976 to 1,000 of 1,080 Data Science Jobs in the UK excluding London

responsible for building innovative products to ensure we continue to deliver optimal experiences for our guests and owners. Work alongside other engineers and a data scientist to provide the best prices for our customers and for the business. Help shape the overall architecture and tech strategy for the pricing More ❯

owner in that context You're comfortable working at pace, managing change and removing uncertainty You have experience collaborating with UX/UI designers, data scientists, and developers A clear and concise communicator, able to bring complex topics to a non-technical audience and infer requirements from non-technical More ❯

Senior Data Scientist Location: London Salary: Up to £80,000 About the Company Our client is one of the UK’s fastest-growing fintech companies, revolutionizing consumer finance by making it faster, cheaper, and more transparent. Backed by leading investors and loved by customers, they’ve rebuilt key financial … foothold in the UK and US markets, they are challenging big banks and outdated systems with cutting-edge technology. The Role As a Senior Data Scientist, you’ll be at the heart of the business, developing state-of-the-art credit risk models to underpin loan and credit card … reliance on a separate ML engineering team. Key Responsibilities Develop proprietary risk models to improve underwriting quality and enhance decision-making. Understand the products, data, and strategies to effectively inform risk modelling. Translate business problems into data-driven solutions and clearly communicate insights. Collaborate with stakeholders and contribute More ❯

production systems. Your role will involve creating custom solutions, integrating AI capabilities into existing software applications, and ensuring reliable performance. You'll collaborate with data scientists, engineers, and domain experts to address real-world challenges across various domains, such as natural language processing, recommendation systems, and computer vision. Main … Missions: Collaborate with data scientists, product managers, and other stakeholders to understand project requirements. Translate theoretical AI algorithms into robust, scalable code. Develop and optimize machine and deep learning models. Test and debug AI software to ensure functionality and reliability. AI deployment in industrial plants. HEALTH, SAFETY & ENVIRONMENTAL RESPONSIBILITIES … peers and members in the department comply with TS16949 policies and procedures. Key Skills and Qualifications: Bachelor's or master's degree in computer science, Software Engineering, or a related field. Proficiency in programming languages (e.g., Python, C#, C++). Experience with deep learning frameworks (e.g., TensorFlow, PyTorch). More ❯

platform for manufacturing that uses AI to improve worker productivity and safety by analyzing manual assembly work. Education Requirements: Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent experience. Experience Requirements: 5+ years of experience building and managing infrastructure at scale, particularly on the … Scaling existing tools. Enhancing automation for scaling infrastructure. Playing a key role in diversifying and scaling platform. Evaluating options to replace existing real-time data pipeline. Providing platform support to engineering. AppTek.ai provides AI-powered speech and language solutions including ASR, NMT, NLP/U, LLMs, and TTS, serving … diverse industries globally. Education Requirements: BS in a field related to Computational Linguistics, Computer/Data Science. Experience Requirements: 2+ years of industry experience (desirable for Site Reliability Engineer role). Other Requirements: Strong knowledge of Linux. Strong knowledge of AWS. Docker. Scripting languages (Bash, Python). Familiarity with More ❯

to translate business requirements into technical solutions. Understanding of business processes. Team and Work Management: Experience with Agile methodologies (Scrum, Kanban) for managing multiple data engineering projects simultaneously. Skilled at task prioritization and delivering on deadlines. Ability to work closely with cross-functional teams, including data scientists, analysts … software engineers, and business stakeholders to align data engineering efforts with business goals. Track the performance of team members, provide constructive feedback, and promote continuous improvement. Ability to efficiently allocate resources to ensure that projects are adequately staffed and scalable as demands grow. Clear and concise communicator, particularly in … DevOps for CI/CD pipeline development and infrastructure as code (IaC). Experience with containerization and orchestration technologies (Docker, Kubernetes). Experience with data integration technologies (e.g., Azure Data Factory, Azure Databricks). Experience with system monitoring tools. Experience with event driven architectures. ⌛️ The Application Timeline A More ❯

