Data Scientist
Core
Design data-driven solutions and build enterprise-grade data management frameworks for D&A Operations, focusing on financial analytics and AI/ML integration.
Role type
Senior IC data scientist (financial analytics & NLP)
Builds
Enterprise data management frameworks, financial analytics data pipelines, and scalable ML/AI solutions (NLP, LLMs, RAG)
Domain
Financial services / Data & Analytics Operations
Deliverable
production ML models | product features
Required skills
Python, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Git, CI/CD, MLOps, cloud platforms (AWS/Azure), statistics, relational databases, feature engineering, predictive modelling, NLP, LLMs, RAG workflows, web scraping, entity extraction, data cleaning, transformation, workflow optimization
Preferred skills
Financial services or investment banking experience, Refinitiv or LSEG datasets/tools familiarity, distributed team collaboration
Technologies
AWS, Azure, GitLab, GitHub runners, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch
Responsibilities
Contribute to the development of an enterprise-grade data management framework including data acquisition, cleaning, transformation, and workflow optimization; Build, train, test, and validate machine learning and deep learning models including NLP, LLMs, and RAG; Apply web scraping, crawling, and entity extraction techniques to prepare structured and unstructured data; Develop evaluation frameworks and metrics to assess automation and AI solutions; Build and deploy data and ML solutions on cloud platforms following MLOps and CI/CD best practices; Collaborate with analytics domain experts to translate business data requirements into platform components and analytical workflows
Seniority
Senior, hands-on IC
