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- Tasks: Lead the development of AI models for product discovery and influence the platform's future.
- Company: Join a fast-growing early-stage AI company shaping the future of consumer recommendations.
- Benefits: Competitive salary, bonuses, equity options, and remote work flexibility.
- Other info: Work closely with the founder and enjoy significant career growth opportunities.
- Why this job: Make a real impact on AI technology and collaborate with industry leaders.
- Qualifications: Experience in search, ranking, retrieval, or recommendation systems at scale.
The predicted salary is between 70000 - 90000 £ per year.
We are working with a fast growing early stage company that is building a new intelligence layer for the next era of product discovery. With AI assistants becoming the first place consumers turn to for information and recommendations, brands need to understand how these systems interpret products, surface them and prioritise them across different conversational and search environments.
They already partner with global consumer brands and now want to hire a Lead Data Scientist to architect and own the modelling engine that powers the platform. You will also help shape the long-term ML strategy, including platform design, experimentation frameworks and the future of the discovery engine.
This role suits someone who has experience in search, ranking, retrieval or recommendation systems at scale and who enjoys building practical production models rather than working in isolation. You will work closely with the founder and have real influence over the direction of the product and the future of the intelligence stack.
The package is strong and comes with a competitive base plus bonus and meaningful early-stage equity with genuine upside.
Lead Data Scientist - Full Time employer: Zazu Digital Talent
Contact Detail:
Zazu Digital Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist - Full Time
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to search, ranking, and retrieval systems. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for the interview by understanding the company’s products and their AI strategy. Tailor your responses to show how your experience aligns with their goals, especially in shaping the long-term ML strategy.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Lead Data Scientist - Full Time
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in search, ranking, retrieval, and recommendation systems. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how you can contribute to shaping our ML strategy. Let us know what makes you the perfect fit for our team.
Showcase Your Practical Experience: We love candidates who have hands-on experience building production models. Share specific examples of your work that demonstrate your ability to architect and own modelling engines, as well as any collaboration with teams or stakeholders.
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Zazu Digital Talent
✨Know Your Stuff
Make sure you brush up on your knowledge of search, ranking, retrieval, and recommendation systems. Be ready to discuss your past experiences and how they relate to the role. We recommend preparing specific examples of models you've built and the impact they had.
✨Understand the Company’s Vision
Dive deep into the company’s mission and the product they’re developing. Familiarise yourself with their current AI strategies and think about how you can contribute to shaping their long-term ML strategy. This shows genuine interest and helps you align your answers with their goals.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and understanding of machine learning concepts. We suggest practising coding challenges or case studies related to data science. Being able to articulate your thought process is just as important as getting the right answer.
✨Show Your Collaborative Spirit
Since this role involves working closely with the founder and influencing product direction, highlight your teamwork and communication skills. Share examples of how you’ve successfully collaborated in the past, especially in building practical production models. This will demonstrate that you’re a great fit for their team-oriented culture.