1 to 25 of 26 Permanent Data Science Jobs in Edinburgh

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

Data Scientist -UAE National , AWS Generative AI Innovation Center Job ID: Amazon Web Services EMEA Dubai FZ Branch - Q29 Amazon launched the Generative AI Innovation Center (GenAIIC) in June 2023 to help AWS customers accelerate the use of generative AI to solve business and operational problems and promote innovation in their organization. This is a team of strategists, data … and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. ( generative-ai-innovation-center). We're looking for Data Scientists to use generative AI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. You will work directly with customers … joiner, you will initially join our A2C (Associate to Consultant) program for intensive training on AWS technology and delivery approach. Emirati nationality is required. Key job responsibilities As a Data Scientist, you will - Collaborate with AI/ML scientists, engineers, and architects to Research, design, develop, and evaluate cutting-edge generative AI algorithms to address real-world challenges - Interact More ❯

shaping and growing our information warfare research and development portfolio. What You'll Do The Senior Applied Scientist position sits within the Innovation portfolio, where cross-disciplinary teams of data and computer-scientists, engineers and strategists work together to research, design, build and support projects and services across the Spectrum Management, Electromagnetic Warfare (EW) and Information Warfare (IW) domains. … What You'll Bring You are an active researcher in a relevant discipline (behavioural science, applied mathematics or data science, for example) with a social science focus, and are passionate about developing and applying leading edge theory and technology to real-world problems in the national interest. You prefer to work collaboratively in cross disciplinary teams … to achieve complex objectives. Desirable Knowledge and Skills Science : Contribute to the organisation's research goals by leading and conducting research into approaches for: Cognitive behavioural modelling and computational psychology to simulate human-decision making and human-AI teaming. Improve workflow integration; and more broadly, identifying information/influence campaigns. Forecasting the reach and impact of such campaigns, understanding More ❯

our transportation cost auditing platforms effectively audit off-manifest (discrepancies between planned and actual shipping cost). You will build models to improve the quality of financial and planning data by accurately predicting ship cost at a package level. Your models will help forecast the packages required to be picked from shipper warehouses to reduce First Mile shipping cost. … on related business domains. Your models are expected to be of production quality, and will be directly used in production services. You will work as part of a diverse data science and engineering team comprising of other Applied Scientists, Software Development Engineers and Business Intelligence Engineers. You will participate in the Amazon ML community by authoring scientific papers … you are excited by this charter, come join us! Minimum Requirements: Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Experience using Unix/Linux Experience in professional software development PhD, or a Master's More ❯

DATA SCIENTIST (PRICING) £70,000 + BENEFITS PRIMARILY REMOTE If you're are a highly educated individual (MSc, PhD) looking to work on meaningful data science problems in a remote, research-led environment, this could be a great fit. THE COMPANY: I'm working on a fantastic opportunity with a fast-growing SaaS company that's transforming … real commercial problems-everything from demand forecasting to booking behaviour clustering and light NLP use cases. THE ROLE: You'd join a high-calibre team in a full-stack data science role . This role will be deeply analytical and mathematical , with an emphasis on exploratory modelling and research-driven development . You will set and optimise prices … using statistical techniques and bespoke modelling solutions. A Data Scientist (Pricing) will need to: Build prototypes and conduct in-depth experimentation using Python and Pandas Research and develop new pricing models Apply statistical and machine learning techniques Explore and test data-driven approaches to price sensitivity and elasticity Collaborate with a highly technical team YOUR SKILLS AND EXPERIENCE More ❯

Are you passionate about solving complex logistics challenges that directly impact millions of customers? Our Logistics Analytics team is at the forefront of revolutionizing delivery experiences through data-driven solutions and innovative technology. As an Applied Scientist, you will join a team dedicated to optimizing our delivery network, ensuring customers receive their packages reliably and efficiently. We are seeking … drive impactful projects, implement advanced scheduling solutions, and develop scalable processes. In this role, you will have immediate ownership of business-critical challenges and the opportunity to make strategic, data-driven decisions that shape the future of last-mile delivery. Your work will directly influence customer experience and operational excellence. The ideal candidate will possess both research science … comfort with ambiguity. This role offers the opportunity to make a significant impact on one of the world's most sophisticated logistics networks while working with pioneering technology and data science applications. BASIC QUALIFICATIONS 3+ years of building models for business application experience PhD, or Master's degree and 4+ years of CS, CE, ML or related field More ❯

