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- Tasks: Lead and mentor a high-performing data science team to deliver impactful solutions.
- Company: Join a well-known financial institution making waves in fintech.
- Benefits: Enjoy a flexible hybrid working environment and competitive salary up to £130k.
- Why this job: Be part of a mission-critical function in a rapidly growing company with a collaborative culture.
- Qualifications: 8+ years in data science, including 2+ years in leadership; expertise in machine learning and Python required.
- Other info: Experience in a fast-paced scale-up environment is a plus.
The predicted salary is between 78000 - 182000 £ per year.
Hybrid, London. Up to £130k
I'm working with a well-known financial institution to find an exceptional Data Science Manager 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 modelling, 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.
Data Science Manager (London Area) employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager (London Area)
✨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 skills by discussing past experiences where you successfully built and mentored teams. Prepare specific examples that highlight your ability to drive results and foster a collaborative environment.
✨Tip Number 3
Familiarise yourself with the latest trends and technologies in data science, particularly in machine learning and large-scale data processing. Being able to discuss these topics confidently will demonstrate your expertise and passion for the field.
✨Tip Number 4
Prepare to articulate how you would align the data science roadmap with business objectives. Think about how you can present your ideas clearly to both technical and non-technical stakeholders, as this is crucial for the role.
We think you need these skills to ace Data Science Manager (London Area)
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 leading a data science team. Mention specific examples of how you've driven innovation and delivered impactful solutions in previous roles, and adapt your communication style to reflect the needs of both technical and non-technical audiences.
Showcase Technical Skills: Highlight your hands-on technical abilities, especially in Python, SQL, and cloud platforms like AWS or GCP. Provide examples of how you've applied these skills in real-world scenarios to solve complex problems.
Prepare for Interviews: Be ready to discuss your experience in detail during interviews. Prepare to present case studies or examples of your work that demonstrate your analytical skills and ability to influence senior stakeholders effectively.
How to prepare for a job interview at Oliver Bernard
✨Showcase Your Leadership Experience
As a Data Science Manager, you'll need to demonstrate your ability to build and lead high-performing teams. Prepare specific examples of how you've mentored team members and driven successful projects in previous roles.
✨Align with Business Objectives
Familiarise yourself with the company's goals and how data science can support them. Be ready to discuss how you would define and execute a data science roadmap that aligns with their business objectives.
✨Communicate Effectively
You’ll be presenting insights to both technical and non-technical stakeholders. Practice explaining complex data concepts in simple terms, and prepare to adapt your communication style based on your audience.
✨Demonstrate Technical Proficiency
Brush up on your technical skills, especially in Python, SQL, and cloud platforms like AWS or GCP. Be prepared to discuss your hands-on experience with machine learning and large-scale data processing during the interview.
