1 to 25 of 33 Data Science Jobs in Edinburgh

Trainee Data Scientist - No Experience Required Are you looking to kick-start a new career as a Data Scientist We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be … pace that suits you.The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all … the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data 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 ❯

Description 9 Months Fixed Term Contract The Data Science role is responsible for using Data Science and modelling techniques to address critical questions for both the business and our customers. This includes understanding the challenges our customers face with regards to electric vehicle (EV) adoption, understanding how rising costs will impact customers' affordability thresholds and identifying … key data points that indicate potential misuse of the Scheme. These are some of the primary issues that this role will help resolve. The role sits within the Data Science and Analytics team and will be primarily focused on using data to identify potential misuse of the Motability Scheme. The postholder will collaborate with key stakeholders … within the business to understand and agree requirements for data can be used to help the business make decisions on tackling this key issue. On a day-to-day basis, the postholder will be tasked with using their technical skills to help the team deliver key pieces of analyses relating to understanding and predicting customer behaviour. They will also More ❯

Move to Skip to Content Link Select how often (in days) to receive an alert: Date: 5 Aug 2025 Location: Edinburgh, GB Company: Royal London Group Job Title: Senior Data Engineer Contract Type: Permanent Working style: Hybrid 50% home/office based Overview: We have a fantastic opportunity for a Senior Data Engineer to join the Core Data Engineering team in our Data & AI Office. The successful candidate can be based at our Edinburgh, Glasgow, or Alderley Edge office locations, offering a hybrid working model. This role involves managing data and technical assets to support analytics, data science, and machine learning projects that drive business insights and decision-making. About the role: The … Data Engineers in the Core Data Engineering Team work collaboratively with their peers in the wider team - the Data Modelling and QA Testing teams, to transform raw data into modelled, curated data assets for use by stakeholders in teams performing BI, analytics, and data science initiatives. The Senior Data Engineer will be 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 ❯

About Smart Data Foundry Smart Data Foundry has a purpose to unlock the power of financial data as a force to improve people’s lives. What we do We enable the research ecosystem to flourish through the provision of research ready real financial data. We create data-driven insights based on real financial data, that … that communicates our work, impact, and insights in a clear, engaging, and human way across web, social media, blogs, and other digital platforms. They will bridge the gap between data science and digital communication, effectively showcasing Smart Data Foundry’s data and products to our target audiences. Content Creation & Storytelling Produce clear, engaging, and insightful content … that translates complex data and insights into accessible narratives Develop blog posts, articles, whitepapers, reports, and case studies in collaboration with data and subject matter experts Position Smart Data Foundry as an industry leader through the creation of compelling thought-leadership content Craft compelling copy for social media, newsletters, and marketing campaigns. Create visually engaging digital assets More ❯

Lead Machine Learning Engineer This role is a senior-level position in data science, centered on applying machine learning to solve complex problems, drive project execution, and mentor team members. The successful candidate will lead and actively contribute to initiatives that leverage advanced analytics to deliver tangible, real-world outcomes. Responsibilities Communicate data-driven insights and strategic … actionable manner. Design and implement predictive models using advanced analytics, including techniques in machine learning, natural language processing (NLP), computer vision, and optimization. Oversee the full lifecycle of multiple data science projects, ensuring effective resource management, resolution of technical challenges, and streamlined code review processes. Provide mentorship and guidance to junior data scientists and analysts, supporting their … technical growth and professional development. Contribute to business development activities by supporting proposal creation and demonstrating the value of data science capabilities to potential clients. Partner with data engineering teams to ensure seamless integration of analytics solutions within client environments. Collaborate with leadership to shape the roadmap for data science initiatives and ensure alignment with 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 ❯

JOB TITLE: Lead Data Scientist LOCATION: Edinburgh, Leeds, Manchester & Bristol HOURS: Full time WORKING PATTERN: Hybrid, 40% (or two days) in an office site About this opportunity At Lloyds Banking Group, we're moving to the next stages of our digital transformation, and it's our job within the Chief Security Office (CSO) to ensure that we keep our … customers, colleagues and assets safe from threat. The CSO's Security Data Services lab have an excellent opportunity for an experienced and dynamic Lead Data Scientist to work with our Analytics and Data Management feature teams. In this role, you'll be at the forefront of redefining how we detect, mitigate, and prevent cyber threats using sophisticated … AI and machine learning. This is a rare opportunity to craft the future of cybersecurity in one of the UK's most data-rich environments. What you'll do Lead the design, development, and deployment of behavioural anomaly detection models using unsupervised learning, deep learning (e.g. auto-encoders), and novelty detection techniques. Lead a team of Data Scientists More ❯

