1 to 25 of 32 Data Science Jobs in Scotland

Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand … for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector More ❯

Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand … for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector 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 … 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 and ensure high standards of data quality and integrity in our More ❯

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 More ❯

our team in Glasgow. You will play a pivotal role in designing, developing, and integrating AI-driven solutions within enterprise environments. Leveraging your expertise in .NET & C# or Python, data science, and Microsoft Azure, you will help shape the next generation of intelligent applications. The ideal candidate is passionate about innovation, thrives in collaborative settings, and is committed … to delivering high-quality, scalable solutions. What we offer: Work on cutting-edge AI and data-driven applications. Be part of an innovative and collaborative new team. Gain continuous learning and career growth opportunities. Competitive compensation and benefits package. AI & Software Development Design, develop, and maintain AI-powered applications using .NET, C#, Python, and Azure cloud technologies. Build scalable … Open AI, Cognitive Services, and AI-driven APIs. API Development & Cloud Solutions Develop secure, efficient, and scalable RESTful APIs for AI and enterprise applications. Deploy and manage AI/data solutions using Azure Open AI, Azure Kubernetes Service (AKS), and Azure Container Apps. DevOps & Infrastructure Utilize Azure DevOps and GitHub for source control, CI/CD pipelines, and automated More ❯

From reviews to user behaviours to internal systems, at Trustpilot we truly have big data. And, in our Applied AI team, we are leveraging AI and ML to transform data into value, drive product innovation, improve user experience, enrich Trustpilot's data ecosystem and enhance business growth. We are seeking a Data Science Manager to join … our Applied AI team, to help us in our mission. We are seeking a candidate with a proven track record in managing and developing a team of Data Scientists specializing in Applied AI, across junior, mid-level, and senior roles. The ideal candidate will also possess hands-on experience throughout the entire ML modeling lifecycle, from initial concept to … production deployment. You will collaborate with cross-functional teams in product management, UX, data analytics, and engineering across various product contexts. This role involves managing the delivery and maintenance of highly impactful, innovative AI/ML solutions at scale. To effectively fulfil this role, you will have an extensive technical background and several years of experience as a Data 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 … 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, reproducibility, and monitoring of deployed models. Requirements 6+ years in data science/ML, with at least 2 years in a technical lead role. Deep experience in training and deploying computer vision models into production Proven track record with LLM fine-tuning, prompt engineering and productionisation Deep experience in MLOps on Azure, including CI/CD, monitoring 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 … 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, reproducibility, and monitoring of deployed models. Requirements · 6+ years in data science/ML, with at least 2 years in a technical lead role. · Deep experience in training and deploying computer vision models into production · Proven track record with LLM fine-tuning, prompt engineering and productionisation · Deep experience in MLOps on Azure, including CI/CD, monitoring 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 … 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, reproducibility, and monitoring of deployed models. Requirements · 6+ years in data science/ML, with at least 2 years in a technical lead role. · Deep experience in training and deploying computer vision models into production · Proven track record with LLM fine-tuning, prompt engineering and productionisation · Deep experience in MLOps on Azure, including CI/CD, monitoring More ❯

TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools: MLflow, Kubeflow, Azure ML Pipelines Experience working with distributed data processing using PySpark. Solid understanding of software engineering principles and version control (e.g., Git). Excellent problem-solving skills and ability to work independently or in a team. Collaborate … with cross-functional teams to integrate AI solutions into scalable products Ensure best practices in data engineering and contribute to architectural decisions Support senior team members in identifying and addressing data science opportunities. Required Skills & Experience Proven experience in MLOps or DevOps roles within machine learning environments Strong programming skills in Python, with hands-on experience in … ability to work independently or in a team. Typically, 5+ years of relevant work experience in industry, with a minimum of 2+ years in a similar role. Proficiencies in data cleansing, exploratory data analysis, and data visualization Continuous learner that stays abreast with industry knowledge and technology Why Join Us? Work on impactful AI projects with real More ❯

edge technologies and contribute to impactful projects in a collaborative, innovation-driven environment. Key Responsibilities Design and implement robust machine learning models using modern frameworks and libraries. Collaborate with data scientists, engineers, and stakeholders to translate business requirements into technical solutions. Optimize and deploy models using tools like TensorFlow Serving, TorchServe, ONNX, and TensorRT. Build and manage ML pipelines … using MLflow, Kubeflow, and Azure ML Pipelines. Work with large-scale data using PySpark and integrate models into production environments. Monitor model performance and retrain as needed to ensure accuracy and efficiency. Collaborate with cross-functional teams to integrate AI solutions into scalable products Ensure best practices in data engineering and contribute to architectural decisions Contribute to the … mentoring and development of junior team members. Support senior team members in identifying and addressing data science opportunities. Required Skills & Experience Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn XGBoost, LightGBM, CatBoost TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools: MLflow More ❯

the design, test and build of complex information across multiple decision engines to identify causal links between customer behaviour and business opportunities and performance Demonstrate an innovative approach to data-based problem solving, and have input into the development of a strategy that supports business strategy Collaborate in initiatives to support the accuracy, availability, granularity, and coverage of data, and those that implement new data management and manipulation tools. Communicate the findings of analysis in meetings with senior stakeholders and in visually compelling reports or presentations. Develop the targeting approach to accurately identify and understand customer needs by designing tests, delivery campaigns and reviewing performance to ensure campaigns are executed effectively Share complex ideas, issues, and recommendations … to gain agreement from different levels and backgrounds in presentation and written form. Your background. Degree in a quantitative field (Statistics, Computer Science, Mathematics, etc.) Proven experience in analytics or data science roles Experience in using customer analysis to identify commercial opportunities Excellent analytical thinking and problem-solving abilities Knowledge of programming languages such as Python, R 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. What 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. What 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 ❯

AI agents into applications Example: AI chatbot leveraging orchestration frameworks and APIs (OpenAI, Perplexity, Google) Tools and solutions for Sales, Marketing, and Engineering functions This is not a pure data science or ML model training role —the focus is on AI-driven software development and automation . Skills & Experience Essential: 5–6 years’ experience as a software engineer More ❯

AI agents into applications Example: AI chatbot leveraging orchestration frameworks and APIs (OpenAI, Perplexity, Google) Tools and solutions for Sales, Marketing, and Engineering functions This is not a pure data science or ML model training role —the focus is on AI-driven software development and automation . Skills & Experience Essential: 5–6 years’ experience as a software engineer More ❯

AI agents into applications Example: AI chatbot leveraging orchestration frameworks and APIs (OpenAI, Perplexity, Google) Tools and solutions for Sales, Marketing, and Engineering functions This is not a pure data science or ML model training role —the focus is on AI-driven software development and automation . Skills & Experience Essential: 5–6 years’ experience as a software engineer More ❯

Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. More ❯

Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. More ❯

Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. More ❯

Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. More ❯

Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. More ❯

Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. More ❯

Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. More ❯