8 of 8 Permanent Data Scientist Jobs in Scotland

Veritas is a fast-growing data company on a mission to transform how data is used to drive innovation across life sciences, healthcare, and beyond. We create intelligent data products and analytical tools that empower our clients with actionable insights. Founded by seasoned experts in analytics and technology, Veritas curates, indexes, and delivers high-integrity, research-ready … data which benefits our clients in: Healthcare & Life Sciences Research: enabling long-term survival analysis, endpoint validation, epidemiological studies; Insurance, Pensions & Financial Services: improving life expectancy models, detecting fraud, and supporting population risk profiling ; AI & Predictive Modelling: powering advanced models that incorporate accurate mortality endpoints. As a Data Scientist at Veritas, you’ll help develop and deliver … data products that power our client solutions. You’ll work across the full data science lifecycle — from engineering and modelling through to dashboarding, client engagement, and product design. This is a great fit for someone who enjoys blending data engineering, analytics, and science in equal measure. What You’ll Do Design and build models, algorithms, and dashboards More ❯

I'm working with a global professional services firm to hire for an AI Data Scientist in Glasgow (hybrid). Their combining world-class expertise with cutting-edge technology, data science, and automation to create smarter, faster, and more efficient solutions both in-house and for their international clients. This is a brand-new role for an … AI Data Scientist who's ready to make a genuine impact. You'll be the first hire in a growing AI function , giving you the freedom to shape the technical direction and build powerful AI capabilities from the ground up. What you'll be doing You'll design and deploy next-gen AI solutions using Microsoft Azure , M365 … and Retrieval-Augmented Generation (RAG) systems. You'll fine-tune large language models (LLMs) for legal-specific applications, uncover insights from complex data, and turn these into intelligent, data-driven decisions that power real business outcomes. Collaboration will be key as you'll work closely with designers, engineers, and product managers to bring innovative AI ideas to life. More ❯

I'm working with a global professional services firm to hire for a AI Data Scientist in Glasgow (hybrid). Their combining world-class expertise with cutting-edge technology, data science, and automation to create smarter, faster, and more efficient solutions both in-house and for their international clients. This is a brand-new role for an … AI Data Scientist who's ready to make a genuine impact. You'll be the first hire in a growing AI function , giving you the freedom to shape the technical direction and build powerful AI capabilities from the ground up. What you'll be doing: You'll design and deploy next-gen AI solutions using Microsoft Azure , M365 … and Retrieval-Augmented Generation (RAG) systems. You'll fine-tune large language models (LLMs) for legal-specific applications, uncover insights from complex data, and turn these into intelligent, data-driven decisions that power real business outcomes. Collaboration will be key as you'll work closely with designers, engineers, and product managers to bring innovative AI ideas to life. More ❯

into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they re scaling globally and need a world-class Lead Data Scientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead … Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities Develop, train, and deploy computer vision models (object … evaluate, and productionise multi-modal LLMs for business applications. Drive experimentation and prototyping of advanced ML/AI techniques Provide technical direction, mentoring, and hands-on guidance to the data science team. Work with engineering, product, and business stakeholders to align ML strategy with business goals. Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability More ❯

into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they’re scaling globally — and need a world-class Lead Data Scientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead … Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities · Develop, train, and deploy computer vision models (object … evaluate, and productionise multi-modal LLMs for business applications. · Drive experimentation and prototyping of advanced ML/AI techniques · Provide technical direction, mentoring, and hands-on guidance to the data science team. · Work with engineering, product, and business stakeholders to align ML strategy with business goals. · Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability More ❯

Wood Mackenzie is the global data and analytics business for the renewables, energy, and natural resources industries. Enhanced by technology. Enriched by human intelligence. In an ever-changing world, companies and governments need reliable and actionable insight to lead the transition to a sustainable future. That's why we cover the entire supply chain with unparalleled breadth and depth … we put customers at the heart of our decisions Future Focused - we accelerate change Curious - we turn knowledge into action Job Description We're working on a next generation data analysis & visualisation platform that enables our customers to drive billion-dollar decisions and accelerate the world's transition to a more sustainable tomorrow. We're looking for a Data Scientist II to join our team.This role will be working within our AI group and focus on the research, development and delivery of AI solutions across our product suite. You'll collaborate closely with a cross-functional team of data scientists, engineers, and product managers to help deliver our product roadmap. You'll apply advanced AI techniques More ❯

I'm working with a global professional services firm to hire for a AI Data Scientist in Glasgow (hybrid). Their combining world-class expertise with cutting-edge technology, data science, and automation to create smarter, faster, and more efficient solutions both in-house and for their international clients click apply for full job details More ❯

OurclientisbuildingthemostadvancedAIplatformintheirmarket.Theyhelptheirclientsservecustomerswithunmatchedspeedandaccuracy. TheyveinvestedheavilyintobuildingtheMLstack,partneredwithleadinguniversities,andtrainedmodelsonmillionsofexpert-taggedimages.Now,theyrescalinggloballyandneedaworld-classLeadDataScientisttohelppushtheboundariesofcomputervision,videoanalysis,andmultimodalLLMswhilesolvingreal-worldchallenges. RoleOverview TheyarelookingforanexperiencedLeadDataScientisttospearheadmachine-learninginitiatives,withparticularfocusoncomputervision,largelanguagemodels,andproductionreadyMLpipelinesinAzure.Youwillactasthetechnicalleadfortheteam,settingdirection,guidingbestpractices,andensuringthesuccessfuldeliveryofhigh-impactAIsolutions. KeyResponsibilities Develop,train,anddeploycomputervisionmodels(objectdetection,imageclassification,segmentation,multi-modallearning) Fine-tune,evaluate,andproductionisemulti-modalLLMsforbusinessapplications. DriveexperimentationandprototypingofadvancedML/AItechniques Providetechnicaldirection,mentoring,andhands More ❯