This role is part of Accenture Research’s Economics of AI center of excellence.

We are looking for a candidate with experience in economic analysis as well as in data-based applied economics, relying on advanced econometrics.

The candidate will be working closely with other teams of economists, data scientists, market researchers, and industry experts to guarantee a successful collaboration between data-driven outputs and storytelling deliverables.

The ideal candidate has a passion for economics and data-driven insight discovery as well as business acumen to help solve the world’s most complex problems at the intersection of business, technology, and society.

We offer a career aligned to our priority of creating innovation and impact, managing complex data driven research projects, with multinational and multidisciplinary teams. Our projects cover topics related to technology adoption, enterprise reinvention, business resilience, and the future of work, and have included collaborations with the World Economic Forum, Harvard and MIT, leading regional and multinational industry associations, ecosystem partners and NGOs.

Key Responsibilities include:

Frame economic research problems at the intersection of economics, business, and technology.
Conduct quantitative economic research to support client engagements, thought leadership, and internal strategic initiatives around technology transformation, AI adoption, firm productivity, enterprise reinvention, and the future of work.
Collect, clean, and validate large datasets, ensuring methodological accuracy and reproducibility.
Analyze large datasets using advanced statistical and econometric techniques to assess relationships between variables and predict outcomes.
Develop and maintain economic models, forecasts, simulations, and analytical frameworks to assess industry and firm level trends and generate data-based insights.
Contribute to the design and continuous improvement of research methodologies, data pipelines, and analytical tools.
Collaborate with multidisciplinary teams to integrate economic analysis into broader business, strategy, and transformation projects.

#LI-LATAM

Experience and skills:

Excellent critical thinking and problem-solving skills, including the ability to formulate research questions, evaluate evidence, and develop robust conclusions.
Strong knowledge of microeconomics, macroeconomics, and applied economics, with the ability to apply economic theory to business problems.
Proven experience in advanced econometrics (cross-section, time-series, panel, forecasting), causal inference, and statistical machine learning (e.g. tree ensembles).
Ability to make sense out of different data types (unstructured, vendor, high frequency, text based, survey based)
Proficiency in Python.
Experience in writing reusable code and datasets
Experience in dataset manipulation (e.g. SQL)
Experience using generative AI to address research questions
Experience setting up structural and formal models to model agents’ behavior and microeconomic foundations
Strong interest in the economic research agenda as well as in global business themes such as technology innovation and disruption
Strategic problem solver
Excellent communication (written and oral) and interpersonal skills
Strong professional qualities: client focus, decisiveness, integrity, resilience to stress against stretch goals and deadlines
Ability to work in a global, multi-cultural team
Excellent English.

Additional Information

Reports to: Economic Research Senior Principal
Qualifications: BA in Economics required. Master’s degree in Economics, Applied Economics, Data Science, Statistics, Business Administration, or a closely related quantitative discipline is a plus.
Work Experience:

4+ years of relevant economic research experience
Global / large private corporation or institution, research think tank, or recognized research government agency

Location: Buenos Aires

Preferred start date: As soon as possible

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