Data Science Manager (London Area)

Oliver Bernard
London
4 weeks ago
Applications closed

Related Jobs

View all jobs

Data Science Manager

Data Science Manager

Data Science Manager

Data Science Manager

Data Science Manager

Data Science Manager

Data Science Manager

Hybrid, London.

Up to £130k


I'm working with a well known financial institution to find an exceptionalData Science Managerto lead and scale their data science function. Ideally, you will bring strong experience infintechorfinancial 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.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Mistakes Candidates Make When Applying for AI Jobs—And How to Avoid Them

Avoid the biggest pitfalls when applying for artificial intelligence jobs. Discover the top 10 mistakes AI candidates make—plus expert tips and internal resources to land your dream role. Introduction The market for AI jobs in the UK is booming. From computer-vision start-ups in Cambridge to global fintechs in London searching for machine-learning engineers, demand for artificial-intelligence talent shows no sign of slowing. But while vacancies grow, so does the competition. Recruiters tell us they reject up to 75 per cent of applications before shortlisting—often for mistakes that could have been fixed in minutes. To help you stand out, we’ve analysed thousands of recent applications posted on ArtificialIntelligenceJobs.co.uk, spoken with in-house talent teams and independent recruiters, and distilled their feedback into a definitive “top mistakes” list. Below you’ll find the ten most common errors, along with actionable fixes, keyword-rich guidance and handy internal links to deeper resources on our site. Bookmark this page before you hit “Apply”—it could be the difference between the “reject” pile and a career-defining interview.

Top 10 Best UK Universities for AI Degrees (2025 Guide)

Discover the ten best UK universities for Artificial Intelligence degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right AI programme for you. Artificial Intelligence continues to transform industries—from healthcare to finance to transportation. The UK leads the way in AI research and education, with several universities consistently ranked among the world’s best for Computer Science. Below, we spotlight ten UK institutions offering strong AI-focused programmes at undergraduate or postgraduate level. While league tables shift year to year, these universities have a track record of excellence in teaching, research, and industry collaboration.

How to Write a Winning Cover Letter for AI Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for AI jobs with this proven 4-paragraph structure. Perfect for junior developers and career switchers. When applying for an AI job, your cover letter can make all the difference. For many, the process of writing a cover letter for an AI position can be daunting, especially when there are so few specific guides for tailoring it to the industry. However, a clear, effective structure combined with AI-specific language and examples can help you stand out from the competition. Whether you're a junior entering the field or a mid-career professional switching to AI, the following framework will make it easier for you to craft a compelling cover letter. In this article, we’ll take you through a proven four-paragraph structure that works and provide sample lines that you can adapt to your personal experience.