IT & Software

Data Scientist, Senior Analyst

Fitch Ratings

London · Greater London · United Kingdom

Overview

In this Data Scientist role, you will help build and deploy quantitative models that power country-risk analytics for corporate, banking, and asset-management clients. You will collaborate with economists, political scientists, and developers to deliver interpretable, scalable insights from structured and unstructured data. The position focuses on advancing risk models, NLP-driven data generation, and robust ML pipelines to support strategic decision-making. You will work in a cross-domain, fast-paced environment that emphasizes transparency, validation, and impact on client decisions.

Pay / Benefits
  • Hybrid work environment
  • retirement planning options
  • tuition reimbursement
  • comprehensive healthcare
  • parental leave policies
  • volunteer days and community involvement
Responsibilities
  • Prototype and test new data-extraction approaches from structured and unstructured data
  • Develop and maintain ML/data pipelines for experimentation and deployment
  • Design and optimize risk models for analytics and generative AI using proprietary NLP data generation
  • Collaborate with economists, industry analysts, political scientists, and developers
  • Explain ML/NLP outputs and methodologies to non-technical stakeholders
Key requirements
  • Substantial experience querying, cleaning, compiling, and analyzing big data
  • Experience with data mining, data visualization, NLP, text analysis, time series forecasting, and ML models
  • Proficiency in Python and R with common libraries (numpy, pandas, scikit, pytorch, tidyverse, caret, ggplot)
  • Proven experience developing and monitoring NLP models
  • Familiarity with SQL, Selenium, S3, Sagemaker, API protocols
  • Understanding model evaluation methods and metrics
  • Ability to operationalize ideas into research designs and model outputs
  • Experience with experiment tracking and model management tools (e.g., DVC, Weights & Biases)
  • Experience with interpretable AI techniques
  • cross-functional collaboration
  • ability to explain complex models to non-technical stakeholders
  • data-driven decision making
  • NLP
  • machine learning
  • scalability

Reference: WJ-747_30182192

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