2 of 2 Permanent Head of Data Science Jobs in Central London

Head of Data Science/Analytics & Consulting | London | £95,000 - £100,000 | Hybrid 2 Days a Week In Office The Role Looking for a dynamic leader to establish and guide a newly created client-focused team responsible for configuring and deploying an advanced data platform. This team ensures the smooth implementation of software, data extraction, engineering, analytics, product setup, and dashboard development while working closely with clients to meet their needs. The Data & Analytics Consulting team is composed of versatile professionals, each proficient in managing all technical aspects (Engineering, Science, Analytics) of client implementations and supporting them throughout the deployment process. This team works in close partnership with Business … Consultants, who oversee the non-technical aspects of delivery, as well as other key departments such as Information Governance (security and compliance), Platform Development (core product innovation), and Quality Assurance (testing and validation). As the Head of Data & Analytics Consulting, you will oversee the technical deployment process from end to end, ensuring efficient and high More ❯

Head of Data Science - Credit Risk/Lending Up to £130,000 + Bonus London (2/3 days onsite) Company: A long term client of ours, operating within the Credit/Lending space is looking to bring in a new Head of Data Science. Focused on Credit Cards and Loans, the … digital-first platform and smart analytics to assess affordability fairly and lend responsibly. Backed by a trusted brand, it’s making credit clear, accessible, and ethical. Responsibilities: Lead a Data Science team to build and embed top credit models supporting growth and customer outcomes. Develop and deploy segmented credit models for unsecured consumer lending. Improve data and … analytics by identifying opportunities and encouraging rapid testing. Work with Analytics to optimise portfolio value through data and modelling adjustments. Communicate insights to stakeholders, monitor model performance, and collaborate across teams and external partners. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience working with models in the Credit Risk/ More ❯