Data Scientist

Data Scientist / Senior Data Scientist – GenAI, Python & Azure

• Data Scientist: 5+ years of experience
• Senior Data Scientist: 8+ years of experience

Location- London, UK

Work Model- Hybrid – 3 Days Onsite per Week

Contract Duration -12 Months

Job Overview

We are seeking experienced Data Scientists / Senior Data Scientists with strong expertise in GenAI, Python, and Azure to join a large-scale AI transformation initiative based in London.

The ideal candidate will have proven experience in designing, developing, and deploying AI/ML and Large Language Model (LLM)-based solutions within enterprise environments. This role requires close collaboration with business stakeholders, ML Engineers, Product Teams, and cross-functional technical teams to deliver scalable and impactful AI solutions.

Experience within the Insurance domain is highly preferred.

Required Skills

• GenAI / Large Language Models (LLMs)
• Python
• Azure / Azure OpenAI
• Machine Learning
• Prompt Engineering
• Data Science & Model Development

Nice to Have

• Insurance industry experience
• Experience with GPT, BERT, LangChain, RAG, and Vector Databases
• Azure ML / Azure AI Studio exposure

Key Responsibilities

• Collaborate with business and technical stakeholders to understand business challenges and translate them into AI/ML-driven solutions.
• Design, build, train, and optimize Machine Learning and GenAI models for enterprise-scale applications.
• Develop and implement LLM-based solutions, including prompt engineering and model evaluation strategies.
• Work closely with ML Engineers and Data Teams to support data acquisition, preprocessing, feature engineering, and pipeline development.
• Evaluate model performance using relevant KPIs and continuously improve model accuracy, efficiency, and scalability.
• Support deployment, monitoring, and maintenance of AI/ML models in production environments.
• Contribute to AI solution architecture, model governance, and best practices for scalable AI implementation.
• Communicate technical findings, recommendations, and project updates effectively to stakeholders and leadership teams.
• Stay updated with the latest advancements in AI, GenAI, and Machine Learning technologies and contribute innovative ideas to the team.