Job
Core
Data Scientist role focusing on Generative AI, LLM use cases, and advanced analytics to transform data into insights and models for business decision-making and process optimization.
Role type
Data Scientist (Generative AI & Advanced Analytics)
Builds
Document intelligence, knowledge extraction, summarization, classification, question-answering, intelligent assistants, and statistical/machine learning models.
Domain
Banking / Financial Services
Deliverable
production ML models
Required skills
Generative AI, LLMs, NLP, prompt engineering, RAG, AI agents, statistical modeling, machine learning, Python, SQL, data handling, feature engineering, model evaluation
Preferred skills
Banking experience, R, SAS
Technologies
Python, SQL, R, SAS
Responsibilities
Design and contribute to Generative AI & LLM solutions (document intelligence, knowledge extraction, summarization, classification, Q&A, assistants); Develop statistical and machine learning models for business problems; Analyze large and complex datasets to identify patterns and actionable insights; Work with structured and unstructured data (customer, transactional, operational, text/document); Participate in model lifecycle from problem definition to implementation and continuous improvement; Assess model performance, robustness, explainability, and business relevance; Translate business needs into analytical approaches and data requirements; Present findings and recommendations to technical and non-technical audiences.
Seniority
Open to different levels of experience