Manager to join this highly successful and well-established global software, training and consultancy provider. They are a recognised authority in the world of data science and statistics with an impressive client portfolio in academic and educational institutions as well as the wider corporate world (including banks, government More ❯

promotions available to all? We work with a vast number of clients that are pioneers in the technology space, working with the latest AI, Data Science and next generation Connected Devices which will change the way the world works in coming years. On offer is the unique opportunity More ❯

with user-centricity. Develop and execute research roadmaps. Contribute to product strategy, execution and go-to-market plan Partner with researchers, content & product designers, data scientists or engineers, product managers and software engineers. Key Skills Foundational research experience Statistical evaluation experience Usability testing 5+ years’ experience Worked with a More ❯

accounts and are winning new clients every single month, so we re looking for someone who can confidently deliver a range of roles from data scientists/engineers, network engineers, IT Support, project management and software testers (support will be given, so you don t need previous IT recruitment More ❯

tangible impact. You will be involved in the full software development lifecycle, from requirements gathering to deployment and maintenance, working closely with hardware engineers, data scientists, and aquaculture specialists. Responsibilities Design, develop, and debug embedded software and firmware for a variety of aquaculture monitoring and control systems (e.g., sensor … systems. Work with microcontrollers, microprocessors, and real-time operating systems (RTOS). Implement communication protocols (e.g., MQTT, UART, SPI, I2C, Ethernet, Bluetooth, LoRaWAN) for data transmission and device control. Integrate software with various hardware components, including sensors, actuators, and communication modules. Participate in the full software development lifecycle, including … and system tests to ensure software quality and reliability. Troubleshoot and debug software and hardware issues in embedded systems. Collaborate effectively with hardware engineers, data scientists, and aquaculture experts to define system requirements and ensure seamless integration. Contribute to the continuous improvement of our software development processes and tools. More ❯

tangible impact. You will be involved in the full software development lifecycle, from requirements gathering to deployment and maintenance, working closely with hardware engineers, data scientists, and aquaculture specialists. Responsibilities Design, develop, and debug embedded software and firmware for a variety of aquaculture monitoring and control systems (e.g., sensor … systems. Work with microcontrollers, microprocessors, and real-time operating systems (RTOS). Implement communication protocols (e.g., MQTT, UART, SPI, I2C, Ethernet, Bluetooth, LoRaWAN) for data transmission and device control. Integrate software with various hardware components, including sensors, actuators, and communication modules. Participate in the full software development lifecycle, including … and system tests to ensure software quality and reliability. Troubleshoot and debug software and hardware issues in embedded systems. Collaborate effectively with hardware engineers, data scientists, and aquaculture experts to define system requirements and ensure seamless integration. Contribute to the continuous improvement of our software development processes and tools. More ❯

internal and external customers to inform our strategy and tactics, and whilst you understand the value of instinct, you'll have sound thinking and data to back it up. Your communication methods need be second to none with international customers. Understanding the bigger picture - You will understand where parts … the team and wider organisation. Supporting the user acceptance testing process to make sure that implementation meets the needs of the customers. Collaborating with data scientists, machine learning engineers, and AI specialists to define AI-driven solutions that align with business needs. Gathering and analysing requirements for AI-powered … features Understanding AI model lifecycle management, including data collection, model training, evaluation, and deployment considerations. Assessing ethical and regulatory implications of AI solutions to ensure compliance with education standards. Defining success metrics and KPIs to evaluate the effectiveness of AI-driven features and ensuring alignment with business objectives. Experience More ❯

