Lead Data Scientist

Primary skills - LangGraph, LangChain, Data manipulation with Python, NumPy, LLMOps (including pipeline build and deployment), drift detection, Azure Databricks, RAG, Agent development, Prompt engineering, LLM model fine tuning.

Familiarity with LLM fine-tuning, prompt engineering, agentic frameworks and solution deployment using modern frameworks (e.g., LangGraph, LangChain).
Expertise in data processing and transformation using Pandas, NumPy, and SQL (ideally PySpark).
Ability to translate business problems into scalable, production-grade solutions.
Excellent communication and collaboration skills, with the ability to work effectively in an off-shore setting and maintain strong relationships with UK-based teams.
Ability to work in a fast-paced environment and manage multiple projects simultaneously.

Knowledge & Experience
Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
3+ years of experience in software engineering, data science, machine learning, or AI engineering.
Hands-on experience in developing and deploying GenAI/LLM applications in production environments, including containerisation and CI/CD pipelines.
Exposure to cloud platforms (ideally Azure and Databricks).
Bonus Experience working with large-scale datasets and distributed computing (Spark or similar).