1 to 25 of 49 Permanent Data Science Jobs in Scotland

Job ID: Amazon Development Centre (India) Private Limited The AOP (Analytics Operations and Programs) team is responsible for creating core analytics, insight generation and science capabilities for ROW Ops. We develop scalable analytics applications, AI/ML products and research models to optimize operation processes. You will work with Product Managers, Data Engineers, Data Scientists, Research Scientists … Applied Scientists and Business Intelligence Engineers using rigorous quantitative approaches to ensure high quality data/science products for our customers around the world. We are looking for a Sr.Data Scientist to join our growing Science Team. As Data Scientist, you are able to use a range of science methodologies to solve challenging business problems … the project and proposing solutions which align with org's priorities and production constraints but still create impact. You will achieve this by leveraging strong leadership and communication skills, data science skills and by acquiring domain knowledge pertaining to the delivery operations systems. You will provide ML thought leadership to technical and business leaders, and possess ability to 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 … to trust each other Customer committed - we put customers at the heart of our decisions Future Focused - we accelerate change Curious - we turn knowledge into action Role Purpose The Data Analyst will play a key role in advancing forecasting and modelling efforts by managing, analysing, and optimising large datasets across renewable, conventional, and storage assets globally. Working on asset … revenue forecasting, power dispatch modelling, or power markets data, the analyst will focus on automating workflows, ensuring data quality, and delivering actionable insights through close collaboration with research, engineering, and product teams. This role contributes directly to improving forecasting accuracy and enhancing the company's global asset performance and revenue strategies. Responsibilities Knowledge Structures poorly defined problems, gathers More ❯

We are looking for a hands-on, technically driven Data Engineer to join our expanding data team. This role is ideal for someone with a strong foundation in SQL and data management, who has recently graduated from a Data Science or Data Engineering programme and is eager to apply their skills in a modern … forward-thinking environment. You will be responsible for developing and maintaining robust data solutions that support reporting, automation, and strategic decision-making across the business. The successful candidate will have up-to-date knowledge of data tooling and methodologies, particularly in SQL, Power BI, and data automation, with an interest in modern data architecture such as … As the role sits within a relatively new department, where methodologies and processes are still evolving, there is a significant opportunity to help shape the future of OEG’s data management practices. Key Responsibilities: Database and Data Engineering Design, develop, and maintain SQL-based solutions and data pipelines. Manage relational databases, ensuring data can be extracted More ❯

Senior Data Scientist (Natural Language Processing) Total Remuneration: £57,879 to £68,146 Pay Supplement: The base salary for this role is £46,677 - £54,957 This job qualifies for Digital, Data and Technology Annual Pay supplement of 24% which is included in the total remuneration above. Pension: 28.97% of base salary (RoS contribution) Annual Leave: 38 days … We work to create digital solutions for the people of Scotland. You will get an opportunity to nurture your creativity and develop with us through access to the latest data, software engineering and product delivery techniques. This job is for you if you want Work with purpose: working for the people of Scotland to set the bar for land … learn more about RoS and what we offer visit our careers pages or watch this short video. Hear from our colleagues about their experience of working within our Digital, Data and Technology teams on our website. The Role This is an exciting new role aimed at growing our data science capability, and the adoption of data More ❯

a constituent of the FTSE 100 index of the London Stock Exchange. The Position Our roster has an opening with your name on it! We are seeking a Staff Data Engineer to lead the technical design and implementation of our most critical data infrastructure and products. In this senior-level individual contributor role, you'll be responsible for … designing scalable systems, setting data architecture standards, and solving complex technical challenges that power analytics, data science, and business function use cases across the company. You will collaborate closely with engineers, product managers, and business stakeholders to architect data solutions that are performant, reliable, and built with a long-term, customer-centric mindset. Architect High-Impact … Data Systems Design and implement scalable, maintainable, and secure batch & streaming data pipelines and architectures that support enterprise-wide data needs Define standards for data modeling, data product design, and pipeline orchestration using modern tools and cloud-native technologies Collaborate with cross-functional stakeholders to translate business and analytical requirements into end-to-end data More ❯