come a long way, there's still so much exciting work to do. Come join us at the heart of trust! From millions of reviews to rich user interaction data, we have a vast amount of behavioral and content data that powers our consumer platform. In the B2C Applied AI team, we're focused on leveraging AI and … ML to improve how people discover, interact with, and trust businesses on Trustpilot. We are seeking a Data Scientist to join our B2C Applied AI team to build intelligent, data-driven product features that improve user experience and deliver business impact. You will collaborate closely with a cross-functional team of engineers, product managers, designers, data analysts … hands-on experience developing and deploying machine learning solutions, especially in areas such as ranking, search, recommendations, and personalization. You'll also demonstrate a strong understanding of user behavior data and how to use it to influence product development. A product mindset and ability to work cross-functionally are essential. What you'll be doing: Great opportunity to make More ❯

transformation, and it's our job within the Chief Security Office (CSO) to ensure that we keep our customers, colleagues and assets safe from threat. The CSO's Security Data Services lab have an excellent opportunity for an experienced and dynamic Lead Data Scientist to work with our Analytics and Data Management feature teams. In this role … mitigate, and prevent cyber threats using sophisticated AI and machine learning. This is a rare opportunity to craft the future of cybersecurity in one of the UK's most data-rich environments. What you'll do Lead the design, development, and deployment of behavioural anomaly detection models using unsupervised learning, deep learning (e.g. auto-encoders), and novelty detection techniques. … Lead a team of Data Scientists Drive innovation in LLM-based security automation, including prompt engineering, RAG pipelines, and fine-tuning of models. Collaborate with Data Engineers to build scalable, secure, and production-ready ML pipelines on GCP. Partner with cyber defence, risk, and compliance teams to ensure models are explainable, ethical, and aligned with regulatory standards (e.g. More ❯

Data Engineer - UK - Remote A leading AI-powered search intelligence platform is hiring a Data Engineer to join their globally recognised data team. If you're passionate about distributed systems, real-time data, and cutting-edge tech, this is your chance to make a real impact at an award-winning AI tech company. About the role … Build and maintain distributed data systems processing millions of data points daily. Design complex Spark jobs, asynchronous APIs, and scalable data pipelines. Collaborate with Data Science and Web teams to deliver user-centric solutions. Use Gen AI tools to accelerate development and improve quality. Requirements: Strong experience with Scala, Java, and distributed systems (Spark). … Hands-on expertise in ETL workflows, orchestration tools, and cloud platforms. Familiarity with Gen AI tools for coding and debugging. Solid understanding of data structures, algorithms, and database technologies. A collaborative mindset and a passion for solving complex problems. Benefits: Trust-Based Vacation Policy - take time off when you need it Private Medical Healthcare Generous Parental Leave & Pension Scheme More ❯

Data Engineer - UK - Remote A leading AI-powered search intelligence platform is hiring a Data Engineer to join their globally recognised data team. If you're passionate about distributed systems, real-time data, and cutting-edge tech, this is your chance to make a real impact at an award-winning AI tech company. About the role … Build and maintain distributed data systems processing millions of data points daily. Design complex Spark jobs, asynchronous APIs, and scalable data pipelines. Collaborate with Data Science and Web teams to deliver user-centric solutions. Use Gen AI tools to accelerate development and improve quality. Requirements: Strong experience with Scala, Java, and distributed systems (Spark). … Hands-on expertise in ETL workflows, orchestration tools, and cloud platforms. Familiarity with Gen AI tools for coding and debugging. Solid understanding of data structures, algorithms, and database technologies. A collaborative mindset and a passion for solving complex problems. Benefits: Trust-Based Vacation Policy - take time off when you need it Private Medical Healthcare Generous Parental Leave & Pension Scheme 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 ❯

