Head of Data Science

Oliver Bernard
London, England
11 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

Forward Deployed Engineer

SolveAI London, United Kingdom
Hybrid
Spotlight

Machine Learning Engineer (Forward Deployed)

Mind Foundry Oxford/ Hybrid, Oxfordshire, United Kingdom

Lead Solutions Architect (Digital Natives Business)

Databricks London, United Kingdom

Head of Translational Sciences, Drug Design, Cambridge, MA

Isomorphic Labs Cambridge, United Kingdom
On-site

Head of Medicinal Chemistry, Drug Design, London

Isomorphic Labs London, United Kingdom
On-site

Head of Chemistry, Drug Design, Cambridge, MA

Isomorphic Labs Cambridge, United Kingdom

Head of Computational Drug Design, Cambridge, MA

Isomorphic Labs Cambridge, United Kingdom
Posted
30 Jun 2025 (11 months ago)

Direct message the job poster from Oliver Bernard
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.
Seniority level Mid-Senior level
Employment type Full-time
Job function Information Technology
Industries Technology, Information and Media, Data Infrastructure and Analytics, and Software Development
Referrals increase your chances of interviewing at Oliver Bernard by 2x
Sign in to set job alerts for “Head of Data Science” roles. Location: London, England, United Kingdom

#J-18808-Ljbffr

Industry Insights

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

Where to Advertise AI Jobs in the UK (2026 Guide)

Where to advertise AI jobs UK in 2026: the specialist boards and communities that reach AI engineers, ML scientists and applied research talent in the UK. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

AI Jobs UK 2026: What to Expect Over the Next 3 Years

AI Jobs UK 2026: roles, salaries and the generative AI, machine learning and applied AI hiring trends shaping UK artificial intelligence careers. Artificial intelligence is creating jobs faster than the market can name them. New roles are appearing every quarter, existing titles are splitting into specialisms, and the technologies underpinning it all are evolving at a pace that makes even last year's job descriptions feel dated. For job seekers, this presents a genuinely unusual challenge. In most industries, career planning means understanding a relatively stable landscape and working out where you fit within it. In AI, the landscape itself is being redrawn in real time. The roles with the most hiring activity in 2028 may not yet have a widely agreed job title in 2026. That's not a reason to feel overwhelmed — it's a reason to get informed. The candidates who thrive in this market aren't necessarily those with the longest CVs or the most credentials. They're the ones who understand the direction of travel: which skills are gaining value, which technologies are driving employer decisions, and how the definition of an "AI job" is expanding well beyond the tech sector. This article breaks down what the UK AI jobs market is likely to look like over the next three years — covering emerging job titles, the technologies reshaping hiring, the skills employers are prioritising, and how to position yourself ahead of the curve rather than behind it.