Enterprise AI Value Strategy Team Lead/Consultant Mid-Level Full time Job Role : Data & AI Consultant - R&D Location: London/Manchester/Edinburgh Career Level : Consultant Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With … and live. It is personal to all of us." - Julie Sweet, Accenture CEO Our Team The Life Sciences industry is experiencing a period of rapid transformation. Advances in AI, data science, and digital platforms are fundamentally reshaping how organisations discover, develop, and bring therapies to patients. At Accenture, we sit at the heart of this evolution-partnering with … the world's leading pharmaceutical and biotech companies to reimagine R&D for a more predictive, efficient, and patient-focused future. Our Data & AI R&D team within the Strategy & Consulting practice is driving this change-combining deep scientific and clinical knowledge with cutting-edge technology and analytics to solve some of the industry's most complex problems. Whether More ❯

Description Continuing Defleet's data led journey and recognising the importance the Data & Analytics team performs in this regard, we are looking for a skilled Lead Data Engineer who is passionate about exploiting data and searching for improvements in our existing processes and technology; can work closely with business teams; drives solutions with a focused mentality … on business value and can lead, influence and drive collaboration across teams and stakeholders. It will focus on expanding the existing mission critical ecosystem of Data and BI systems for analytics and decision making, using Primarily Data Warehouse/Mart, Data Lake, Self Service BI Tools and Data Science/ML platform using Oracle, Snowflake … and AWS tech stack. Qualifications We are looking for a skilled Lead Data Engineer who: Personal Attributes: Self-starter with initiative and enthusiasm Thrives at solving problems with minimal or no direction and developing their own solution Looks at the existing tech landscape and identifies improvements without prompting Desire and ability to continuously learn new technologies and practices and More ❯

Motability Operations is seeking an experienced Product Owner to become an integral part of our Agile development team. In this role, you'll drive the evolution and implementation of data products, ensuring high-quality, accessible, and trusted data that fuels analytics, machine learning, and personalised experiences. You will work cross-functionally to create data products that empower … teams across the business, from marketing to operations, and enable insight-driven decisions. Acting as the bridge between business stakeholders, data scientists, analysts, engineers, and governance teams, you'll manage the data product backlog and ensure continuous delivery of data capabilities that align with enterprise objectives. Acting as a liaison between stakeholders and the development team, you … will translate the product vision into a prioritised & actionable backlog that maximizes business value while ensuring to addresses customer needs. Qualifications Strong experience as a Product Owner or Data Product Owner in Agile environments. Experience managing data products or platforms, ideally customer data platforms (CDPs), data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with More ❯

is seeking an experienced Product Owner to become an integral part of our Agile development team. In this role, you'll drive the evolution and implementation of Finance and data products, ensuring high-quality, accessible, and trusted data that fuels analytics, machine learning, and personalised experiences. You will work cross-functionally to create data products that empower … teams across the business, from marketing to operations, and enable insight-driven decisions. Acting as the bridge between Finance business stakeholders, data scientists, analysts and engineers, you'll manage the Finance product backlog and ensure continuous delivery of capabilities that align with enterprise objectives. Acting as a liaison between stakeholders and the development team, you will translate the product … vision into a prioritised & actionable backlog that maximizes business value while ensuring to addresses customer needs. Qualifications Strong experience as a Product Owner or Data Product Owner in Agile environments. Ideally experience managing Finance and data products or platforms, ideally data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data modelling, data pipelines More ❯

