Senior Geospatial Data Scientist (Remote/Hybrid UK)

Oxford Policy Management; United Kingdom; Hybrid; GBP 70,000 - 95,000; Full time

Benefits offered by this job

Enhanced learning resources

Cross-functional collaboration

Generous annual leave entitlement

Employee wellbeing resources

Contributory pension

Competitive salary

Job summary

Oxford Policy Management seeks a Senior Consultant, Geospatial Data Science to lead cutting-edge spatial analysis for policy evaluation. The role blends geospatial engineering with traditional social science methods and supports clients across LMIC contexts while enabling remote and UK-based collaboration on a hybrid basis.

You will develop analytical pipelines, implement cloud-based tools, and mentor teams, shaping innovative service offerings and contributing to impactful public policy

Qualifications

• Advanced degree in a numerate discipline or equivalent professional experience.
• 7+ years of social research or policy analysis in LMIC settings.
• Strong understanding of data landscapes in LMICs (traditional and non-traditional).
• Exceptional skills in R; knowledge of Stata, QGIS and Python is a plus.
• Advanced understanding of analytical pipelines using R (and/or Python) and spatial packages.
• Experience in geospatial modelling (e.g., Bayesian INLA) and timeseries analysis.
• Experience with Small Area Estimation using survey/census geospatial data.
• Experience with cloud platforms (GEE, AWS, GCP) and big data tools (Dask, Xarray).
• Passion for developing new techniques and interdisciplinary collaboration.
• Attention to detail and analytical rigor.
• Strong problem solving and communication; ability to translate to non-technical audiences.

Responsibilities

• Deliver high-quality geospatial data science work using modern methods.
• Develop accessible online tools such as dashboards and visualisations.
• Support survey and data-collection teams with modern techniques.
• Develop innovative service offerings from data science capabilities.
• Contribute to winning work through technical proposals and client relationships.
• Lead multidisciplinary teams to deliver high-quality projects.
• Coach colleagues and deliver internal seminars to build capability.
• Collaborate to expand data science applications across health, governance, poverty, climate.
• Publish journal articles and engage with the global data science community.

Skills

Geospatial data science

LMIC policy analysis

R programming

Python programming

Geospatial modelling

Small Area Estimation

Data pipelines

Data visualization

Project leadership

Stakeholder engagement

Cloud computing

Education

Advanced degree in numerate discipline or equivalent

Tools

R

Stata

QGIS

Python

Google Earth Engine

AWS

Google Cloud Platform

Dask

Xarray

SQL

Job description

Oxford Policy Management seeks a Senior Consultant, Geospatial Data Science to lead cutting-edge spatial analysis for policy evaluation. The role blends geospatial engineering with traditional social science methods and supports clients across LMIC contexts while enabling remote and UK-based collaboration on a hybrid basis.

You will develop analytical pipelines, implement cloud-based tools, and mentor teams, shaping innovative service offerings and contributing to impactful public policy