Head of Data Science
Role details
Job location
Tech stack
Job description
They're assembling a specialist project team to build an agentic data connector that integrates the newly acquired product with their existing cloud ecosystem. The mission: create a standalone application capable of auto-discovering APIs, interpreting schemas, and generating accurate data mappings without manual intervention.Build and validate ML models for automated schema understanding, entity recognition, and mapping generation.Analyse APIs and data structures from both platforms to identify integration patterns.Collaborate with engineering and product teams to shape agent behaviour and data interpretation logic.Contribute to an agent-first development approach, orchestrating AI tools to solve integration challenges rapidly., A global specialist consultancy in Greater London is looking for a Senior or Principal Data Scientist to upscale their Data Science capabilities. In this role, you will develop and deploy Machine Learning models on Google Cloud and collaborate with various clients to design..., Head of Data Science Hybrid in London, United Kingdom We're looking for a Head of Data Science You'll lead multiple data science teams whose work guides decision-making across lending, product, operations, and strategy. You'll shape how we work, ensuring that analytical..., A leading AI solutions provider in the UK is seeking a Principal Data Scientist to lead the design and development of enterprise-scale AI solutions. This remote-first role involves shaping the strategic direction of AI programmes, mentoring high-performing teams, and..., Head of Data Science Salary: £115K - £125K + bonus Location: Manchester 2-4 days a month The Opportunity We're working with a high-growth business that is scaling its data function to the next level. Data scientists here have traditionally combined reporting with...
Requirements
Strong background in DS/ML (NLP, optimisation, or schema-matching experience is a plus).Solid understanding of APIs, data models, and transformation workflows.Experience with agentic AI tools (e.g., Bonus: exposure to logistics datasets or consultancy experience.
Python (Django beneficial)React (handled mainly by engineering)