Data Scientist
Core
Design data-driven solutions and build enterprise-grade data management frameworks for D&A Operations, focusing on financial analytics and AI.
Role type
Senior IC data scientist (financial analytics & NLP)
Builds
Enterprise data management frameworks, financial analytics pipelines, and ML/AI solutions (NLP, LLMs, RAG)
Domain
Financial services / Data & Analytics
Deliverable
production ML models
Required skills
Python, Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, SQL, statistics, feature engineering, MLOps, cloud platforms (AWS/Azure), web scraping, entity extraction
Preferred skills
Financial services experience, Refinitiv/LSEG datasets familiarity, distributed team collaboration
Technologies
AWS, Azure, GitLab, GitHub, Git, CI/CD pipelines
Responsibilities
Contribute to enterprise data management framework development; design user experiences for financial analytics pipelines; translate business requirements into platform components/models; build, train, and validate ML/deep learning models (NLP, LLMs, RAG); develop evaluation frameworks for AI solutions; apply data preparation techniques (scraping, extraction); deploy solutions on cloud platforms following MLOps best practices
Seniority
Senior, hands-on IC