Field applications scientist Work, Jobs in London, Eng (with Salaries)

Spatial Data Scientist
Oxford Economics —London
- Full-time
- Hybrid work
- Data analysis skills
- Machine learning
- APIs
- Employee assistance programme
Recording Participant (Expert)
Aloe Studios London —London
- £50 an hour
- Temporary
- Doctoral degree
- Engineering
- Public speaking
Quick apply
Field Applications Scientist, HPLC & LCMS - UK, Ireland or Nordics, EMEA North
Thermo Fisher Scientific —Hemel Hempstead
- Full-time
- Sales
- Customer service
- English
1d
Research Scientist/Engineer (Agentic Systems)
White Circle —London
- £150,000 - £250,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- English
- Relocation assistance
- Annual leave
Technical Support Specialist
Intelligent Imaging Innovations —London
- From £40,000 a year
- Engineering
- Bachelor's degree
- No degree
Project Management/PMO Consultant - Defence & Security
PA Consulting —London
- Full-time
- Hybrid work
- PMP
- Analysis skills
- Project management
- Annual leave
Quick apply
Technical Application Scientist, Europe/UK
Parse Biosciences —London
- Remote
- Google Suite
- Data analysis skills
- Microsoft Office
Quick apply
Applied Scientist, Alexa International Tech
Amazon Development Centre (London) Limited —London
- Full-time
- Doctoral degree
- Java
- Master's degree
Director Health Economics & Outcomes Research (HEOR)
BioNTech AG —London
- £168,100 - £268,700 a year
- Full-time
- Doctoral degree
- Master's degree
- Presentation skills
Director, Global Clinical Physician, Late Hematology, Oncology, and Cell Therapy (HOCT)
Bristol-Myers Squibb —Uxbridge
- Full-time
- Hybrid work
- Patient monitoring
- Travel
- In-person
Graduate Programme 2027: Data Scientist and Analyst
Revolut —London
- £10,800 a month
- Full-time
- Hybrid work
- English
- SQL
- Maths
Applied Scientist, Agentic Automated Reasoning
Amazon Development Centre (London) Limited —London
- Full-time
- Doctoral degree
- Java
- AWS
Quantitative Product Specialist
PEI Group —London
- Doctoral degree
- Master's degree
- Presentation skills
Research Scientist (AI Behaviours)
White Circle —London
- £150,000 - £250,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- English
- Relocation assistance
- Annual leave
R&D Scientist, Quantum Algorithms - 905
Quantinuum —London
- Full-time
- Hybrid work
- Doctoral degree
- Maths
- IT
- Annual leave
7d
Water Scientist – Nature Based Solution
Zora Ecosystems —London
- Doctoral degree
- Data analysis skills
- AWS
Quick apply
Physical AI Data Scientist - QuantumBlack Labs
McKinsey & Company —London
- Microsoft Powerpoint
- Doctoral degree
- Laboratory experience
Senior Data Scientist - (Privacy & Security Controls)
Our Future Health —London
- From £80,000 a year
- Full-time
- Hybrid work
- Machine learning
- Communication skills
- Python
- Employee assistance programme
- Referral programme
Quick apply
Internship Programme 2027: Data Scientist and Analyst
Revolut —London
- Full-time
- Hybrid work
- Computer Science
- English
- Master's degree
Senior Manager, Patient Safety Scientist
Bristol-Myers Squibb —Uxbridge
- Full-time
- Hybrid work
- Doctoral degree
- Master's degree
- Analysis skills

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Spatial Data Scientist

Oxford Economics -
London

Apply Now

Job details

Full-time

Benefits

Cycle to work scheme
Employee assistance programme
Private medical insurance
Enhanced maternity leave
Enhanced paternity leave

Qualifications

Economics
Geography
Data analysis skills
Git
Machine learning
Data pipeline
APIs
Data science
Communication skills
Python

Full job description

Oxford Economics is a global leader in city and regional economic analysis, combining advanced data science with deep economic expertise. Our Cities Team forecasts thousands of locations worldwide, integrating economic models with geospatial analytics to drive decision-making across real estate, financial services, government, and beyond. We are seeking a Spatial Data Scientist to contribute to our growing portfolio of location intelligence research and geospatial modelling work.

The role sits at the intersection of economics, spatial data science, and geospatial analysis. You will work alongside economists, data scientists, and software engineers to develop innovative datasets, forecasting methodologies, and location intelligence products that help clients understand how cities and regions develop. The role combines applied quantitative analysis, spatial modelling, data engineering, and product development — with exposure to a global client base across both subscription services and bespoke consultancy projects.