platform and therapeutics for diseases with a large unmet need. Position Summary: We are seeking a Head of Platform that reports to the Chief Science Officer (CSO) and leads a team of scientists. The role involves leadership over Quotient's lab-based genomics platform, covering the breadth of the … different levels of seniority. Being collaborative is key - this leader will need to engage and integrate across other teams at Quotient, such as in data science, and target discovery science. This role is based in the vicinity of Cambridge UK and will be primarily based on site. All … Key Responsibilities: Lead Quotient's platform technology group, which includes the search and implementation of new technologies, implementation of high-throughput methods, and maximizing data generation throughput and reliability. Drive the operations of our genomics pipeline, delivering upon the core Somatic Genomics projects at the heart of Quotient's More ❯

creates, resources, and grows first-in-category life sciences companies. Position Summary: We are seeking a Head of Platform that reports to the Chief Science Officer (CSO) and leads a team of scientists. The role involves leadership over Quotient's lab-based genomics platform, covering the breadth of the … different levels of seniority. Being collaborative is key - this leader will need to engage and integrate across other teams at Quotient, such as in data science and target discovery science. This role is based in the vicinity of Cambridge UK and will be primarily based on site. All … Key Responsibilities: Lead Quotient's platform technology group, which includes the search and implementation of new technologies, implementation of high-throughput methods, and maximizing data generation throughput and reliability. Drive the operations of our genomics pipeline, delivering upon the core Somatic Genomics projects at the heart of Quotient's More ❯

products. Key Responsibilities: Design, develop, and maintain scalable, high-performance web applications and APIs using Node.js . Work closely with cross-functional teams, including data scientists, engineers, and product managers, to integrate AI-driven capabilities and infrastructure tools into our platform. Build robust backend services to support our platform … s architecture, ensuring security, scalability, and optimal performance. Develop and integrate systems that can handle large datasets and support real-time data processing. Optimise codebase and algorithms to enhance the efficiency and reliability of infrastructure services. Troubleshoot and debug complex technical issues to maintain system stability. Write clean, modular … Experience working with real-time systems , messaging queues, and event-driven architectures. Knowledge of cloud-native applications , serverless architectures, and infrastructure automation. Exposure to data pipelines , data analytics , or large-scale data processing. More ❯

a Product Manager in our AI & Analytics Experiences Squad , you will be responsible for defining, developing, and driving AI-powered solutions that turn IoT data into strategic business insights. Your work will shape how businesses monitor, optimise, and automate their IoT environments using real-time analytics, predictive intelligence, and … AI-driven automation. You will work alongside a cross-functional product squad , including engineers , data scientists , designers , and researchers , to discover and deliver products that are valuable, viable, usable, and feasible. The Product Manager will champion customer needs, translate market opportunities into product strategies, and drive execution from discovery … predictive intelligence, generative AI, and sustainability-focused analytics. To drive this forward, we are looking for a Product Manager who is passionate about AI, data, and delivering high-impact solutions. What We’re All About Wireless Logic is a market leader in IoT connectivity , empowering over 10 million devices More ❯

a Product Manager in our AI & Analytics Experiences Squad , you will be responsible for defining, developing, and driving AI-powered solutions that turn IoT data into strategic business insights. Your work will shape how businesses monitor, optimise, and automate their IoT environments using real-time analytics, predictive intelligence, and … AI-driven automation. You will work alongside a cross-functional product squad , including engineers , data scientists , designers , and researchers , to discover and deliver products that are valuable, viable, usable, and feasible. The Product Manager will champion customer needs, translate market opportunities into product strategies, and drive execution from discovery … predictive intelligence, generative AI, and sustainability-focused analytics. To drive this forward, we are looking for a Product Manager who is passionate about AI, data, and delivering high-impact solutions. What We’re All About Wireless Logic is a market leader in IoT connectivity , empowering over 10 million devices More ❯

a Product Manager in our AI & Analytics Experiences Squad , you will be responsible for defining, developing, and driving AI-powered solutions that turn IoT data into strategic business insights. Your work will shape how businesses monitor, optimise, and automate their IoT environments using real-time analytics, predictive intelligence, and … AI-driven automation. You will work alongside a cross-functional product squad , including engineers , data scientists , designers , and researchers , to discover and deliver products that are valuable, viable, usable, and feasible. The Product Manager will champion customer needs, translate market opportunities into product strategies, and drive execution from discovery … predictive intelligence, generative AI, and sustainability-focused analytics. To drive this forward, we are looking for a Product Manager who is passionate about AI, data, and delivering high-impact solutions. What We’re All About Wireless Logic is a market leader in IoT connectivity , empowering over 10 million devices More ❯

