Lead Data Scientist Jobs in Reading

2 of 2 Lead Data Scientist Jobs in Reading

Lead Data Scientist

Reading, England, United Kingdom
Hybrid / WFH Options
Proventeq
Join to apply for the Lead Data Scientist role at Proventeq 2 days ago Be among the first 25 applicants Join to apply for the Lead Data Scientist role at Proventeq Direct data science/AI projects from scoping to delivery, to include … consulting presales, discovery, demos, technical advisory, fuller development and production. Providing technical governance & leadership, management and guidance to other teams, Data architects & developers. Mentoring where appropriate. Leading internal innovation projects. Understanding of roles of neighbouring teams, e.g. data engineering, AI governance. Communicating complex ideas to non-technical customers. … and fast environment. Able to speak at Conferences. Possibly involved in bringing in new talent and defining training for the team. Key Responsibilities Direct data science/AI projects from scoping to delivery, to include consulting presales, discovery, demos, technical advisory, fuller development and production. Providing technical governance & leadership More ❯
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Lead Data Scientist

Reading, England, United Kingdom
JR United Kingdom
Social network you want to login/join with: Halian Technologies is looking for a Lead Data Scientist to join our client’s digital team, supporting their journey to becoming a data-driven leader in the hospitality sector. This role involves owning and delivering the data … joining a forward-thinking organisation with deep heritage and a passion for innovation, working alongside cross-functional teams to deliver transformative insights and drive data maturity. Key Responsibilities: Own and deliver the Data Science roadmap, aligning with business goals and digital strategy. Develop and deploy data science … solutions including predictive models, customer segmentation, and AI/ML decision engines. Manage and enhance the data science environment and tooling for scalability and efficiency. Monitor and maintain the accuracy and effectiveness of deployed models. Collaborate with Product, CRM, IT, and Finance teams to embed data science solutions More ❯
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