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Selected role

(Sr.) Economist / Data Scientist - EMEA Macro Consulting - Belfast

Oxford Economics Belfast, NIR, GB

Senior Full-time

Description

Oxford Economics, a leading economic forecasting and consulting firm, is seeking a motivated and ambitious Economist or Senior Economist (or Data Scientist) to join our growing EMEA Macro Consulting team, based in Belfast or remote.

The role focuses on applying econometrics and data science for macroeconomic analysis and market forecasting for companies and public sector clients across EMEA, as part of consulting projects, helping clients to understand economic developments and the implications for their business.

The successful candidate will work across a range of consulting projects, supporting clients with econometric and data science analysis, macroeconomic insight, market forecasts, and risk analysis. The role requires strong Excel and data science skills, alongside strong applied experience in time-series and cross-sectional econometrics. Candidates should be able to independently design, estimate, validate, and interpret economic and machine learning models for forecasting and scenario analysis. Familiarity with Python and/or R is required.

The role offers strong skill development and career progression opportunities, with scope to learn from and work closely with experienced economists, econometricians and data scientists from across Oxford Economics’ wider UK and global network and take on greater responsibility over time depending on individual performance and business needs.

**Key Responsibilities

Project Delivery**

Contribute to the delivery of consulting projects by producing high-quality economic and econometric analysis, forecasts, and supporting materials including reports and presentations
Independently design, estimate, and interpret time-series econometric models for forecasting, scenario analysis, and stress testing
Apply quantitative data science techniques to large scale macroeconomic and market datasets using Python and/or R, alongside Excel-based tools
Present aspects of analytical work in internal and client-facing meetings, tailored to both non-technical and technical business audiences
Ensure project deliverables are clear, accurate, and appropriately structured for different client audiences

Client Engagement

Contribute to client discussions, presentations, and meetings, helping explain analysis including econometric results, forecasts, and implications for business decision-making
Respond to client questions with clear and timely inputs

**Skills, Knowledge & Expertise

Essential

Language & Communication**

Ability to communicate complex economic, econometric and quantitative data science information clearly to non-specialist audiences
Ability to produce high-quality project deliverables with appropriate structure and clarity
Strong verbal and written communication skills in English
Ability to collaborate with colleagues across different offices and locations

Education & Professional Experience

Degree in Economics, Finance, Data Science, or a related quantitative discipline, such as Econometrics, Statistics, or Applied Mathematics
Minimum 2 years of professional experience in an analytical (data science, econometrics etc), consulting, or research role for the Economist/Data Scientist role, and longer (3+ years) for the Senior Economist/Senior Data Scientist role
Demonstrated experience independently delivering end-to-end analytical work, including data preparation, time-series econometric and machine learning model development, validation, and interpretation, applied to forecasting, scenario analysis, or stress testing
Strong understanding of the economic theory underpinning time-series methods, including model specification, assumptions, and limitations, with experience delivering project-based outputs to deadlines

Technical & Operational Skills

Strong analytical and quantitative skills, with experience working with large scale macroeconomic and market datasets
Experience in econometrics and programming in Python and/or R for applied time-series analysis and forecasting
Strong Excel skills for analysis and econometric and machine learning modelling
High attention to detail and a structured, task-oriented approach to work

Desired

Experience in a client-facing role, including responding to client queries and contributing to the development of commercial relationships
Experience developing econometric and machine learning models for applying macroeconomic or market forecasts to assess business, sector, or market outcomes

Career Development

This role offers significant opportunities for professional growth, including:

Accelerated career progression based on performance and achievement of KPIs
Opportunities to work with and across Oxford Economics consulting teams and global offices
Exposure to a wide range of projects shaping how leading multi-national companies and organisations make decisions
Opportunities to deepen technical skills in forecasting and quantitative analysis
Development of client-facing consulting and commercial skills

Competencies

The successful candidate will demonstrate:

Analytical and problem-solving: Ability to interpret macroeconomic and market data, assess implications for clients, and form clear, well-reasoned conclusions grounded in economic theory
Quantitative and econometric skills: Ability to design, estimate, and interpret regression-based and time-series models using quantitative and data science techniques, assess robustness, and support forecasting and scenario analysis
Attention to detail: High standard of accuracy and consistency in analysis, data handling, and client deliverables
Client focus: Commitment to delivering high-quality work and supporting clients in understanding economic developments and their business implications
Communication: Ability to explain complex economic concepts clearly and confidently to non-specialist audiences, both verbally and in writing
Collaboration: Ability to work effectively across teams, functions, and geographies

Job Benefits

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

Fast career progression
On-the-job training and access to external training courses
Potential of secondment to our global offices
Regular team gatherings, team and company socials
Volunteering days and full-company offsites
Private Healthcare
Salary sacrifice pension scheme
Employee Assistance Program
Enhanced Maternity and Paternity Leave
Workplace Nursery Scheme
Cycle to Work Scheme
Hybrid/Flexible Working

Equal Employment Opportunity (EEO)

Oxford Economics is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.

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.

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