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- Tasks: Lead data science initiatives, designing and deploying impactful ML models.
- 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 profitable company with a clear path for career advancement.
- Why this job: Make a direct impact on business growth while shaping the future of data science.
- Qualifications: 7+ years in data science with strong production deployment experience.
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 Slough 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 Slough
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning models and projects. This is your chance to demonstrate your hands-on experience and how you've made an impact in previous roles.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've translated data science into commercial success and how you plan to build a high-performance team.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you, and applying directly can give you a better chance of standing out in the crowd.
We think you need these skills to ace Head of Data Science in Slough
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 hands-on experience with ML models and any leadership roles you've had, as we want to see how you can impact our growth.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for this role. Share specific examples of how you've translated data science into commercial success and how you envision building a high-performance team with us.
Showcase Your Projects: Include links or descriptions of projects where you've deployed production-grade ML models. We love seeing real-world applications of your work, especially those that have made a tangible impact on revenue or customer experience.
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 in our scaling business.
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.