Senior Consultant, Geospatial Data Science

Oxford Policy Management Limited; Oxford; Hybrid; GBP 75,000 - 95,000; Full time

Benefits offered by this job

Hybrid working model

Generous annual leave entitlement

Wellbeing resources and Employee Assoc

Job summary

Oxford Policy Management Limited seeks a Senior Consultant, Geospatial Data Science to shape and deliver geospatial research for policy evaluation. You will fuse traditional and non-traditional data to generate actionable insights and support multidisciplinary teams across international projects.

The role requires a numerate advanced degree and 7+ years in LMIC contexts, with strong R skills and cloud-based analytics experience. Hybrid work options include UK locations or international offices.

Qualifications

• Advanced degree in a numerate discipline (data science, computer science, statistics, economics).
• At least 7 years’ experience in social research or policy analysis in LMIC settings.
• Strong skills in geospatial mapping and analyses and R; knowledge of Python is a plus.
• Experience with cloud computing platforms and big data tools for geospatial analysis.

Responsibilities

• Deliver high-quality geospatial data science work using modern methods.
• Develop analytical pipelines and cloud-based analysis procedures.
• Create interactive visualisations and online tools for policymakers.

Skills

Geospatial analysis

R

Python

Data pipelines

Small Area Estimation

Cloud computing

Education

Advanced degree in data science or numerate field

Tools

Google Earth Engine

AWS

GCP

Dask

Xarray

Job description

Overview

TheResearch and Evidence Practice at Oxford Policy Management is currently seeking a Senior Consultant, Geospatial Data Science on a full-time, permanent basis. The position can be located in any of the following offices on a hybrid basis: Abuja, Addis Ababa, Nairobi;or remotely in the UK.

We are an international development consultancy working to improve lives through sustainable policy change in low- and middle-income countries. Our vision is for fair public policy that benefits both people and the planet.

Through our global network of offices, we work in partnership with national stakeholders and decision makers to research, design, implement and evaluate impactful public policy. We draw on our local and international sector experts to provide the very best evidence-based support. We deliver projects with expert knowledge and experience, and can be relied upon for excellence in all aspects of project delivery. We work collaboratively, with ambition, to help deliver impactful public policy that will bring about lasting change.

Position Summary

Our Data Science team applies modern methods and innovative technology to some of the most pressing challenges in international development. Working across the data and policy cycles, we combine sector expertise, creative technology and a deep understanding of behaviour change and organisational reform to turn complex data into practical insights. The team sits within OPM’s wider Quantitative Methods and Data Science technical area,within the Research and Evidence Practice, and works alongside specialists in quantitative impact evaluation, primary data collection, third-party monitoring, and monitoring, evaluation and learning systems.

As a Senior Consultant in Geospatial Data Science, you will help shape and deliver OPM’s approachin applying data science—particularly geospatial analysis—to research and policy evaluation. You will develop tools that enable policymakers to understand not only what is happening, but where, so they can design better-targeted solutions.Utilising the latest technology to fuse traditional and non-traditionalquantitative researchmethods that examine how publicpolicy initiatives strengthen resilience, your work will help governments and institutions directresources towards communities with the greatest need. With a robust understanding of geospatial mapping and analyses (including Small Area Estimation techniques),the Senior Consultant, Geospatial Data Science will hold primary responsibility for developing this area of our work.

Working in closecollaboration with a diverse range of multi-disciplinaryteamsglobally, the Senior Consultant, Geospatial Data Science bringsan innovative and independentapproach to problem solving and the ability to effectively build relationships with clients and other external partners. They support the wider team in the identification of new business opportunities, design high-quality proposals to win impactful work, and build effective internal relationships that support other OPM colleagues in developing their data science skills and expertise.

As a Senior Consultant, Geospatial Data Science at OPM, you will:

• Deliver high-quality technical work using modern geospatial data science methods. Alongside survey data, you will work with sources not traditionally used in social-science policy analysis in low- and middle-income countries—including text, satellite and mobile imagery, social media and mobile-phone data—to generate policy-relevant insights, often using innovative geospatial analysis approaches.

