Enable job alerts via email!
A global consultancy is seeking a Data Scientist to join its team in London. This contract role involves designing Python-based AI applications and conducting R&D on generative AI techniques. Candidates should have advanced Python skills and expertise in Azure AI services. This opportunity offers hybrid work with one office visit per week and the chance to work on cutting-edge technologies.
Job Title: Data Scientist (Contract)
Location: London (Hybrid - 1 office visit a week)
Duration: 6 months
Start Date: ASAP
Outside IR35
A global consultancy is seeking a Data Scientist to join its internal transformation team focused on delivering AI-driven solutions across tax and legal services. This is a contract role within a high-performing data and AI group, offering exposure to cutting-edge generative AI technologies and the opportunity to contribute to impactful service delivery innovations.
Key Responsibilities:
* Design and deploy Python-based AI applications for internal use
* Conduct R&D on generative AI techniques including fine-tuning, prompt engineering, and retrieval-augmented generation
* Build agentic systems and LLM-assisted frameworks using modern orchestration tools
* Collaborate with cross-functional teams to deliver production-ready solutions
* Maintain high standards of code quality, documentation, and testing
* Develop evaluation pipelines and ensure robust quality control across deployments
Essential Skills and Experience:
* Advanced Python programming skills with experience in libraries such as Numpy, Pandas, Scikit-Learn, Langchain, LlamaIndex
* Deep expertise in Azure and its AI services, including Azure AI Foundry
* Hands-on experience with GenAI techniques: prompt orchestration, retrieval methods (RAG, knowledge graphs), agentic frameworks (LangGraph, Semantic Kernel Agents)
* Familiarity with software engineering best practices: version control, testing, deployment
* Ability to collaborate with AI engineers and translate prototypes into scalable solutions
Desirable Skills:
* Experience optimizing workflows and building scalable AI pipelines
* Strong data analytics and visualization capabilities (Excel, Alteryx)
* Understanding of Responsible AI principles and practices