Data Science Manager

Technify Talent Limited
Reading, Berkshire, United Kingdom
Last month
£90,000 – £100,000 pa
Applications closed

Related Jobs

View all jobs
Spotlight

Forward Deployed Engineer

SolveAI London, United Kingdom
Hybrid

Data Science Manager - Logistics

Ocado London, United Kingdom
Hybrid

Data Science Manager - Fulfilment

Ocado United Kingdom
Hybrid

Data Science Lead - Logistics

Ocado London, United Kingdom
Hybrid

Data Science Lead - Fulfilment

Ocado United Kingdom
Hybrid

Senior Technical Program Manager, Professional Services

Databricks London, United Kingdom
On-site

Senior Product Manager, Growth

Multiverse London, United Kingdom
Hybrid

Salary

£90,000 – £100,000 pa

Job Type
Permanent
Work Location
Hybrid
Education
Degree
Posted
21 Apr 2026 (Last month)

Benefits

Bonus

Data Science Manager

Hybrid - 2 days a week - Reading

Up to £100,000 + Bonus

The Opportunity

We’re supporting a high-growth UK technology company building advanced AI-driven systems used in real-world environments where performance, reliability, and accuracy are critical.

This is not your typical data science environment. Their platform combines AI, computer vision, geospatial analytics, and multi-sensor data to operate in complex, real-world scenarios.

They’re now looking for a Data Science Manager to lead a small, high-impact team and shape how data science is applied across the business.

The Role

You’ll lead a team of 4 data scientists (Computer Vision + Geospatial), while remaining hands-on and contributing technically.

This role sits at the centre of the organisation, working closely with software engineers, hardware teams, and domain experts to deliver models that operate in live environments.

What You’ll Be Doing

* Leading and mentoring a team of data scientists across multiple specialisms

* Designing and delivering machine learning and analytics solutions

* Working with multi-sensor datasets

* Developing approaches for data correlation, fusion, and modelling

* Collaborating with engineering teams to deploy models into production systems

* Helping define data science standards, tooling, and best practices

What They’re Looking For

* Experience leading or mentoring data science teams

* Strong background in machine learning and statistical modelling

* Strong programming skills (Python essential)

* Experience working with complex, real-world datasets

* Ability to work cross-functionally with engineering teams

Nice to Have

* Experience with sensor data, computer vision, or geospatial analytics

* Background in hardware-integrated or real-time systems

* Experience deploying models into production environments

If you’d like to learn more about the role, team, or technology, feel free to apply or reach out for a confidential chat

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.