Lead Data Scientist

Strong programming skills in Python (including best practices for clean, maintainable code); familiarity with web frameworks (e.g., Flask, FastAPI, or Django).
Proficiency in containerisation and orchestration tools.
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).