Smart Services Engineering - Graduate Data Science/Analyst page is loaded Smart Services Engineering - Graduate Data Science/Analyst Apply locations DUNDEE, GBR time type Full time posted on Posted 9 Days Ago job requisition id R About NCR Atleos NCR Atleos, headquartered in Atlanta, is a leader in expanding financial access. Our dedicated … employees optimize the branch, improve operational efficiency, and maximize self-service availability for financial institutions and retailers across the globe. Title: Smart Services Engineering - Graduate Data Science Engineer Grade: 9 Location: Dundee, UK Smart Services Engineering - Graduate Data Science Engineer We are looking for Graduates! Our University Hiring vision is to hire and nurture talented graduates … Engineering team where you will be offered mentorship and resources to deliver company value and build your career. Who you are We seek STEM graduates with a background in Data Science or related fields who are passionate about data manipulation and analysis. You will work on challenging global projects requiring smart solutions, supported by experienced team members. More ❯

Head of Data Analytics Department: CSG - Operations Hub (Data/Intelligence/Support) Employment Type: Permanent Location: Remote - England and Wales Description We are recruiting for a Head of Data & Analytics to lead our Data & Analytics team within the CSG Division at DAC Beachcroft. The team provides analytics products to both internal and external clients in … a remote basis with occasional travel as required or from one of our core offices in Birmingham, Newport, Belfast or Glasgow. What you will do? Build and manage the Data & Analytics function, developing and executing a CSG data strategy ensuring alignment with the overall business goals. Lead and implement a comprehensive data strategy aligned with the company … s business objectives, focusing on operational efficiency, risk management and growth. As a key member of the technology team, lead, mentor, develop and manage a high-performing data & analytics team, utilising both in-house and outsourced resources, fostering a culture of delivery and accountability where continuous improvement and business value mindsets are the norm. Establish robust data governance More ❯

Description As a Data Solutions Architect you'll work closely with key stakeholders to map out their data/insights requirements and develop roadmaps and design architecture which you'll communicate effectively to the project teams, implementation teams and end-users - leading top quality solutions design and delivery. Requirements Strong experience as a Cloud data architect Skilled … or more of the following architectural frameworks (TOGAF, ZACHMAN, FEAF) Cloud Experience: AWS or GCP preferred, particularly around migrations and cloud architecture Good technical knowledge and understanding of big data frameworks like Hadoop, Cloudera etc. Deep technical knowledge of database development, design and migration Experience of deployment in cloud using Terraform or CloudFormation Automation or Scripting experience using languages … such as Python & Bash etc. ETL and workflow management knowledge Experience of Agile methodologies Experience in the Financial Services Sector Data Engineering or Data Science experience Job responsibilities Interface with client project sponsors to gather, assess and interpret client needs and requirements. Define architecture vision, roadmaps and strategy while engaging relevant stakeholders to execute. Work across other More ❯

maintaining robust, scalable services that seamlessly integrate with OpenAI's APIs and other AI tools. Your expertise will help drive innovative AI-driven solutions, enhance user experiences through effective data visualization, and ensure the reliability and performance of our applications. Key Responsibilities: Design and Development of Services & APIs: Architect, develop, and maintain scalable Python-based microservices and RESTful APIs … best practices, coding standards, and rigorous testing methodologies. AI & OpenAI Integration: Collaborate with AI engineers to integrate OpenAI's APIs and other AI models into our applications, ensuring smooth data flow and optimal performance. UI Integration & Data Visualization: Develop intuitive dashboards and visualization tools using frameworks such as Streamlit or similar, to present AI outputs and analytics effectively … to end-users. Cross-functional Collaboration: Work closely with data scientists, UI/UX designers, product managers, and other engineering teams to ensure seamless integration, data consistency, and overall service quality. Required Qualifications: Proficiency in Python: Extensive experience (7+ years) with Python development, including writing clean, efficient, and maintainable code. Service & API Development: Proven track record of designing More ❯

