15 of 15 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 ❯

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 ❯

JOB TITLE: Data and AI Scientist LOCATIONS: Edinburgh/Bristol/Leeds HOURS: Full-Time WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week or 40% of your time at one of our office sites About the Role At Lloyds Banking Group, we're building the bank of the future, and AI … encouraged and your growth is supported. This role offers a unique opportunity to work on a wide range of AI and ML projects, from model development and validation to data analysis and stakeholder engagement. You'll be joining a team that values curiosity, creativity and continuous learning, and you'll play a key role in helping us unlock the … full potential of data across the Group. Responsibilities Develop AI and ML solutions with guidance, including feature selection, model training and validation Prepare and explore data ahead of modelling Utilise a modern tech stack for data science, including python, google cloud and other tools Work closely with data and ML engineers to develop and scalably More ❯

Apply now to be part of our award-winning team at Sparta Global. About this role You'll become versatile in a wide array of tools across topics covering data focused coding, data visualisation, Cloud Services, Big Data and Machine learning. You will be equipped to work within a variety of roles including but not limited to … Data Engineer, Data Analyst, Data Scientist, Information Engineer. You'll be designing, building, maintaining, and troubleshooting the data pipelines that enable organizations to store, process, and analyse their data, and ensuring the data is reliable through testing and debugging. Looking for efficiencies and optimising the data pipelines for scalability and performance will be … a focus. You'll be handling and working with large sets of structured and unstructured data and will be responsible for ensuring that the data is organized and available for further analysis and investigation. Working with others is key, you could be working with other engineers, developers, data scientists, analysts and even stakeholders to understand their data More ❯

of Products and Applications - Competition & Markets Authority - G6 Belfast, Cardiff, Edinburgh, London, Manchester About the job Job summary The Competition and Markets Authority has established an Executive Directorate for Data, Technology, and Insight (DTI), which encompasses our expertise in data science, data engineering, artificial intelligence, behavioural science, technology insight, and digital forensics, as well as 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 ❯

Talent Acquisition Partner to lead their talent agenda in collaboration with the Director of People and Culture.This dynamic organisation is renowned for delivering cutting-edge solutions in customer strategy, data science, and digital transformation. With a strong reputation across sectors including financial services, energy, and life sciences, they are entering an exciting phase of innovation and expansion-making … and senior leaders to understand workforce needs, advise on market trends, and deliver tailored recruitment solutions that support business objectives. Process Optimisation: Continuously review and improve recruitment processes, leveraging data and technology to drive efficiency, consistency, and inclusivity in hiring practices. Talent Pipeline Development: Build and maintain proactive talent pipelines for critical roles, including early careers programmes, internships, and … CIPD, SHRM) are desirable. Proven experience in talent acquisition, ideally within a fast-paced or professional services environment. Ideally, you will have worked successfully in a specialist Technology or Science-based Talent Acquisition role. Strong understanding of recruitment best practices, sourcing strategies, and employer branding, with experience leveraging technology and data to drive hiring outcomes. Excellent interpersonal and 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 ❯

for Scotland's digital sector, is pleased to launch a new in-person weekly community for technology startup founders. Proudly supported by theBayes Centre, University of Edinburgh, ahub for data-science and AIthat knows the power of fostering innovation, the 'Founders Hub' will consist of a co-working community hosted at the Centre, where ScotlandIS early-stage and More ❯

including venture capitalists, established technology companies, and start-ups. Day Rate: DOE Main Duties: Design, develop, and implement a scalable, AI-driven architecture platform. Work closely with architects and data scientists to embed AI/ML models into the system for enhanced decision-making, such as recommendation engines. Drive the adoption of AI Architect and best practices across the … communities of practice to foster knowledge-sharing and innovation within the organization. Stay updated on the latest architecture and technology trends relevant to financial services, such as cloud computing, data security, AI, and distributed systems. Essential Skills & Experience: 5+ years of experience in at least one of the following: JavaScript, Java, TypeScript, or Python End-to-end Systems Development … Proven ability to architect and build complex systems with a long-term vision Expertise in financial services applications, including knowledge of transaction processing, risk management, and data security. Excellent communication skills, with the ability to present complex architectural ideas to diverse stakeholders. Strong problem-solving and critical thinking skills, with a track record of innovative solution design in complex More ❯

including venture capitalists, established technology companies, and start-ups. Day Rate: DOE Main Duties: Design, develop, and implement a scalable, AI-driven architecture platform. Work closely with architects and data scientists to embed AI/ML models into the system for enhanced decision-making, such as recommendation engines. Drive the adoption of AI Architect and best practices across the … communities of practice to foster knowledge-sharing and innovation within the organization. Stay updated on the latest architecture and technology trends relevant to financial services, such as cloud computing, data security, AI, and distributed systems. Essential Skills & Experience: 5 years of experience in at least one of the following: JavaScript, Java, TypeScript, or Python End-to-end Systems Development … Proven ability to architect and build complex systems with a long-term vision Expertise in financial services applications, including knowledge of transaction processing, risk management, and data security. Excellent communication skills, with the ability to present complex architectural ideas to diverse stakeholders. Strong problem-solving and critical thinking skills, with a track record of innovative solution design in complex More ❯