Data Scientist – GenAI & Machine Learning (all humans)
Core
Design, develop, and evaluate predictive models, machine learning solutions, and GenAI applications (LLMs, RAG, AI agents) to create measurable value for internal business customers in Retail, Corporate, and Operations.
Role type
Senior IC Data Scientist (GenAI & Machine Learning)
Builds
Production-ready GenAI and ML solutions for customer experience, sales optimization, churn prevention, and document processing.
Domain
Banking / Financial Services
Deliverable
production ML models
Required skills
Python, SQL, Spark, RAG pattern implementation, LLM integration, statistical methods, feature engineering, model evaluation, data preparation
Preferred skills
Databricks, banking domain knowledge, AI platform collaboration
Technologies
Python, Spark, SQL, Databricks, LLMs, RAG
Responsibilities
Design and develop predictive models and GenAI applications; work across the full data science lifecycle from problem understanding to deployment; collaborate with business experts and engineers to scale prototypes; apply evaluation methods and guardrails for regulated environments.
Seniority
Mid-Senior, hands-on IC