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- Tasks: Lead data science initiatives, designing impactful machine learning models for business growth.
- Company: High-growth UK scale-up at the intersection of tech, finance, and sustainability.
- Benefits: Hybrid work model, competitive salary, and opportunity to build a high-performance team.
- Other info: Join a dynamic environment with significant growth potential and hands-on leadership opportunities.
- Why this job: Make a real impact in a profitable company with a clear path for leadership.
- Qualifications: 7+ years in data science, strong academic background, and proven commercial impact.
The predicted salary is between 80000 - 100000 £ per year.
We’re partnering with a high-growth, profitable UK scale-up building a category-defining product at the intersection of technology, finance, and sustainability. They’ve already reached significant scale (hundreds of thousands of users), have strong unit economics, and are now entering the next phase of growth, where data science becomes a core competitive advantage.
You’ll start as a hands-on leader, owning and deploying production-grade machine learning models that directly impact revenue, risk, and customer experience, while simultaneously building the function around you.
What you’ll actually be doing:
- Designing and deploying ML models across areas like risk, churn, and personalisation
- Owning projects end-to-end (problem → model → production → monitoring)
- Working directly with senior stakeholders across product, engineering, and commercial
- Defining the long-term data science roadmap
- Building a high-performance team over time
What they’re looking for (non-negotiables):
- ~7+ years in data science / ML with production deployment experience
- Strong academic background (STEM / quantitative discipline preferred)
- Proven ability to translate models into commercial impact
- Comfortable operating as a hands-on IC + leader
- High ownership mindset — you take responsibility for outcomes, not just output
Why it’s interesting:
- Profitable, scaling business
- Data is already central, you’re not starting from zero
- Direct impact on core business levers
- Clear path to building and leading a team
- Hybrid (3 days/week in London)
Head of Data Science in London employer: Aura Talent
Contact Detail:
Aura Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Science in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at companies you're interested in. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Showcase your skills! Create a portfolio of your projects, especially those involving ML models and their impact on business outcomes. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for the interview by understanding the company’s data strategy. Research their products and think about how your experience can directly contribute to their goals. Tailoring your approach shows you’re genuinely interested and ready to make an impact.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that dream job. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Head of Data Science in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience in data science and ML, especially any hands-on projects that show your ability to deploy models in production. We want to see how your skills can directly impact revenue and customer experience!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about data science and how you envision contributing to our growth. Mention specific projects or experiences that align with the role, especially those that demonstrate your leadership and ownership mindset.
Showcase Your Impact: When detailing your past roles, focus on the outcomes of your work rather than just the tasks you performed. We love to see quantifiable results, so if you’ve improved processes or driven revenue through your models, make sure to highlight that!
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 gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at Aura Talent
✨Know Your Models Inside Out
Make sure you can discuss your previous machine learning models in detail. Be ready to explain the problem you solved, the approach you took, and the impact it had on the business. This shows you not only understand the technical side but also how it translates into commercial success.
✨Showcase Your Leadership Skills
Since this role involves building a team, be prepared to talk about your leadership style and experiences. Share examples of how you've mentored others or led projects, highlighting your ability to take ownership and drive results.
✨Understand the Business Context
Research the company’s product and its market position. Be ready to discuss how data science can enhance their offerings, particularly in areas like risk and customer experience. This demonstrates your strategic thinking and alignment with their goals.
✨Prepare for Stakeholder Engagement
You’ll be working with senior stakeholders, so practice articulating complex data concepts in simple terms. Think of examples where you’ve successfully communicated technical information to non-technical audiences, as this will be crucial in your role.