Data Scientist GenAI (LLMs)
Core
Build end-to-end data products incorporating Generative AI and Large Language Models (LLMs) to enhance banking processes, customer experiences, and debt recovery strategies.
Role type
Senior IC Data Scientist (GenAI/LLMs)
Builds
End-to-end data products, LLM-based solutions, and AI-supported customer relationship models
Domain
Banking / Finance + Generative AI / LLMs
Deliverable
production ML models
Required skills
LLM fine-tuning, prompt engineering, embedding elicitation, model optimization, Python, statistical modeling, Pandas, NumPy, scikit-learn, PySpark, TensorFlow, PyTorch, HuggingFace Transformers, LangChain, LangGraph, A/B testing, causal inference, AI risk assessment (hallucination, bias)
Preferred skills
Financial industry experience, PhD in CS/Stats/Math, Cloud computing (AWS/GCP/Azure), Docker, Kubernetes
Technologies
Python, Pandas, NumPy, scikit-learn, PySpark, TensorFlow, PyTorch, HuggingFace Transformers, LangChain, LangGraph, AWS, Google Cloud, Azure, Docker, Kubernetes
Responsibilities
Lead analytical projects and manage teams, analyze complex datasets to uncover trends, develop predictive and generative models, evaluate and optimize LLMs for domain applications, construct knowledge bases and datasets for LLMs, collaborate with product managers and engineers, present findings to stakeholders, mentor team members, ensure compliance with governance standards
Seniority
Senior, hands-on IC with mentorship responsibilities
