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.
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 preferred but not required.
Understanding 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 (e.g., DVC, Weights & Biases).
Demonstrated experience with interpretable AI techniques.

Hybrid Work Environment: 3 days a week in office required
A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity
Investing in Your Future: Retirement planning and tuition reimbursement programs that empower you to achieve your short and long-term goals
Promoting Health & Wellbeing: Comprehensive healthcare offerings that enable physical, mental, financial, social, and occupational wellbeing
Supportive Parenting Policies: Family-friendly policies, including a generous global parental leave plan, designed to help you balance career and family life effectively
Inclusive Work Environment : A collaborative workplace where all voices are valued, with Employee Resource Groups that unite and empower our colleagues around the globe
Dedication to Giving Back: Paid volunteer days, matched funding for donations and ample opportunities to volunteer in your community

Data Scientist

Key skills