remote members, through the entire product lifecycle. Take ownership of product discovery, strategic roadmaps, and execution while aligning them with business goals and customer needs. Collaborate with designers, engineers, data scientists, and other key stakeholders to develop new features and optimize existing products. Prioritize new features and enhancements using robust product management frameworks. Conduct in-depth user research and … leverage data insights to define problems and validate solutions. Drive decision-making by setting clear priorities and using data (quantitative and qualitative) to measure success. Communicate product strategy, status updates, and potential risks to executive leadership and internal teams. Cultivate solid connections between the sales, marketing, and customer service departments to promote product-focused mindsets across the enterprise. … product strategy, roadmap development, and agile methodologies Demonstrated experience working in cross-functional teams and leading through influence, not authority. Expertise in user research, A/B testing, and data analysis to guide decision-making and product development. Skilled in critical assessment and oversight, with expertise in setting up and supervising key performance indicators and measures of achievement. Passion More ❯

Salary: Up to £25,000 per annum + OTE £30,000 + Benefits Job Description: You will become proficient in a variety of tools across topics such as data-focused coding, data visualisation, Cloud Services, Big Data, and Machine Learning. The role offers versatility, including but not limited to positions like Data Engineer, Data Analyst … Data Scientist, and Information Engineer. Your responsibilities include designing, building, maintaining, and troubleshooting data pipelines that enable organizations to store, process, and analyze data. Ensuring data reliability through testing and debugging will be key, along with optimizing pipelines for scalability and performance. You will handle large sets of structured and unstructured data, ensuring data is … organized and accessible for analysis and investigation. Collaboration is essential; you may work with engineers, developers, data scientists, analysts, and stakeholders to understand their data needs. Experience and Qualifications: Proficiency in Python or similar programming languages is required. A passion for technology and a desire to develop advanced programming skills are essential. We value candidates who embody our 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 ❯

Bonus + Extensive benefits Edinburgh, London or Manchester Hybrid home based – 2 days/week in the office Help us stay ahead of fraud — and shape the future of data-led security. Our client is on the lookout for a dynamic and strategic Fraud Product Owner to lead high-impact, cross-functional teams of data scientists, engineers, and … and drive meaningful change that protects millions of customers. Why this role? Own the vision, strategy, and roadmap for innovative fraud solutions Lead delivery from concept to production across data platforms, orchestration systems, and AI models Influence how the bank tackles fraud with data, tech, and creativity Collaborate with leaders across the bank to shape culture, mindsets, and … outcomes Work in a forward-thinking, agile environment that values storytelling, experimentation, and customer-centricity What we’re looking for: Strong experience in product ownership within fraud, data, or analytics domains Comfortable working with cloud platforms, streaming pipelines , and data science teams Excellent communicator who can translate complex tech into clear business value Agile mindset with a More ❯

experience, business transformation services underpinned by digital enablement to unlock their human potential. Change is faster, bigger and more complex than ever before. We believe Change is human centred, science-based, experience led and value driven. We are growing our practice with ambitions to further scale and are looking for enthusiastic professionals to expand our platform enabled transformation capabilities … define Change Management solutions. Manage key elements of the lifecycle including Business Transformation vision, Leadership Engagement and Advocacy, Change Planning, Culture and Behaviour change, Communications and Storytelling, Behavioural and Data science and Change Measurement along with the supporting operating model and technology enablers. Support the growth of the Change consulting practice through innovation, capability growth, thought leadership, and … Understanding, and experience of end to end technology implementation programme lifecycle, from design through to hypercare. A passion for Innovation and Technology trends, understanding how leading-edge technologies and data can drive organisation objectives while supporting the employee/colleague experience. Strong consulting acumen by demonstrating excellent communication, facilitation and data analysis skills to influence others. Showing ability More ❯

recruit a Senior Software Engineer with proven C#/.Net skills to join its core R&D team. You'll collaborate daily with specialists across software, hardware, algorithmic, and data science functions to help build and refine offerings that analyse, automate and optimise key processes. In return, you'll join a great organisation well versed in keeping their More ❯