60k per annum As a Machine Learning Engineer , you will be part of an MLOps team, working alongside data scientists, software engineers, and other stakeholders to bring machine learning models to life. You will be responsible for deploying, maintaining, and monitoring models in production, improving model performance, and refining the machine learning infrastructure to support business objectives. Your role … will also involve optimizing workflows, integrating CI/CD pipelines, and ensuring the scalability and reliability of AI-driven solutions. Key Responsibilities : Model Deployment : Collaborate with data scientists to deploy machine learning models, ensuring quality and scalability. Pipeline Development : Build and maintain model pipelines to integrate with existing systems and workflows. CI/CD for ML : Design and implement … and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) Experience with cloud platforms (AWS, GCP, Azure) Experience with CI/CD pipelines for machine learning (e.g., Vertex AI) Familiarity with data processing tools like Apache Beam/Dataflow Strong understanding of monitoring and maintaining models in production environments Experience with containerization tools (e.g., Docker) Problem-solving skills with the ability More ❯

us at the heart of trust! As a mid-level Analytics Engineer at Trustpilot, you'll be a crucial bridge between our business and technical teams, directly influencing Analytics, Data Science, Data Engineering, and Product. You'll leverage our cutting-edge modern data stack to expand and enhance our data warehouse, empowering data-driven … decisions across the organisation. This role offers the exciting opportunity to shape our data landscape and contribute to innovative analytics solutions. What you'll be doing: Maintain and evolve our data warehouse and business intelligence tool, providing reliable data access to users throughout Trustpilot Design, build, maintain, and rigorously monitor robust data pipelines and transformative models … using our modern data stack, including GCP, Airflow, dbt, and potentially emerging technologies like real-time streaming platforms Develop and manage reverse ETL processes to seamlessly integrate data with our commercial systems, ensuring operational efficiency Maintain and optimise our Customer Data Platform (CDP, ensuring effective data collection, unification, and routing Administer and support our business intelligence More ❯

and maintaining ML models with performance alerts and dashboards Supporting CI/CD for ML pipelines Developing production-grade APIs (REST/gRPC) to serve models Collaborating with engineers, data scientists & DevOps teams Requirements Your Experience Industry experience in DevOps or MLOps roles (ideally in AWS environments) Hands-on with Docker, Kubernetes, and Terraform Strong scripting skills in Python … Points Experience with observability frameworks like Prometheus or OpenTelemetry Knowledge of ML libraries: TensorFlow, PyTorch, HuggingFace Exposure to Azure or GCP Passion for financial services Qualifications Degree in Computer Science, Engineering, Data Science, or similar What We Offer A collaborative and innovative work environment with excellent career growth opportunities 34 days holiday plus your birthday off (including More ❯

About this job SRG are seeking a highly motivated and skilled data scientist to join our client and to focus on leveraging their proprietary platform to develop novel gene control systems for the cell and gene therapy space. As one of the first hires in this growing company, you will have the unique opportunity to help expand and scale … development. Preparation, processing, cleaning, and annotation of datasets tailored for AI development. Manage the curation of these datasets to support various company projects. Working within a multidisciplinary team, execute data analysis to a high standard and on schedule, to provide accurate data for seamless transition to subsequent project stages, and work closely with team members to inform the … major ML frameworks such as Keras, PyTorch, TensorFlow, or Scikit-Learn. Extensive experience in building and implementing predictive models to design biological sequences and/or analyse biological sequence data (DNA, RNA or protein). Strong ability to communicate complex technical concepts effectively and collaborate closely with both experimental biologists and computational scientists. Exceptional analytical skills with a methodical 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 ❯

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 ❯

Business Unit: Group Risk, Model Risk & Analytics Career Direction : Utilising our Data Role Focus: Risk and Financial Modelling Peer Group : Management & Senior Specialists (B) Salary range: £60,000 - £75,000 per annum Location: UK, Hybrid, with team meetups in one of our hubs (Glasgow/Gosforth) x2 per year Contract type : Permanent Live to inspire change. Live a life … comprehensive test plans across the model lifecycle, including test objectives, scope and success criteria Verifying the quality, consistency and relevance of input datasets by creating appropriate testing pipelines (e.g. data and model drift) using conventional and novel tools relating to data testing Evaluating model performance under stress scenarios and testing model scalability in production-like environments Designing effective … integration testing that ensures seamless data flow and compatibility with overall system architectures Project leading and supporting a team of expert model validators covering an array of model types and performing highly quantitative process verification activities as part of validations Documenting and presenting validation findings to technical forums and governance committees, while producing summary reports and relevant Management Information More ❯

