Future Tech Jobs Future Tech Jobs

Geospatial Data Scientist

Technify Talent Limited
Reading, Berkshire, United Kingdom
Today
£70,000 – £80,000 pa

Salary

£70,000 – £80,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
Remote
Seniority
Mid
Education
Degree
Posted
26 May 2026 (Today)

Benefits

Bonus
Share
Save job
Create job alert

Geospatial Data Scientist

Remote (UK-based)

Up to £80,000 + Bonus

The Opportunity

We’re partnered with a growing technology business developing advanced data-driven systems that operate in complex, real-world environments.

Their work sits at the intersection of geospatial analytics, machine learning, and multi-source data, tackling challenging problems around data correlation, tracking, and real-time decision-making.

They’re now looking for a Geospatial Data Scientist to play a key role in solving these problems and shaping how spatial data is used across their platform.

The Role

You’ll be working as part of a newly formed data science team, focusing on spatial analytics and multi-sensor data fusion.

This role sits at the intersection of machine learning, geospatial data, and mathematical modelling, with a strong emphasis on solving real-world problems.

What You’ll Be Doing

* Developing algorithms for spatial data correlation and fusion

* Analysing and integrating multi-sensor datasets (radar, LiDAR, RF, imagery, etc.)

* Building machine learning models for classification, regression, and tracking

* Applying statistical techniques to quantify uncertainty and improve predictions

* Performing feature engineering and dimensionality reduction on spatial data

* Building tools to visualise and validate model outputs

* Working closely with engineers to deploy models into production systems

What They’re Looking For

* Strong background in geospatial / spatial data science

* Experience working with Python and geospatial libraries (GeoPandas, GDAL, Rasterio etc.)

* Solid understanding of machine learning and statistical modelling

* Experience working with complex or large-scale datasets

* Ability to work in a cross-functional engineering environment

Nice to Have

* Experience with sensor data (radar, LiDAR, satellite, RF, etc.)

* Knowledge of tracking or filtering techniques (e.g. Kalman Filters, Bayesian methods)

* Background in remote sensing or sensor fusion

* Experience deploying models into production systems

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

Related Jobs

View all jobs

Staff Data Scientist

Data Idols London, United Kingdom
£120,000 – £140,000 pa Hybrid

Lead Data Scientist

Technify Talent Limited United Kingdom
£80,000 – £90,000 pa Remote

Data Scientist - Product focused (Python)

Adecco Bristol, Bristol (county), United Kingdom
Hybrid

Geospatial Engineer

Arup London, 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.