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- Tasks: Lead and evolve production ML systems for recommendations, personalisation, and search.
- Company: Dynamic company at the forefront of AI innovation in London.
- Benefits: Competitive salary up to £125k, bonus, and hybrid working.
- Other info: Exciting opportunity for strategic thinkers in a fast-paced environment.
- Why this job: Shape the future of generative AI and mentor a talented team.
- Qualifications: Experience leading Data Science teams and strong ML background required.
The predicted salary is between 125000 - 125000 £ per year.
This is a newly created leadership role, designed to bring focus, structure, and strategic direction to an already established ML function, while also shaping a growing GenAI product capability.
You will lead a team responsible for production machine learning systems powering core customer experiences, including recommendations, personalisation, and search.
Key Responsibilities- Lead and evolve a production ML function (recommendations, search, personalisation)
- Own the Data Science roadmap and prioritisation of model investment
- Build and scale generative AI capability across product features
- Define best practices for model evaluation, quality, and responsible AI
- Partner with Engineering and MLOps on deployment and operationalisation
- Mentor and develop a team of Data Scientists
- Experience leading Data Science / ML teams in a product-led business
- Strong background in production machine learning systems
- Exposure to generative AI / LLM-based product development
- Strong technical judgement and ability to operate strategically
- Experience working cross-functionally with Product and Engineering
If this sounds like something you’d be interested in, feel free to reach out for a confidential chat.
Unfortunately, this role does not offer sponsorship!
Head of Data Science in Plymouth employer: Cognify Search
Contact Detail:
Cognify Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Science in Plymouth
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field and let them know you're on the hunt for a Head of Data Science role. You never know who might have the inside scoop on opportunities or can refer you directly.
✨Tip Number 2
Showcase your expertise! Create a portfolio that highlights your experience with production ML systems and generative AI projects. This will not only impress potential employers but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for those interviews! Research the company’s current ML functions and think about how you can bring focus and strategic direction to their team. Be ready to share your vision for evolving their data science roadmap.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that dream job, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Head of Data Science in Plymouth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Head of Data Science role. Highlight your leadership in Data Science and any experience with production ML systems, as this will catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've led teams or developed generative AI capabilities in the past. We love a good story!
Showcase Your Technical Skills: Don’t shy away from detailing your technical expertise in machine learning and AI. We want to see your strong background in production systems and any innovative projects you've worked on that demonstrate your strategic thinking.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Cognify Search
✨Know Your Stuff
Make sure you brush up on your knowledge of production machine learning systems and generative AI. Be ready to discuss specific projects you've led or contributed to, especially those that align with the company's focus on recommendations, personalisation, and search.
✨Show Your Leadership Skills
As this is a leadership role, be prepared to share examples of how you've successfully led Data Science teams in the past. Highlight your mentoring experiences and how you've helped team members grow, as well as your approach to building a strong team culture.
✨Understand the Business Context
Familiarise yourself with the company's products and how data science plays a role in enhancing customer experiences. Be ready to discuss how you would prioritise the Data Science roadmap and make strategic decisions that align with business goals.
✨Cross-Functional Collaboration
Since you'll be working closely with Engineering and MLOps, think about how you've successfully collaborated with other departments in the past. Prepare to discuss how you would approach these partnerships to ensure smooth deployment and operationalisation of models.