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 Belfast, Boston, Cape Town, Chicago, Dubai, Frankfurt, Hong Kong, Houston, Johannesburg, Los Angeles, Melbourne, Mexico City, Milan, Paris, Philadelphia, Sydney, Tokyo, and Toronto. We employ 400 full-time staff, including more than 250 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.
Oxford Economics is a key adviser to corporate, financial and government decision-makers and thought leaders. Our worldwide client base now comprises over 2,000 international organisations, including leading multinational companies and financial institutions; key government bodies and trade associations; and top universities, consultancies, and think tanks.
About the role
We are looking to hire a Head of Data Science Consulting to join the consulting directorate of Oxford Economics. The team tackles a wide range of questions raised by our clients, from evaluating the drivers of scientific productivity, quantifying the implications of restricting competition in the network equipment market for 5G, assessing the impact of an online sales tax and using data from a major retailer to understand trends in regional economies in real-time.
This role will be based within the Economic Impact consulting division. The individual will operate in a cross-cutting fashion providing quality assurance and analytical support on research spanning across the division’s six operational teams which currently encompass around 55 economists.
As well as this leading analytical role, the Head of Data Science Consulting’s primary duties will be as follows:
- Provide quality assurance and operational support for certain projects particularly those involving advanced econometrics and/or data science techniques.
- Contribute to business development through their support of proposal work and the development of new ideas that can be pitched to clients.
- Manage initiatives designed to boost the efficiency and improve the quality of the work done by the economic impact and other consulting groups.
The post-holder will report to the Director of Economic Consulting.
Key elements of the role include the following:
- Ensuring robust and rigorous economic analysis in the delivery of consultancy projects;
- Providing detailed quality assurance to ensure that work across the consulting unit adheres to the company’s reputation for analytical excellence;
- Applying and assuring quantitative analytical techniques as applied to large datasets;
- Leading the analytical research of projects which require advanced economic or econometric modelling techniques;
- Supporting business development through the development of creative solutions to potential clients’ more novel and complex economic questions;
- Being entrepreneurial and proactive in the identification and pursuit of new business opportunities.
This exciting role would suit someone with at least 10 years’ experience as a professional economist. The successful candidate will be rigorous, adaptable and creative in seeking solutions to difficult economic questions. They should also have the following attributes.
- A post-graduate degree in economics or a related field;
- A track-record of contributing to and leading high-quality quantitative economic research;
- Familiarity with elements of machine learning, natural language processing, data infrastructure, and version control systems;
- Experience of client-facing work and the ability to develop commercial relationships with potential clients;
- Proficiency in programming languages (e.g., R/Python/Matlab); and
- Excellent attention to detail and a commitment to going the extra mile to produce rigorous, accurate work, within the constraints of the time and resources available.
- Strong written and verbal communication, including the ability to explain economic concepts and quantitative results, as well as their implications, to non-specialists;
- A deep understanding of economic theory and the ability to apply it to answer policy and commercial questions;
- Experience compiling novel datasets using quantitative techniques;
- Experience with causal inference and experimentation methods, such as difference in difference, matching, regression discontinuity designs, instrumental variables, probabilistic modelling, dynamic optimisation and reinforcement learning; and
- Familiarity with analytical techniques such as IO modelling and cost-benefit analysis.
Location: Oxford Economics’ London office at 4 Millbank, Westminster, London, SW1P 3JA.
How to Apply
To apply for the role, please submit a CV, example of past work, and covering letter, detailing how you meet the person specification and where you have relevant experience of elements and attributes of the role. The closing date for applications is July 29 2022.
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, colour, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.Apply now
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