Associate Director, Data Scientist

Requisition

Business Unit:
Fitch Solutions

Category:
Data & Analytics

Location:

London, GB Manchester, GB

Date Posted:
May 27, 2026

BMI is currently seeking a Data Scientist
based out of our London, or Manchester

BMI's systematic, independent, and data-driven market insights, analysis and forecasts enable customers to recognize and assess risks and opportunities across markets and industries. For almost 40 years, we have provided impartial views to support our customers’ strategic plans and investment decisions.

At BMI, we’re proud of the work we do to help our clients manage risks and opportunities in global markets, which began in 1984 and continues to this day. By stepping into a role here, you will help shape the strategic decisions of the world’s leading organizations. As a member of our team, your role will go beyond conventional boundaries. You will collaborate with industry experts, thought leaders, and visionary executives, collectively working towards shaping the future of businesses that span a multitude of sectors.

Our people are at the heart of everything we do, and we continuously strive to offer our colleagues a great place to work, with opportunities to learn, innovate, develop their careers, and serve the community.

BMI's team integrates cross-domain expertise (Economics, Politics, 20+ industries, ESG, Commodities) and computer science to create systematic country risk analytics that are transparent and can be validated. We build and maintain robust models that our customers use to identify and manage country risks.

Joining as a Data Scientist to support risk research and analysis, you will help shape the strategic decisions of the world’s leading organizations. Candidates will have the opportunity to explore, analyze, and write about our proprietary risk data for different use cases and aid in product development. As a member of our team, your role will go beyond conventional boundaries. You will collaborate with experts across risk management and other domains.

As a Data Scientist, you will design, build, and deploy quantitative models that power advanced analytics and insights for our clients. You will work closely with country analysts, industry analysts, economists, political scientists, data scientists, and backend developers to deliver interpretable, scalable solutions. Your expertise will help us innovate and adapt our modeling frameworks to address diverse customer needs in a fast-paced, collaborative environment.

• Prototype and test new approaches for extracting insights from structured and unstructured data for our core customer base – Corporates, Banks, Professional Services, and Asset Managers
• Develop and maintain robust ML and data pipelines for experimentation and deployment.
• Design, build, and optimize risk models for analytics and generative AI applications using our proprietary NLP data generation process.
• Collaborate cross functionally with Economists, Industry Analysts, Political Scientists, and Developers.
• Explain ML/NLP model outputs and methodologies to non-technical stakeholders.

• Substantial experience querying, cleaning, compiling, and analyzing big data.
• Strong appreciation of software engineering fundamentals such as code quality, code reviews, unit testing and developing code that is supportable and maintainable.
• Experience of developing quantitative models under source control that are fully documented and reproducible.
• Familiarity applying various computational social science methods including data mining, data visualization, natural language processing, text analysis, and basic time series forecasting and machine learning models.
• Familiarity with scenario analysis/stress-testing, simulation analysis, rare event modeling, and stochastic modeling preferred but not required.
• Substantial experience with Python, R, and relevant libraries (e.g., numpy, pandas, scikit, pytorch, tidyverse, caret, ggplot, etc.).
• Proven experience developing, refining, and monitoring NLP models.
• Familiarity with database management tools and techniques (e.g., SQL, Selenium, S3, Sagemaker, API protocols) is…