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.