About the role
This role is part of Accenture Research’s global innovation team with a focus on economic research.
The candidate will be working closely with other teams of economists, data scientists, and the data visualization team to guarantee a successful collaboration between data-driven outputs and storytelling deliverables.
We are looking for a candidate with experience in economic analysis, setting up econometric and structural models, and data science, using data manipulation languages and techniques, quality assurance, and API and cloud-based platforms.
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 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
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)
Support global research projects on themes aligned to Accenture priorities (total enterprise reinvention, talent and workforce transformation, sustainability, etc.)
#LI-LATAM
Experience and skills:
Strong analytical skills and a proven ability to make sense out of data (incl. unstructured/novel, vendor/premium, high frequency, or survey based.)
Excellent data science skills, from data manipulation languages and techniques (e.g. SQL, Python), quality assurance practices, to API and cloud-based platforms (e.g. GCP, AWS, Snowflake).
Excellent understanding of economic modeling tools (eg. Stata, R, Python) and techniques (cross-section and time-series econometrics, causal inference, machine learning and experimental design)
Experience setting up econometric, machine learning and simulations on structural models
Experience in writing reusable code, and datasets
Strong interest in Economics, Technology and Business analytics and research
Strong interest in the economic research agenda as well as in themes such as technology innovation and labor markets
Deep analytical skills, including understanding of how to leverage generative AI to address research questions
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: Manager in Economic & Data Science
Qualifications: master’s degree/ PhD or equivalent in Economics as 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
