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- Tasks: Lead the development of AI models for product discovery and influence the platform's future.
- Company: Fast-growing early-stage AI company revolutionising consumer brand interactions.
- Benefits: Competitive salary, bonuses, equity options, and remote work flexibility.
- Other info: Collaborative environment with direct influence on product direction.
- Why this job: Shape the future of AI in product discovery and make a real impact.
- Qualifications: Experience in search, ranking, retrieval, or recommendation systems at scale.
The predicted salary is between 80000 - 100000 £ 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 - Banking 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 - Banking
✨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 technical side! Brush up on your data science fundamentals and be ready to tackle case studies or coding challenges. Companies love candidates who can think on their feet and solve problems in real-time.
✨Tip Number 4
Apply through our website! We make it easy for you to connect with us directly. Plus, it shows you're genuinely interested in being part of our team and the exciting work we're doing in AI and product discovery.
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 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!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the 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 this will really catch our eye!
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 you’re considered for this exciting opportunity!
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 in these areas 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 partnerships and how they leverage AI for product discovery. This will help you align your answers with their goals and show that you’re genuinely interested in contributing to their vision.
✨Prepare for Technical Questions
Expect to face technical questions that assess your problem-solving skills and understanding of machine learning strategies. We suggest practising coding challenges or discussing case studies related to ML architecture and experimentation frameworks to showcase your expertise.
✨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 with others in the past, especially in building production models or shaping strategies.