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- Tasks: Lead and evolve a production ML function while shaping generative AI capabilities.
- Company: Dynamic tech company in London with a focus on innovation.
- Benefits: Competitive salary up to £125k, bonus, and hybrid work options.
- Other info: Opportunity to mentor and develop a talented team of Data Scientists.
- Why this job: Make a significant impact in a leadership role within a cutting-edge ML team.
- Qualifications: Experience leading Data Science teams and strong background in production ML systems.
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 Wolverhampton 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 Wolverhampton
✨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 past projects, especially those involving production ML systems and generative AI. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and leadership skills. Be ready to discuss how you've led teams and shaped data science strategies in previous roles. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for the Head of Data Science position. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Head of Data Science in Wolverhampton
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 Data Science Stuff
Make sure you brush up on your knowledge of production machine learning systems, especially in areas like recommendations and personalisation. Be ready to discuss specific projects you've led or contributed to, showcasing your technical judgement and strategic thinking.
✨Showcase Your Leadership Skills
As this role is about leading a team, be prepared to talk about your experience mentoring Data Scientists. Share examples of how you've built and scaled teams, and how you've fostered a collaborative environment with Engineering and MLOps.
✨Understand Generative AI
Since the role involves shaping a growing GenAI product capability, make sure you’re up to speed on generative AI and LLM-based product development. Bring examples of how you've applied these technologies in past roles to demonstrate your expertise.
✨Prepare for Cross-Functional Collaboration
This position requires working closely with Product and Engineering teams. Think of instances where you've successfully collaborated across functions, and be ready to discuss how you can bridge the gap between data science and product development.