• Help build and strengthen OPM’s analytical pipelines, developing standard operating procedures for cloud-based analysis and creating accessible online tools such as interactive dashboards and visualisations.

• Support survey and data-collection teams across our international offices to apply state-of-the-art data-collection techniques (including e.g. quantitative surveys or AI-enabled qualitative data collection).

• Apply a strong understanding of the policy challenges facing our clients and partners, together with expertise in data science tools—particularly geospatial engineering—to develop innovative service offerings.

• Contribute to winning new work by shaping compelling, technicalproposals and establishing and nurturing relationships with key external organisations, associates and consultants.

• Lead multidisciplinary teams of OPM colleagues, consortium partners and external expertsin the delivery of high-quality projects that meet and exceed our clients' expectations.

• Coach colleagues around the world through practical, on-the-job learning, and deliver internal seminars that strengthen broader technical capability in data science.

• Collaborate with multidisciplinary teams to explore and expand the application of data science tools in projects related to a broad range of thematic areas including health, governance, poverty and social protection, andclimate.

• Expand the team’s intellectual reputation in data sciences and geospatial analyses by developing journal articles, participating in conferences and engaging actively with the global social data science and international development community.

Key Qualifications / Experience / Skills / Behaviours

• An advanced degree in a numerate discipline (data science, computer science, statistics, economics etc.) or equivalent professionalexperience.

• At least 7 years' experience of working on social research and/or policy analysis within LMIC settings.

• High level understanding of the data landscape in LMICs, including traditional and non-traditional data.

• Exceptionalskills in R. (Strong knowledge of Stata, QGIS, Python is a plus.)

• Advanced understandingof analytical pipelines, especially using R (and/or Python) and related spatial packages to automate geospatial data processing tasks.

• Substantive experience in the application ofinnovative data science techniques, in particular geospatial modelling (e.g. Bayesian frameworks using INLA, timeseries analysis for anomaly detection).

• Experience in developing and delivering Small Area Estimation (using both survey and census as well as other geospatial data) projects.

• Experience with cloud computing platforms, such as Google Earth Engine, AWS, Google Cloud Platform, and big data processing tools for geospatial analysis (e.g. Dask and Xarray).

• Authentic passion fordeveloping new techniques, and forworking with interdisciplinary teams to adopt and deploy them.

• Excellent attention to detail and analytical rigour.

• Switches comfortably between detail and the bigger picture, joined up thinking and approach to providing solutions.

• Good at prioritising changing and competing demands and tasks, while consistently delivering quality work.

• Excellent problem solving, organising and management skills.

• Strong interpersonal and communication skills; collaborative and constructive approach to working with others, builds effective relationships internally and externally.

• Experience in translating complex spatial analyses into clear visualisations for technical and non-technical audiences.

Desirable Qualifications/Experience/Skills/Behaviours

• Experience in remote sensing and earth observation: Processing and analyzing satellite data (e.g. Sentinel, Landsat) for environmental monitoring, land-use dynamics, and ecosystem health.

• Experience with big data handling, parallel computing, and working on the cloud in an Azure environment.

• Further skills in other quantitative methodologies of interest to the team (e.g. quantitative impact evaluation methods, AI for evaluation).

• Fluency in languages additional toEnglish.

Our Offer

• We enable colleagues’ capacity to grow professionally through enhanced learning resources, opportunities to work cross functionally, and space to engage with a range of internal and external industry events.
• Our non-hierarchical culture values support, collaboration, intellectual curiosity, and a rich diversity of perspectives.
• We provide an exceptionally generous annual leave entitlement and a hybrid working model to encourage and enable healthy work/life balance.
• Wellbeing resources including a global Employee Assistance Programme and access to the UnMind app.
• Competitive salary and contributory pension scheme.

We are strengthened by the diversity of colleagues across our global business and are committed to being an equal opportunities employer, promoting a diverse and inclusive workplace for all.

Our recruitment practices reflect our ambition to make the international development sector more inclusive and firm belief that our work delivers the best outcomes when we actively include a diversity of perspectives and experiences.

Application

Unfortunately, we are unable to provide visa sponsorship for this role and candidates must have a pre-existing right to work in Ethiopia, Kenya, Nigeria or the UK for their application to be considered.