Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead and mentor a high-performing data science team while driving innovation in data usage.
- Company: Join a well-known financial institution making waves in fintech and financial services.
- Benefits: Enjoy a flexible hybrid working environment and collaborate with a talented leadership team.
- Why this job: Be at the forefront of impactful data-driven solutions in a rapidly growing company.
- Qualifications: 8+ years in data science, including 2+ years in leadership; expertise in machine learning and cloud platforms.
- Other info: Ideal for those with experience in fast-paced scale-up environments.
The predicted salary is between 72000 - 108000 £ per year.
I'm working with a well-known financial institution to find an exceptional Head of Data Science to lead and scale their data science function. Ideally, you will bring strong experience in fintech or financial services, with a proven ability to build high-performing teams and deliver impactful, data-driven solutions.
Key Responsibilities:
- Build, mentor, and lead a high-caliber data science team.
- Define and execute the data science roadmap in alignment with business objectives.
- Present analysis and insights clearly to senior stakeholders, adapting communication style for both technical and non-technical audiences through written reports and verbal presentations.
- Work closely with engineering, product, and executive teams to integrate models into production systems.
- Drive innovation in data usage across analytics, predictive modeling, and decision systems.
What We’re Looking For:
- 8+ years of data science experience, including 2+ years in leadership roles.
- Strong background in fintech, banking, lending, or payments preferred.
- Expertise in machine learning, statistics, and large-scale data processing.
- Hands-on technical ability (Python, SQL, cloud platforms like AWS or GCP).
- Excellent communication skills with the ability to influence at C-level.
- Experience in a fast-paced, scale-up environment is a plus.
Why Join Us?
- Lead a mission-critical function in a rapidly growing company.
- Work with a talented, collaborative leadership team.
- Flexible hybrid working environment based in London.
Head of Data Science employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Science
✨Tip Number 1
Network with professionals in the fintech and financial services sectors. Attend industry events, webinars, or meetups to connect with potential colleagues and leaders who can provide insights into the company culture and expectations.
✨Tip Number 2
Showcase your leadership experience by discussing specific examples of how you've built and mentored data science teams in the past. Be prepared to share your approach to fostering collaboration and innovation within your teams.
✨Tip Number 3
Familiarise yourself with the latest trends and technologies in data science, particularly those relevant to fintech. Being able to discuss recent advancements or case studies during interviews can demonstrate your passion and expertise in the field.
✨Tip Number 4
Prepare to articulate how you would align the data science roadmap with business objectives. Think about how you can leverage data to drive decision-making and present your ideas clearly to both technical and non-technical stakeholders.
We think you need these skills to ace Head of Data Science
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in data science, particularly in fintech or financial services. Emphasise your leadership roles and any successful projects that demonstrate your ability to build high-performing teams.
Craft a Compelling Cover Letter: In your cover letter, clearly articulate your vision for the data science function and how it aligns with the company's objectives. Mention specific examples of how you've driven innovation and delivered impactful solutions in previous roles.
Showcase Communication Skills: Since excellent communication is key for this role, include examples in your application that demonstrate your ability to present complex data insights to both technical and non-technical audiences. This could be through past presentations or written reports.
Highlight Technical Proficiency: Be sure to detail your hands-on experience with relevant technologies such as Python, SQL, and cloud platforms like AWS or GCP. Providing specific examples of how you've used these tools in your work will strengthen your application.
How to prepare for a job interview at Oliver Bernard
✨Showcase Your Leadership Experience
As a candidate for the Head of Data Science role, it's crucial to highlight your leadership experience. Be prepared to discuss specific examples of how you've built and mentored high-performing teams in the past, particularly in fintech or financial services.
✨Demonstrate Technical Proficiency
Make sure to showcase your hands-on technical skills, especially in Python, SQL, and cloud platforms like AWS or GCP. Prepare to discuss projects where you applied machine learning and large-scale data processing to solve real-world problems.
✨Tailor Your Communication Style
Since you'll be presenting to both technical and non-technical stakeholders, practice adapting your communication style. Prepare to explain complex data science concepts in simple terms, and have examples ready that illustrate your ability to influence at the C-level.
✨Align with Business Objectives
Understand the company's business objectives and be ready to discuss how you would define and execute a data science roadmap that aligns with these goals. Show your strategic thinking by providing insights on how data-driven solutions can drive innovation and impact the business.
