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- Tasks: Architect and design innovative AI modelling systems for a fast-growing company.
- Company: Dynamic AI startup in the UK with a focus on cutting-edge technology.
- Benefits: Competitive salary, meaningful equity, and a vibrant startup culture.
- Why this job: Shape the future of AI and make a real impact in a collaborative team.
- Qualifications: Experience in search systems and hands-on model building required.
- Other info: Join a fast-paced environment with exciting growth opportunities.
The predicted salary is between 43200 - 72000 £ per year.
A fast-growing AI company in the United Kingdom seeks a Lead Data Scientist to architect their modelling engine. This role involves designing ranking systems and shaping long-term machine learning strategies. The ideal candidate will have experience in search and retrieval systems and a hands-on approach to model building. This position offers a competitive salary and meaningful equity in a dynamic startup environment. Join a team where your contributions will shape the product and its future direction.
Remote Lead Data Scientist: AI Discovery Engine in Manchester employer: Zazu Digital Talent
Contact Detail:
Zazu Digital Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Lead Data Scientist: AI Discovery Engine in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and data science community. Attend meetups, webinars, or even just connect 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 projects, especially those related to search and retrieval systems. This is your chance to demonstrate your hands-on approach to model building and how you can architect a modelling engine.
✨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 both technical and non-technical team members.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our dynamic startup environment.
We think you need these skills to ace Remote Lead Data Scientist: AI Discovery Engine in Manchester
Some tips for your application 🫡
Show Off Your Skills: When you're writing your application, make sure to highlight your experience with search and retrieval systems. We want to see how your hands-on approach to model building can contribute to our AI Discovery Engine.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Lead Data Scientist role. We love seeing candidates who take the initiative to connect their experience with what we’re looking for.
Be Authentic: Let your personality shine through in your application. We’re a dynamic startup, and we value authenticity. Share your passion for AI and how you envision shaping our product’s future direction.
Apply Through Our Website: Make sure to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for this exciting opportunity with us!
How to prepare for a job interview at Zazu Digital Talent
✨Know Your Models Inside Out
Make sure you can discuss your experience with various modelling techniques and how they apply to ranking systems. Be ready to explain your thought process behind model building and any challenges you've faced in previous projects.
✨Showcase Your Hands-On Experience
Prepare examples of your hands-on work with machine learning strategies. Discuss specific projects where you’ve implemented search and retrieval systems, highlighting the impact your contributions had on the outcomes.
✨Understand the Company’s Vision
Research the company’s AI Discovery Engine and its goals. Be prepared to share your thoughts on how you can contribute to shaping the product's future direction and align your expertise with their mission.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your interest in the role and the company. Inquire about their current challenges in data science and how they envision the Lead Data Scientist contributing to overcoming them.