implementing research in software, facilitating analysis in intuitive, readable and reproducible ways; publishing and amplifying the impact of research through interactive technical showcases and visualisations; and scaling and optimising data science and AI research to leverage HPC and GPU infrastructure. Main Duties and Responsibilities 1. Provide leadership of software engineering services managed and delivered by Research Computing as … plans, including policies and procedures, for the delivery of RCaaS research software engineering services. 3. Apply and direct the use of state-of-the-art novel software engineering (including data science and artificial intelligence) techniques to address challenges faced by University of Glasgow researchers. 4. Collaborate closely with academic colleagues to develop and maintain high quality, well-tested … cost recovery. 8. Support research colleagues to access and make the most of University of Glasgow's research computing infrastructure services including provisions for high-performance computing and research data management services. 9. Make a significant expert contribution to major funding bids, internal business cases and related activities where research software engineering is a core dimension. 10. Provide technical More ❯

s tech. The new MLOps team will be responsible for the seamless deployment, monitoring, and maintenance of machine learning models in production. Acting as the critical link between the data science and R&D teams, this team will ensure that ML models transition smoothly from development to production, maintaining high availability, scalability, and performance. Key responsibilities include: Managing … and optimising existing ML model deployments to ensure reliability and efficiency. Continuously improving the architecture, processes, and tools used for model deployment, monitoring, and lifecycle management. Collaborating closely with data scientists to understand and implement model requirements. Partnering with R&D teams to align technical strategies and integrate ML solutions into broader systems. Implementing robust CI/CD pipelines … services (e.g., SageMaker, ECS, Lambda) and cloud environments. Proficiency with containerization and orchestration tools (Docker, Kubernetes). Experience with version control systems and CI/CD pipelines. Knowledge of data engineering concepts (e.g., ETL, data pipelines). Ability to troubleshoot complex production systems. Strong communication and collaboration skills. More ❯

the TRE's foundational workflows for integration into national health research infrastructure. 4. To play a key role to ensure all TRE activities adhere to ISO, NHS, and university data governance. Oversee risk assessments, ethics approvals, and data protection compliance. 5.Responsible for monitoring project budgets, track spending, ensure efficient use of resources, and support in the preparation of … Knowledge Essential: A1. Scottish Credit and Qualification Framework (SCQF) level 9, 10 or 11 (Ordinary/Honours degree or postgraduate qualification) in a relevant field (e.g. project management, health data science, IT, biomedical sciences, or engineering) including being professionally qualified in a relevant discipline, with a broad range of professional experience in a management role(s). A2. … Knowledge of research data environments and health data governance standards (e.g. ISO 27001, GDPR, NHS policies). A3. Practical application and understanding of data protection, GDPR and other statutory requirements and professional guidelines. A4. Strong understanding of project management methodologies (e.g. PRINCE2, Agile, or equivalent). Desirable B1. A working knowledge of public sector policies and procedures More ❯

through Intune, ensuring device compliance and integration with Zero Trust. Harden AKS clusters and cloud-native apps through role-based access control (RBAC), secrets management, and runtime protection. Secure data pipelines and models in AI workloads, implementing guardrails for model integrity and prompt injection defence. Cloud & Network Security Engineer secure access and posture for Cisco Meraki infrastructure and Umbrella … security problems through systems thinking and automation. Strategic, yet pragmatic: balances best practice with business context. Proactive, communicative, and passionate about elevating security posture through innovation. MS Engineer & MS Data Scientist Associate Ability to exercise independent judgment and act on it. Benefits for our U.K. teams include: The choice to work flexibly from home and the office, in line More ❯