6 of 6 Permanent Data Scientist Jobs in Glasgow

purpose.” Contract Type: Perm Location: Alderley Park or Glasgow Hybrid 50% from home/50% office based We're searching for an experienced Lead Data Scientist to join our Group Data & AI Office at Royal London. As a senior member of our Data & Analytics function … challenges and create value for our customers. Working within our evolving AI Centre of Enablement, you'll lead the exploration and delivery of innovative data science solutions across a range of business areas, helping to influence strategic decision-making and accelerate the adoption of AI across the group. ...

Royal London, the UK’s largest mutual life, pensions and investment company, is seeking an experienced Lead Data Scientist to join the Group Data & AI Office. You will shape advanced analytics, ML and AI delivery across a range of business areas, guiding strategy and accelerating AI adoption. … senior data science leader, you will balance hands-on technical work with leadership, mentoring teammates and influencing executives, while ensuring responsible AI, governance, and regulatory #J-18808-Ljbffr ...

Glasgow-based, hybrid working | £600–£700 perday | Outside IR35 Pursuit Marketing runs B2B outbound salescampaigns at scale. We’re looking for an experienced Data Scientistto take an ML capability from prototype through to production. This is ahands-on delivery role, rather than a research position. The details … multiple B2B datasets, including ranking andweighting Build scoring outputs, reporting and visualisations that commercial teams canact on Retrain, test and refine models against live data as volumes scale Work closely with CRM and SDR teams to embed outputs into day-to-dayprocesses Help establish the processes and infrastructure needed ...

Pursuit Marketing in Glasgow, United Kingdom, is seeking an experienced Data Scientist to take an ML capability from prototype to production. This hands-on role focuses on building datasets, training models, and embedding outputs into CRM and sales workflows. You will work in a hybrid setup with ...

setting technical direction and ensuring high-quality, scalable model delivery across fraud and transaction monitoring use cases. Driveend-to-end model lifecycle ownership — from data exploration and feature engineering to deployment, monitoring, and performance optimisation. Provide hands-on technical leadership, reviewing Python code, model design, distributed computing approaches … architectural decisions. Manage and develop a team of data scientists, setting standards for technical excellence, delivery discipline, and stakeholder engagement. Engage senior stakeholders (1LOD, Compliance, Control Owners, Technology) to prioritise initiatives, resolve competing demands, and ensure regulatory alignment. Candidate Requirements: Extensive experience building and deploying machine learning models ...

Communicate results effectively to business stakeholders through written reports, visualizations, and presentations. Stay current with the latest research in LLM, agentic AI, ML, and data science, and proactively identify and leverage emerging techniques to drive ongoing enhancement. Qualifications, Capabilities, and Skills Proven experience applying NLP, LLM, and ML techniques … high-impact business problems. Demonstrated intellectual curiosity and a passion for staying current with the latest advancements in AI, LLMs, agentic AI frameworks, and data science. Proficiency in programming languages such as Python and familiarity with machine learning libraries and frameworks. Excellent communication skills and ability to work collaboratively ...