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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 Reading 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 Reading
✨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 genuinely interested in joining our team.
We think you need these skills to ace Head of Data Science in Reading
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 is what we’re really looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about leading a Data Science team and how your background in generative AI can benefit us. Keep it engaging and relevant to the job description.
Showcase Your Achievements: When detailing your experience, focus on specific achievements that demonstrate your impact in previous roles. We love numbers, so if you can quantify your successes, do it! This will help us see the value you can bring to our team.
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 the role. Plus, it shows you’re keen on joining our team at StudySmarter!
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 and the impact they had on customer experiences.
✨Showcase Your Leadership Skills
As this is a leadership role, be prepared to talk about your experience mentoring and developing teams. Share examples of how you've successfully led Data Science or ML teams in a product-led environment, and how you’ve fostered collaboration with Engineering and MLOps.
✨Get Familiar with Generative AI
Since the role involves scaling generative AI capabilities, make sure you can discuss your exposure to LLM-based product development. Bring examples of how you've implemented or contributed to generative AI features in past roles.
✨Prepare for Strategic Discussions
This position requires strong technical judgement and strategic thinking. Think about how you would define best practices for model evaluation and quality. Be ready to discuss your approach to prioritising model investments and how you would shape the Data Science roadmap.