Data Scientist, Senior Analyst

Salary: £65,000 - 105,000 per year

Requirements:

• Substantial experience querying, cleaning, compiling, and analyzing big data.
• Familiarity with 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 such as numpy, pandas, scikit, pytorch, tidyverse, caret, and ggplot.
• Proven experience developing, refining, and monitoring NLP models.
• Familiarity with database management tools and techniques such as SQL, Selenium, S3, Sagemaker, and API protocols preferred but not required.
• Understanding of model evaluation methods and metrics.
• Ability to operationalize non-technical ideas into relevant research designs, features, and model outputs.
• Familiarity with experiment tracking and model management tools such as DVC and Weights & Biases.
• Demonstrated experience with interpretable AI techniques.
• Exposure to cloud-based data and analytics platforms such as AWS, Databricks, and Snowflake.
• Advanced degree or certification in NLP, ML, or related fields.
• Familiarity with DevOps practices and tools.
• Hands-on experience with experimentation and model tracking tools such as MLFlow and Weights & Biases.
• Demonstrable impact of technical solutions or projects on decision-making.
• Experience working in fast-paced, agile environments.
• Customer-facing experience, notably in understanding end user needs and building collaborative relationships.

Responsibilities:

• Prototype and test new approaches for extracting insights from structured and unstructured data for our core customer base, including 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.
• Support risk research and analysis.
• Explore, analyze, and write about our proprietary risk data for different use cases and aid in product development.

Technologies:

• AI
• API
• AWS
• Big Data
• Cloud
• Databricks
• DevOps
• Support
• Machine Learning
• MLflow
• PyTorch
• Python
• SQL
• Selenium
• Snowflake
• numpy
• pandas
• Backend

More:

We are BMI, with data-driven market insights, analysis, and forecasts that help customers assess risks and opportunities across markets and industries. For almost 40 years, we have provided impartial views to support strategic plans and investment decisions. Our team combines cross-domain expertise in economics, politics, more than 20 industries, ESG, commodities, and computer science to build transparent country risk analytics and robust models. This role is based out of our London or Manchester offices, with a hybrid work environment requiring three days a week in the office. We offer a culture of learning and mobility, with dedicated training, leadership development, and mentorship programs, along with retirement planning, tuition reimbursement, comprehensive healthcare, supportive parenting policies, an inclusive workplace, and volunteer and donation matching opportunities. We are committed to an objective, timely, independent, and forward-looking approach, and our collaborative environment values all voices.

last updated 36 week of 2026