4 of 4 Lead Data Scientist Jobs in Leeds

Lead data scientist role within National Highways' Digital Services Hybrid role with two days in office and regular travel to Birmingham Responsibilities include leading data science projects and driving continuous improvement Focus on data science ethics, safety, delivery, customer service, and sustainability Strong data science knowledge and ability to develop innovative data products required About the Role This is an exciting opportunity to use your data science skills for the public good, working with National Highways in our mission to connect the country and enable safer journeys. We believe that connecting ...

National Highways is seeking a Lead Data Scientist to guide a team within Digital Services, delivering data products that enhance safety, delivery, and customer experience. This hybrid role involves two days in the office and regular travel to Birmingham. You will drive best practices, ethics … governance while working with stakeholders to create value from data. Applicants should show strong data science knowledge and the ability to translate complex analyses into actionable outcomes. #J-18808-Ljbffr ...

Role Purpose Lead the design, engineering, and operationalization of enterprise Security Knowledge Graphs that connect security telemetry, assets, identities, vulnerabilities, threats, controls, and incidents into a trusted intelligence layer. The role is highly hands-on and combines data science, graph engineering, cybersecurity analytics, semantic modeling, and technical leadership … grade graph ingestion and transformation pipelines for SIEM, EDR/XDR, IAM/PAM, CMDB, vulnerability scanners, cloud security platforms, threat intelligence feeds, security data lakes, and case-management systems. Develop entity extraction, identity resolution, deduplication, schema mapping, relationship inference, confidence scoring, temporal modeling, and graph enrichment capabilities. Model ...

Role Purpose Lead the design, engineering, and operationalization of enterprise Security Knowledge Graphs that connect security telemetry, assets, identities, vulnerabilities, threats, controls, and incidents into a trusted intelligence layer. The role is highly hands-on and combines data science, graph engineering, cybersecurity analytics, semantic modeling, and technical leadership ...