Job Title: Senior Data Scientist (AI & ML) Location: London hybrid Salary: £80-90K + Equity About the Company: A super interesting start-up that is on a mission to take on some of the most complex challenges in the field of predictive models, fraud detection, and AI-powered … insights. What You’ll Do: As a Senior Data Scientist, you will own the product and lead the development of AI features. You’ll be a hands-on “do-er” who’s comfortable rolling up your sleeves and executing. This role is ideal for an individual who excels at … datasets and cutting-edge technologies. You’ll be responsible for: Building and optimising machine learning models using NLP and graph vector DBs Leveraging big data efficiently to create actionable insights Working with large documents, data infrastructure, and containerization Investigating fraud and ethics reports, transforming raw data into More ❯

The Role We're developing a new platform to accelerate our new analytics product development. Working closely with domain experts and data scientists, this role will lead the development of analytics tools for new and innovative products. We're looking for an experienced Software Developer with strong programming and … analytical & problem-solving skills. What you'll do : Lead the software development activities in the Advanced Analytics team. Collaborate with domain experts and data scientists to design and develop analytics software for innovative new products. Develop, maintain, monitor, and support our analytics products, helping to automate and streamline data processes. Partake in code reviews. Help coach and mentor junior team members, data scientists, and domain experts in software development. Experience with Python, C#, and React. Collaborate with wider software teams on standards and processes. Ideally you'll have/be: 5+ years of commercial Software Development Experience. More ❯

this, my client has a passion for data. Not only are they able to consistently deliver impactful stories, but they are able to leverage data science to creative a magnitude of ways to enhance their client’s performance. That’s why they are one of the top agencies More ❯

client is seeking a software engineer to join their team in Mayfair, London. We are looking for a Senior Backend Software Engineer with strong data engineering skills to join a small, agile team developing software solutions for our energy supply and trading functions. Hybrid working is in play, with … days at home. Software Engineer- About the role: My client’s energy business is growing rapidly with a strong focus on using advanced data systems and analytics to deliver exceptional service. We are looking for someone to take ownership of the backend architecture that underpins our analytics applications, user … tools, and automated trading workflows. You will collaborate closely with analysts, data scientists, and business stakeholders to translate requirements into robust, scalable backend solutions. You’ll be responsible for designing and developing services, APIs, data pipelines, and internal applications that integrate analytics and enable better decision-making and More ❯

s success – allowing us to evolve underwriting intelligently and unlock massive scale. We're a multi-disciplined team, bringing together expertise in software and data engineering, full stack development, platform operations, algorithm research, and data science. Our squads focus on delivering high-impact features – we favour a highly … domain subjects Required Skills and Experience: Experience as a mid-senior level engineer working across a modern stack Strong software engineering principles (SOLID, DRY, data modelling) Professional experience with a server-side language, ideally Python Comfortable working with cloud infrastructure, infrastructure as code, familiar with standard logging and monitoring More ❯

Design, develop, and deploy machine learning models and algorithms to address business challenges and opportunities. - Collaborate with cross-functional teams, including software engineers and data scientists, to integrate machine learning solutions into our products and services. - Lead the end-to-end machine learning lifecycle, from data collection and … Optimise machine learning pipelines for efficiency, scalability, and reliability, considering both computational and operational constraints. Requirements: - Bachelor's or master’s degree in computer science, Engineering, Mathematics, or related field. - Proven experience (5+ years) in developing and deploying machine learning models and algorithms in real-world applications. - Strong proficiency More ❯