Accenture

Accenture

Posted via Workday

Economic Research Specialist

Posted Sep 15, 2026

Role at a glance

Job function
AI & Data Data Science
Salary
Not Disclosed
Location
Buenos Aires
Work arrangement
On-site
Employment
Full-time
Experience
4+ years of relevant economic research experience in global / large private corporation or institution, research think tank or...
Education
BA in Economics is a must. Master’s degree in Economics, Applied Economics, Business Administration, Data Science is a plus.

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Role Summary

AI-generated

This role is part of Accenture Research’s Economics of AI center of excellence and Economic Research team. It supports applied economic research at the intersection of economics, business, technology, and society, translating data and model outputs into insights for business and research stakeholders while collaborating with economists, data scientists, market researchers, and industry experts.

What You'll Do

  • Frame economic research problems.
  • Help design and execute economic research at the intersection of economics, business, and technology.
  • Develop data-driven approaches for research projects covering themes such as GenAI adoption, productivity analysis, geopolitical...
  • Set up economic models, develop reusable code, and build datasets for applied economics research.
  • Collaborate in raising awareness and understanding of economic and data science research tools and outputs within Accenture and...

Generated from the employer's posting. Verify important details before applying.

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Qualifications

BA in Economics; 4+ years of relevant economic research experience; excellent written and spoken English; strong analytical, communication, and interpersonal skills; ability to interpret different data types and draw clear insights; proficiency in Python or similar object-oriented programming languages; knowledge of text-based analysis with LLMs; experience writing reusable code and datasets; ability to work in a global, multi-cultural team.

Required

  • BA in Economics
  • 4+ years of relevant economic research experience
  • Excellent written and spoken English
  • Strong analytical skills, including structuring problems, interpreting data, and drawing clear insights
  • Ability to make sense of unstructured, vendor, high-frequency, text-based, and survey-based data
  • Proficiency in Python or similar object-oriented programming languages
  • Knowledge of text-based analysis with LLMs and interest in applying them to research questions
  • Experience in writing reusable code and datasets

Preferred

  • Master’s degree in Economics, Applied Economics, Business Administration, or Data Science
  • Exposure to data science practices, including data manipulation, SQL, quality assurance practices, and familiarity with cloud-based...

Original job description

Content provided by the employer

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

We are looking for a candidate with experience in economic and macroeconomic analysis, including setting up economic models, developing reusable code, and building datasets for applied economics research. The ideal candidate will be able to connect macroeconomic trends with industry dynamics and enterprise-level implications, translating data and model outputs into relevant insights for business and research stakeholders.

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 economics, 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 rapid response and business resiliency, economics of AI, the future of work, sustainability, technology transformation 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
• Help in the design and execution of groundbreaking and differentiated economic research at the intersection of economics, business and technology
• Develop novel data-driven approaches to support current and future research projects. Support global research projects on themes aligned to Accenture priorities: GenAI adoption, frontier AI models, productivity analysis, geopolitical competition, enterprise reinvention, industry trends, and the future of work
• Collaborate in raising awareness and understanding of economic and data science research tools and outputs within Accenture and Accenture Research (econometric modeling, text analytics, sentiment analysis, data-wrangling, machine learning, generative AI)

Experience and skills:

• Excellent written and spoken English.
• Strong analytical skills, with the ability to structure problems, interpret data, and draw clear insights.
• Proven ability to make sense out of different data types (unstructured, vendor, high frequency, text based, survey based)
• Proficiency in Python or similar object-oriented programming languages. Exposure to data science practices is a plus, including data manipulation, SQL, quality assurance practices, and familiarity with cloud-based platforms such as GCP.
• Knowledge of text-based analysis with LLMs and interest in applying them to research questions.
• Experience in writing reusable code, and datasets
• Strong interest in the economic research agenda, including Economics, Labor, Technology and Business analytics .
• 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, and delivery discipline.
• Ability to work in a global, multi-cultural team


Additional Information

Reports to:   Economic Research Senior Manager
Qualifications: BA in Economics is a must. Master’s degree in Economics, Applied Economics, Business Administration, Data Science is a plus.
Work Experience:  4+ years of relevant economic research experience in global / large private corporation or institution, research think tank or recognized research government agency
Location: Buenos Aires

Preferred start date: As soon as possible

Experience and skills:

• Excellent written and spoken English.
• Strong analytical skills, with the ability to structure problems, interpret data, and draw clear insights.
• Proven ability to make sense out of different data types (unstructured, vendor, high frequency, text based, survey based)
• Proficiency in Python or similar object-oriented programming languages. Exposure to data science practices is a plus, including data manipulation, SQL, quality assurance practices, and familiarity with cloud-based platforms such as GCP.
• Knowledge of text-based analysis with LLMs and interest in applying them to research questions.
• Experience in writing reusable code, and datasets
• Strong interest in the economic research agenda, including Economics, Labor, Technology and Business analytics .
• 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, and delivery discipline.
• Ability to work in a global, multi-cultural team


Additional Information

Reports to:   Economic Research Senior Manager
Qualifications: BA in Economics is a must. Master’s degree in Economics, Applied Economics, Business Administration, Data Science is a plus.
Work Experience:  4+ years of relevant economic research experience in global / large private corporation or institution, research think tank or recognized research government agency
Location: Buenos Aires

Preferred start date: As soon as possible

-- CV in English ONLY --

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

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Accenture

About the company

Accenture

Large Enterprise

Accenture is a global professional services company that specializes in providing consulting, technology, and outsourcing services. With a diverse range of industries served, including financial services, healthcare, and telecommunications, Accenture leverages advanced technologies and data analytics to help organizations improve their performance and drive innovation. Committed to sustainable progress, the company emphasizes its dedication to inclusivity, digital transformation, and building a more sustainable future for its clients and communities. With a presence in over 120 countries, Accenture is known for its expertise in integrating cutting-edge solutions that address complex business challenges.