8 of 8 Lead Data Scientist Jobs in the North of England

LEAD DATA SCIENTIST Security Knowledge Graphs & Cyber AI Lead Experience 10+ years overall; 5+ years in AI/ML or graph analytics Location Flexible/Hybrid Employment Type Full-time 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 to enable attack-path analysis, threat investigation, exposure prioritization, GraphRAG , and AI-assisted security operations. ...

Lead Data Scientist, you will spearhead the development of advanced probabilistic models that power real-time betting markets. Full-time Closes 04/11/2026 The Quantitative Analysis department harnesses data-driven insights to enhance our betting products and services. The team is responsible … depth knowledge of sports and online gambling to develop relevant, impactful models aligned with business objectives. Master’s degree or PhD in Mathematics, Data Science, Computer Science, or a related quantitative field. Proven success in leading the design, development, and deployment of sophisticated predictive models. Expertise in Python/ ...

bet365 Group seeks a Lead Data Scientist to spearhead probabilistic models powering real-time betting markets in Manchester. You will build advanced pricing models for sports products and in-play decisions using state-of-the-art ML techniques. The role offers hybrid working within the Quantitative Analysis ...

Bet365 is seeking a Lead Data Scientist to spearhead probabilistic modeling for real-time betting markets in a hybrid work setup. The role emphasizes building and validating sophisticated models to price sports bets and decisions using state-of-the-art ML techniques. You will mentor juniors, collaborate … with trading and software teams, and drive data-driven insights across large datasets to enhance betting products. A strong quantitative background and leadership experience are essential. #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 ...

Digica Ltd. is seeking an experienced Data Scientist who will also act as a Technical Lead. You will design and deploy ML models for AI-focused R&D projects, guiding client conversations from solution design to production deployment. You will mentor juniors, select algorithms, integrate models into production ...

Organisation A J Bell in Manchester, UK is seeking a Senior Data Scientist to join our analytics team. You will translate ambiguous questions into clear analytical work, partnering with senior stakeholders to drive decisions and business impact. Proficiency with Python, SQL and advanced modeling is essential. Ideal candidates … will leverage time-series methods, churn/LTV modeling and cloud data platforms to deliver actionable insights and strategic recommendations. #J-18808-Ljbffr ...

Verisk is seeking a Data Scientist in the United Kingdom to work across multiple verticals, including P&C Insurance, Life Insurance, Energy, Financial Services, Environmental Health and Safety, and Geopolitical Security. You will apply predictive modeling, machine learning, forecasting, network analytics, NLP, computer vision, and voice analytics ...