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- Tasks: Lead the design and development of AI models for a cutting-edge product discovery platform.
- Company: Fast-growing UK-based AI company with a focus on innovation.
- Benefits: Competitive salary, equity, bonuses, and flexible remote work options.
- Why this job: Shape the future of AI and make a real impact in product discovery.
- Qualifications: Experience with search, ranking, and recommendation systems at scale.
- Other info: Join a dynamic team and drive the ML strategy in a hands-on role.
The predicted salary is between 43200 - 72000 £ per year.
A fast-growing AI company based in the UK is seeking a Lead Data Scientist to architect and drive the modelling engine for their innovative product discovery platform. In this hands-on role, you will influence the product's direction and shape the ML strategy.
Ideal candidates will have experience with search, ranking, and recommendation systems at scale, possessing both practical insights and the ability to build impactful production models.
Competitive compensation package, including equity and bonuses, is offered.
Remote Lead Data Scientist: AI Discovery Engine in Sheffield 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 Sheffield
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and data science community on LinkedIn or at meetups. We can’t stress enough how personal connections can lead to job opportunities, so don’t be shy!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to search, ranking, and recommendation systems. We all love a good visual, so make sure it’s easy to navigate and highlights your best work.
✨Tip Number 3
Prepare for those interviews! Research common questions for Lead Data Scientist roles and practice your answers. We recommend using the STAR method to structure your responses and demonstrate your impact effectively.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for passionate candidates who want to shape the future of AI with us.
We think you need these skills to ace Remote Lead Data Scientist: AI Discovery Engine in Sheffield
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with search, ranking, and recommendation systems. We want to see how your practical insights can shape our ML strategy, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the job description. We love seeing candidates who take the time to align their skills with what we’re looking for in a Lead Data Scientist.
Be Authentic: Let your personality shine through! We’re not just looking for qualifications; we want to know who you are and how you can influence our product’s direction. Be yourself!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Zazu Digital Talent
✨Know Your Data Science Fundamentals
Brush up on your core data science concepts, especially around search, ranking, and recommendation systems. Be ready to discuss your past projects and how they relate to the role, showcasing your practical insights and experience.
✨Showcase Your Hands-On Experience
Prepare to talk about specific models you've built and the impact they've had. Use examples that highlight your ability to architect solutions and drive ML strategies, as this is crucial for influencing the product's direction.
✨Understand the Company’s Product
Familiarise yourself with the company’s innovative product discovery platform. Think about how your skills can enhance their offering and be prepared to share ideas on potential improvements or features during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your interest in the role and the company. Inquire about their current challenges with the modelling engine or future directions for their AI strategy, showing that you’re engaged and forward-thinking.
