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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. Were entering a critical phase of growthand were looking for an exceptional senior engineering member to help us scale from start-up to industry leader.
You must have to ability to lead by example and grow a talented team, build a world-class engineering culture, an…
WHJS1_UKTJ
Locations
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 LLM-driven technology and AI fintech. Being able to discuss recent trends and innovations during your interview will demonstrate your passion and expertise in the field.
✨Tip Number 2
Showcase your leadership skills by preparing examples of how you've successfully led teams in previous roles. Highlight specific instances where you fostered a positive engineering culture or mentored junior team members.
✨Tip Number 3
Research the company’s mission and values thoroughly. Be ready to articulate how your personal values align with theirs, as cultural fit is crucial for a start-up looking to scale.
✨Tip Number 4
Network with current or former employees of the company on platforms like LinkedIn. Gaining insights from their experiences can provide you with valuable information to tailor your approach during the application process.
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 LLM-driven technology and team leadership.
Tailor Your CV: Customise your CV to highlight relevant experience in data science, particularly in fintech and AI. Emphasise your leadership skills and any previous experience in scaling teams or projects.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and fintech. Mention specific achievements that demonstrate your ability to lead and build a strong engineering culture, aligning with the company's growth phase.
Showcase Technical Skills: In your application, clearly outline your technical skills relevant to the role, such as proficiency in machine learning, data analysis, and programming languages. Provide examples of how you've applied these skills in past projects.
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 junior team members in the past.
✨Understand the Company’s Technology
Familiarise yourself with LLM-driven technology and the specific market intelligence solutions the company offers. Being able to discuss their products and how you can contribute will show your genuine interest in the role.
✨Prepare for Technical Questions
Expect to face technical questions related to data science methodologies, algorithms, and tools. Brush up on your knowledge and be ready to explain complex concepts clearly and concisely.
✨Demonstrate Cultural Fit
The company is looking to build a world-class engineering culture. Be prepared to discuss your values and how they align with the company's mission and vision. Share examples of how you've contributed to a positive team environment in previous roles.
