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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 where data is already central to success.
- 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 City of 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 City of London
✨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 your past projects in detail and how they relate to the role. Practice makes perfect, so consider mock interviews with friends or mentors.
✨Tip Number 4
Apply through our website! We’re all about making connections, and applying directly can give you a better chance of standing out. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Head of Data Science in City of 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 had a direct impact on revenue or customer experience. We want to see how you can translate your skills into commercial success!
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 your background aligns with our mission. Don’t forget to mention your leadership style and how you plan to build a high-performance team.
Showcase Your Projects: If you've worked on any production-grade machine learning models, make sure to include them in your application. We love seeing real-world examples of your work, so share the challenges you faced and the outcomes you achieved. This will help us understand your hands-on experience!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Aura Talent
✨Know Your Data Science Stuff
Make sure you brush up on your data science and machine learning knowledge. Be ready to discuss specific models you've deployed, the challenges you faced, and how they impacted business outcomes. This role is all about translating technical skills into commercial success, so have some solid examples at the ready!
✨Showcase Your Leadership Skills
Since this position 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. Highlight your ability to take ownership and drive results, as this is key for the company’s growth phase.
✨Understand the Business Context
Familiarise yourself with the company's product and its intersection with technology, finance, and sustainability. Think about how data science can enhance their offerings. Showing that you understand their market and can align your strategies with their goals will set you apart.
✨Engage with Stakeholders
This role requires collaboration with senior stakeholders across various departments. Prepare to discuss how you've successfully communicated complex data insights to non-technical audiences in the past. Demonstrating your ability to bridge the gap between data science and business will be crucial.