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 ❯

Catalog Specialist, WWRR Science Annotation Team In the Worldwide Returns, ReCommerce & Sustainability (WW RR&S) group at Amazon, we are dedicated to 'making zero happen' - zero cost of returns, zero waste, and zero defects - to benefit our customers, company, and environment. We are an agile and inclusive organization that constantly innovates to create long-term value by investing in … our people and our planet, not simply focusing on the bottom line. WW R&R includes business, product, operations, data, and software engineering teams, who together manage the lifecycle of returned and damaged products. In WW R&R, you will partner across these teams to help customers discover great deals on quality used, rentals, and open box items; get … team! We are hiring an experienced Catalog Specialist to help us grow our business in innovative ways. In this role, you will work closely with our product, technology and science teams to support new Machine Learning (ML) models and data science classification algorithm development - all helping to delight our customers through new experiences throughout their Amazon shopping More ❯

you thrive on solving complex challenges, uncovering insights, and driving innovation with advanced analytics? If so, we could have the perfect opportunity for you! We're seeking an experienced Data Scientist to join our award-winning digital team at Stantec. You will be working alongside leading Analysts and Data Engineering experts to transform how we and our clients … from either our Edinburgh. Glasgow, Leeds, Manchester or Warrington offices, with hybrid working allowing for a mix of in-office and home working. What You'll Be Doing Leading Data Science Initiatives - apply your expertise in data modelling, cleansing, and analytics to create innovative solutions that drive digital transformation. Deriving Powerful Insights - use predictive analytics and optimization … techniques to help clients make smarter, data-driven decisions. Building Intelligent Tools - develop automated solutions that enhance efficiency and provide clear, actionable insights. Driving Digital Innovation - work with technology and data to shape digital solutions that transform industry processes. Client Collaboration & Technical Delivery - partner directly with clients in the water industry, understanding their needs, designing solutions, and delivering 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 ❯

This role is for 12-month maternity cover About Smart Data Foundry Smart Data Foundry has a purpose to unlock the power of financial data as a force to improve people’s lives. What we do We enable the research ecosystem to flourish through the provision of research ready real financial data. We create data-driven … insights based on real financial data, that identify areas to inform policy change and enhance regulation. Role Purpose This role is for 12-month maternity cover The Product Owner is responsible for defining and prioritising the product backlog for the Smart Data Foundry (SDF) product portfolio, ensuring that SDF delivery teams deliver high-quality products that meet customer … needs and align with business goals. The role works reports into the Product Manager and works closely with Delivery Manager, Data Science Team and Platform (engineering) Team, as well as wider stakeholders across SDF to build on the product strategy and requirements to create detailed user stories and ensure that the product vision is realised. Key Responsibilities User 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 ❯

challenging the norm. Responsible for the state of the code you both inherit and produce. THE STATS What we're looking for in our next teammate Degree in Computer Science, related field, or equivalent work experience. In-depth knowledge of React Native with Typescript Experience bridging iOS or Android native layers Knowledge of multi-threaded, asynchronous code. Track record … of sports and gaming-stuff we (and millions of fans) live and breathe every day. It's work, but it sure doesn't feel like it. sports trading, innovation, Data science We're the brains behind the odds-the Risk & Trading team that keeps FanDuel sharp, smart, and always one step ahead. Using cutting-edge models and real … power bold moves and smooth experiences that keep our customers coming back for more. Bottom line: if it affects the odds, we're all over it. Product Management, Design, Data, Research We dream it, design it, and deliver it-we're the team behind the experiences customers can't get enough of . click apply for full job details More ❯

the strategic objectives set out by the CSO.These may include submission of grant proposals to Innovate UK or similar body, and provision of testbeds for industry partners and life science companies. We are looking for a highly motivated, innovative, and ambitious person to support the delivery of transformational and innovative change. The post holder will be a part of … the core regional team based in NHS Lothian and will support this exciting programme of work. The post holder is expected to deliver complex clinically led innovation projects including Data Driven Innovation challenges. Working as part of the HISES team and reporting to the Senior Innovation Programme Manager, the postholder will bring expertise in project management and enthusiasm for … and supporting creative, technological solutions to health and care challenges. Offering support, facilitation, progress monitoring and reporting will be core aspects of this role. A background in digital healthcare, data science, innovation and project management would be beneficial. A keen interest in developing robust and novel solutions to key challenges is essential. This role would also be advantageous More ❯

CCaaS transformation programme, managing the migration from Avaya to NICE in partnership with a newly engaged third-party vendor. Collaborate with cross functional teams, including senior leadership, developers, testers, data scientists, and external partners to drive programme success. Proactively identify risks and issues, implement mitigation strategies, and support smooth transitions to new contact centre systems. Monitor programme performance, delivering 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 ❯