LLM-driven technology will not only help you understand the company's products but also demonstrate your passion for the industry during discussions.
✨Tip Number 2
Showcase your leadership skills by preparing examples of how you've successfully led teams in the past. Be ready to discuss specific challenges you faced and how you overcame them, as this will highlight your ability to grow a talented team.
✨Tip Number 3
Research the company culture and values. Understanding what makes their engineering culture unique will allow you to align your own values with theirs, making it easier to convey why you're a great fit for the role.
✨Tip Number 4
Network with current or former employees if possible. Engaging with them can provide valuable insights into the company’s expectations and work environment, which you can leverage during your conversations with the hiring team.
We think you need these skills to ace Lead Data Scientist
Some tips for your application 🫡
Understand the Role: Take time to thoroughly read the job description for the Lead Data Scientist position. Understand the key responsibilities and required skills, especially those related to AI and fintech.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience in leading teams and developing data-driven solutions. Provide specific examples of projects where you have successfully implemented LLM-driven technology or similar innovations.
Showcase Leadership Skills: Since the role requires leading a talented team, make sure to highlight your leadership experiences. Discuss how you've built engineering cultures in previous roles and how you plan to do so in this new position.
Tailor Your Application: Customise your CV and cover letter to reflect the values and mission of the company. Mention how your vision aligns with their goal of scaling from a start-up to an industry leader in the fintech space.
How to prepare for a job interview at Required IT
✨Showcase Your Leadership Skills
As a Lead Data Scientist, you'll need to demonstrate your ability to lead and inspire a team. Prepare examples of how you've successfully managed projects or mentored colleagues in the past.
✨Understand the Company’s Technology
Familiarise yourself with the LLM-driven technology that the company uses. Be ready to discuss how your experience aligns with their tech stack and how you can contribute to their growth.
✨Prepare for Technical Questions
Expect in-depth technical questions related to data science methodologies, algorithms, and tools. Brush up on your knowledge and be prepared to solve problems on the spot.
✨Demonstrate Cultural Fit
The company is looking to build a world-class engineering culture. Research their values and be ready to discuss how your personal values align with theirs, showcasing your fit within their team.
