Data Scientist
Core
Design and deploy enterprise-grade data management frameworks and AI/ML solutions (NLP, LLMs, RAG) to deliver financial analytics and automation for D&A Operations.
Role type
Senior IC Data Scientist (Financial Analytics & AI)
Builds
Data pipelines, ML models, and analytical workflows for financial data
Domain
Financial services / Data Analytics / Machine Learning
Deliverable
production ML models | product features
Required skills
Python, NLP, LLMs, RAG, deep learning (TensorFlow/Pytorch), feature engineering, predictive modelling, statistics, relational databases, MLOps, cloud platforms (AWS/Azure), web scraping, entity extraction, Git/CI/CD
Preferred skills
Financial services domain knowledge, Refinitiv/LSEG tools experience, distributed team collaboration
Technologies
Python, Pandas, NumPy, Scikit-learn, TensorFlow, Pytorch, GitLab, GitHub, AWS, Azure
Responsibilities
Build, train, test, and validate ML/deep learning models including NLP and RAG; develop evaluation frameworks for AI solutions; apply web scraping and data preprocessing techniques; build and deploy solutions on cloud platforms following MLOps/CI/CD; collaborate with domain experts to translate business requirements into platform components; design user experiences for financial analytics pipelines.
Seniority
Senior, hands-on IC
