Future Tech Jobs Future Tech Jobs

Head of Analytics and Data Science

Harnham - Data and Analytics Recruitment
London, United Kingdom
Today
£100,000 – £140,000 pa

Salary

£100,000 – £140,000 pa

Job Type
Permanent
Work Location
Hybrid
Seniority
Director
Education
Degree
Posted
3 Jun 2026 (Today)

Benefits

Bonus Competitive benefits package
Share
Save job
Create job alert

Head of Analytics and Data Science


London, hybrid (2 to 3 days per week)

The Company
They are a well known, consumer focused organisation operating across multiple business units and partner networks. Despite strong brand recognition, the central team operates with a lean, agile, and entrepreneurial mindset similar to a scale up. Data is a key focus area, with significant investment in building a modern, insight driven organisation. Their work spans loyalty programmes, customer engagement, and commercial performance.

The Role
You will lead the combined Analytics and Data Science function, with responsibility for strategy, delivery, and stakeholder engagement across the business.

Key responsibilities include:
* Bringing together separate Analytics and Data Science teams into a unified function
* Leading and developing a team of managers and specialists across analytics and data science
* Setting the roadmap for customer focused data initiatives, including loyalty and pricing optimisation
* Driving adoption of self service analytics and improving data accessibility across the organisation
* Leading the overhaul and optimisation of dashboards and reporting frameworks
* Partnering with senior stakeholders across multiple business units to influence decision making

Your Skills and Experience
* Strong commercial experience leading both Analytics and Data Science functions
* Proven ability to define and execute data strategies in consumer focused organisations
* Experience delivering data transformation programmes, including self service analytics and reporting improvements
* Background in customer analytics, loyalty, or pricing related use cases
* Strong stakeholder management skills, with experience influencing senior leadership
* Solid technical grounding in data science and analytics, with the credibility to guide teams and review outputs

What They Offer
* Bonus and competitive benefits package
* Hybrid working model with a central London office
* Opportunity to shape a key function within a growing data organisation
* High visibility role with influence across multiple business areas
* Clear scope to drive transformation and long term impact

How to Apply
If you are interested in leading a data function at the intersection of analytics, data science, and AI, apply now to find out more.

Related Jobs

View all jobs

Head of Data Science

Harnham - Data and Analytics Recruitment Leicester, LE1 5YA, United Kingdom
£11,000 – £130,000 pa On-site

Lead Solutions Architect (Digital Natives Business)

Databricks London, United Kingdom

Head of Data Sourcing

JobHeron London, United Kingdom
On-site

Data Scientist (open to Advanced Analytics backgrounds)

Harnham - Data and Analytics Recruitment Merseyside, United Kingdom
£40,000 – £50,000 pa Hybrid

AI Automation Engineer

Harnham - Data and Analytics Recruitment London, United Kingdom
£80,000 – £100,000 pa Hybrid

Senior Data Product Manager

Capital One Le113Hl, LE11 3HL, United Kingdom
Hybrid

Industry Insights

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

Products

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Jobs

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

Data Science Jobs UK 2026: roles, salaries and the trends shaping UK data science hiring over the next three years — from MLE crossover to GenAI workflows. Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

🍪 Basic, anonymous analytics (aggregate counts only, never shared) are always on. Accept to also enable third-party tools — Google Analytics, Microsoft Clarity, Mixpanel, Leadfeeder — which help us match you with relevant Data Science roles. We never sell your data or use it for cross-site advertising. See our Cookie Policy.