Econometrics & Data Science Trainee: Shape the Global Power Index Methodology (hiring globally)
Posted 2 weeks ago by Pareto Economics
Negotiable
Undetermined
Hybrid
London Area, United Kingdom
Summary: The Econometrics & Data Science Trainee role at Pareto Economics involves a hybrid training placement focused on refining the Global Power Index (GPI) methodology. The position is designed for recent Master's graduates or ongoing PhD candidates, offering mentorship from senior leadership and the opportunity to influence global policy and investment strategies. The role requires a full-time commitment starting in early January 2026, with potential for a full-time analyst position based on performance.
Key Responsibilities:
- Source and integrate diverse datasets to strengthen the GPI's robustness and predictive insights.
- Validate models and clean data under expert guidance, using statistical methods to ensure accuracy and reliability.
- Develop forecasting metrics to identify potential shifts in national development paths.
- Update our methodology handbook and present findings to senior leadership for review and implementation.
Key Skills:
- Proficiency in Python, R, or similar for data manipulation and analysis.
- Strong knowledge of econometrics, mathematics, statistical analysis, time series, and data handling.
- Understanding of macroeconomics and world affairs.
- Experience with index-building techniques such as PCA, composite scoring, and MICE.
- Clear communication to convey ideas and collaborate effectively.
- Ability to work independently guided in a mentorship-focused environment, with solid problem-solving and initiative.
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
At Pareto Economics, we empower countries to make smarter, data-driven policy decisions and help investors and boards navigate long-term global affairs risk with rigorous, evidence-based insights. Our flagship Global Power Index (GPI) provides the world's most comprehensive measure of national development—analysing 194 countries across 30 years of historical data. We seek sharp, target-driven, and curious graduates (recent Master's or ongoing PhD) ready to contribute to work that influences nations' futures. Start your private-sector career with us: help shape global policy and investment strategies.
The Role
Join an 8-10 week hybrid training placement to refine and update our GPI methodology with top tier professionals. The role begins in early January 2026 and requires full-time commitment in London (or fully remote for suitable candidates). Benefit from direct mentorship by our senior leadership team—including Founder and CEO Klisman Murati, he developed the GPI. You'll also work closely with Chief Data Advisor Dr. Karim Abadir, Emeritus Professor of Financial Econometrics at Imperial College and accomplished forecaster in macroeconomics and finance with extensive experience at Oxford and the American University in Cairo. Observe firsthand how we apply first-principles thinking and data to guide countries' development. Strong performance may lead to a full-time analyst position.
Key Responsibilities
- Source and integrate diverse datasets to strengthen the GPI's robustness and predictive insights.
- Validate models and clean data under expert guidance, using statistical methods to ensure accuracy and reliability.
- Develop forecasting metrics to identify potential shifts in national development paths.
- Update our methodology handbook and present findings to senior leadership for review and implementation.
Ideal Candidate
As a recent MSc graduate or current PhD candidate, you possess a strong foundation in statistical analysis, advanced econometrics, time series, and data science. You are eager to apply these skills to real-world global challenges, with relevant projects, internships, or coursework in data analysis or index development as an advantage.
Must-Have Technical Skills
- Proficiency in Python, R, or similar for data manipulation and analysis.
- Strong knowledge of econometrics, mathematics, statistical analysis, time series, and data handling.
Plus Skills
- Understanding of macroeconomics and world affairs.
- Experience with index-building techniques such as PCA, composite scoring, and MICE.
Soft Skills
- Clear communication to convey ideas and collaborate effectively.
- Ability to work independently guided in a mentorship-focused environment, with solid problem-solving and initiative.
This role offers a strong entry into a career at the intersection of data science and international affairs. If you are interested in applying rigorous mathematics and econometrics to drive global impact, we invite you to apply.
How To Apply
To apply, please email your CV to chris.q@pareto-economics.com along with a 300 word max cover letter highlighting your specific relevant experience and your compensation expectations for this placement in GBP. Deadline 15 th December 2025.