Department

Cities & Regions

Employment Type

Full Time

Location

London, UK

Workplace type

Hybrid

Key Responsibilities

Design and build spatial economic models to analyse urban economic performance, spatial disparities, and geographic drivers of economic activity
Contribute to the development of city, regional, and sub-national forecasting methodologies.
Build and maintain Python-based data pipelines to process, integrate, and analyse large geospatial datasets.
Work with a wide range of data sources, such as Census data, satellite-derived indicators, global buildings and transport datasets, administrative boundaries, and Oxford Economics forecasts
Apply machine learning techniques for classification and regression tasks on spatial and economic data
Conduct advanced spatial analyses, like geographically weighted regression, spatial autocorrelation analysis, and spatial autoregressive modelling
Support the development of scalable location intelligence products, digital tools, and analytical workflows. Contribute to location intelligence tools and products, including map-based visualisations and interactive dashboards
Prepare clear written outputs to communicate technical findings to non-specialist audiences
Collaborate across the Cities Team and with other Oxford Economics teams on cross-functional projects

Skills, Knowledge & Expertise

We are open to candidates at an early-to-mid career stage, including those with postgraduate research experience, who can demonstrate strong quantitative and programming skills alongside an interest in cities, regions, and economic analysis. We are looking for someone technically capable, curious, and keen to develop in a research-led environment.

Degree in economics, geography, data science, statistics, or a closely related discipline (postgraduate preferred)
Strong proficiency in Python for spatial data analysis. Experience working with packages like geopandas, shapely, polars, folium, duckdb, OSMnx and developing modern version-controlled workflows using Git or similar systems.
Experience working with vector/raster data, spatial indexing, and coordinate reference systems Experience building reproducible analytical workflows and data pipelines.
Knowledge of socioeconomic concepts relevant to sub-national analysis is highly desirable
Experience working with APIs, cloud-hosted datasets, or large tabular/geospatial data at scale
Competent with data visualisation tools
Strong written communication: ability to distil technical results into clear, accessible outputs
Ability to manage own workload across multiple concurrent projects
Genuine interest in cities, regions, urban economics, location intelligence, or related fields.

Desirable extras: Knowledge of economics, economic geography, urban economics, regional economics, or economic forecasting. Experience with geospatial APIs (Mapbox, Google Maps Platform, OpenStreetMap, R5), exposure to EViews or similar econometric software, or experience building interactive web tools.

How to apply

Please submit a covering letter and CV. Your covering letter should explain how you meet the requirements above and include a brief example of a spatial analysis or data science project you have completed — academic, professional, or personal. We welcome applications from candidates who may not tick every box but can demonstrate strong technical ability and genuine enthusiasm for the intersection of economics and geospatial data.

Job Benefits

Here are some of the benefits we offer in the UK to ensure you feel valued, supported, and thrive at work:

- Private Healthcare

- Employee Assistance Program

- Enhanced Maternity and Paternity Leave

- Workplace Nursery Scheme

- Cycle to Work Scheme

- Hybrid/Flexible Working

- Team Gatherings and Connection Boost!

About Oxford Economics

Oxford Economics was founded in 1981 as a commercial venture with Oxford University’s business college to provide economic forecasting and modelling to UK companies and financial institutions expanding abroad. Since then, we have become one of the world’s foremost independent global advisory firms, providing reports, forecasts and analytical tools on more than 200 countries, 250 industrial sectors, and 7,000 cities and regions. Our best-of-class global economic and industry models and analytical tools give us an unparalleled ability to forecast external market trends and assess their economic, social and business impact.

Headquartered in Oxford, England, with regional centres in London, New York, and Singapore, Oxford Economics has offices across the globe in more than 15 cities. We employ more than 400 professional economists, industry experts and business editors—one of the largest teams of macroeconomists and thought leadership specialists. Our global team is highly skilled in a full range of research techniques and thought leadership capabilities, from econometric modelling, scenario framing, and economic impact analysis to market surveys, case studies, expert panels, and web analytics.

Apply Now

Refine Your Search

field applications scientist jobs in london, eng

Spatial Data Scientist

Recording Participant (Expert)

Field Applications Scientist, HPLC & LCMS - UK, Ireland or Nordics, EMEA North

Research Scientist/Engineer (Agentic Systems)

Technical Support Specialist

Project Management/PMO Consultant - Defence & Security

Technical Application Scientist, Europe/UK

Applied Scientist, Alexa International Tech

Director Health Economics & Outcomes Research (HEOR)

Director, Global Clinical Physician, Late Hematology, Oncology, and Cell Therapy (HOCT)

Graduate Programme 2027: Data Scientist and Analyst

Applied Scientist, Agentic Automated Reasoning

Quantitative Product Specialist

Research Scientist (AI Behaviours)

R&D Scientist, Quantum Algorithms - 905

Water Scientist – Nature Based Solution

Physical AI Data Scientist - QuantumBlack Labs

Senior Data Scientist - (Privacy & Security Controls)

Internship Programme 2027: Data Scientist and Analyst

Senior Manager, Patient Safety Scientist

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