Used Tools & Technologies
LLMRequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Python @ 5
SQL @ 5
R @ 5
Machine Learning @ 3
Data Analysis @ 3
AI @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. The Economic Research team builds datasets and methods to measure AI's effects on labor markets, productivity, and economic transformation. As a Regional Research Economist you will collaborate with governments, academia, industry, and civil society in your region to measure and understand AI's effects on the economy, extend the Anthropic Economic Index to produce regionally relevant insights, and translate research into policy recommendations and internal business/product decisions. You will use frontier methods in econometrics, machine learning, and structural estimation and work with novel measurement systems (including Anthropic’s privacy-preserving measurement system, Clio).
Responsibilities
- Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary regional point of contact for economic impact work
- Advance research collaborations that answer country- or regional-specific economic impact questions
- Translate research insights into actionable recommendations for policy discussions
- Contribute to the development and expansion of the Anthropic Economic Index, including country/regional-specific analysis
- Design and collaborate on empirical research on AI's economic effects with governments, academia, industry, and civil society
- Develop new methodological approaches (in collaboration with regional partners) for studying AI's impact on labor markets, productivity and task transformation, economic inequality and displacement, industry-specific disruption, and aggregate economic trajectories under varying AI-adoption scenarios
- Work cross-functionally with other technical teams to improve measurement infrastructure and data collection
- Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders
Requirements
- PhD in Economics
- Strong track record of empirical research, especially studies combining novel data sources and economic theory or implementing frontier methods in causal inference and machine learning
- Demonstrated experience and relevant relationships across the region
- Experience relevant to the study of AI’s impact on the economy, including labor market analysis, task-based approaches, large-scale data analysis and econometric methods, using large language models for social science research, policy-relevant economic research, experimental and quasi-experimental methods, macroeconomic modeling and time series forecasting, and agent-based modeling or large-scale simulation
- Technical skills: proficiency in Python, R, SQL, or similar tools for large-scale data analysis; experience working with novel datasets and measurement systems; comfort learning new technical tools and frameworks
- Demonstrated ability to lead complex research projects from conception to publication, communicate technical findings to diverse audiences, and build relationships across academic, policy, and industry communities
- Strong interest in ensuring AI development benefits humanity and comfort working with AI systems with critical awareness of their capabilities and limitations
Representative projects
- How Australia Uses Claude: Findings from the Anthropic Economic Index
- Anthropic Economic Index Report: Economic Primitives
- Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption
- Estimating AI productivity gains from Claude conversations
- The Anthropic Economic Index
Additional information & logistics
- Location: London, United Kingdom
- Location-based hybrid policy: staff expected to be in one of our offices at least 25% of the time (hybrid)
- Minimum education (logistics): Bachelor’s degree or equivalent combination of education/training/experience (note: minimum qualifications list a PhD in Economics)
- Minimum years of experience: will correlate with internal job level requirements
- Visa sponsorship: Anthropic states they do sponsor visas and retain an immigration lawyer to assist
- Annual salary range: £180,000 - £190,000 GBP
Benefits
- Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office space for collaboration
How to apply
Application form requests contact details, resume/CV or LinkedIn, a writing sample (preferably a job-market paper or other research article), and asks whether candidates require visa sponsorship or are open to relocation. Anthropic provides guidance on acceptable AI usage during the application process.