Data Science Manager

Technify Talent Limited

Reading, Berkshire, United Kingdom

Last week

£90,000 – £100,000 pa

Salary

£90,000 – £100,000 pa

Job Type: Permanent
Work Location: Hybrid
Seniority: Senior
Education: Degree
Posted: 21 Apr 2026 (Last week)

Benefits

Bonus

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Salary

£90,000 – £100,000 pa

Job Type: Permanent
Work Location: Hybrid
Seniority: Senior
Education: Degree
Posted: 21 Apr 2026 (Last week)

Benefits

Bonus

Save job

Create job alert

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

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