1,951 to 1,975 of 3,946 Data Science Jobs in the UK

most powerful trading systems in the finance industry. This is a computationally intensive role that will allow you to utilize both your data analysis and technology skills. What We're Looking For Class of 2028: You are a master's or bachelor's student in their penultimate year … study, majoring in a quantitative and/or STEM discipline such as computer science, computer engineering, mathematics or data science for example. You intend to graduate and begin full time employment by August 2028. Clear Communicator: You enjoy building relationships with those you work closely with ...

competitve salary + comprehensive benefits Requirements for Machine Learning Research Engineer You will have a Ph.D from a world‐leading University in a Computer Science, Physics, Maths or similar (we are very keen to hear from those with a Ph.D. directly related to NLP) Experience weighted more towards classic … Level Published papers Good understanding of software engineering concepts Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit‐Learn Data Science experience including working with large data sets Responsibilities for Machine Learning Research Engineer Join a team responsible for investigating the latest research ...

designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge … real operational problems and customer needs Collaborate with engineering and business development teams to demonstrate Anduril's capabilities and value proposition through rigorous, data-driven analysis REQUIRED QUALIFICATIONS Currently possess and be able to maintain an active country specific Secret security clearance 7+ years of experience in Operations Research ...

organisation for an MLOps Technical Manager to lead a growing ML engineering function. This is a genuinely interesting project: you'll work closely with data scientists, maintenance engineers, and cross-functional stakeholders to deliver scalable ML systems - including predictive maintenance, fault detection, and component lifecycle optimisation. … Design and maintain scalable ML infrastructure supporting batch and real-time environments Oversee the implementation of robust ETL/ELT pipelines, feature engineering, and data processing at scale Ensure model training, serving, and monitoring pipelines are production-grade and optimised for performance Develop and maintain React-based frontend interfaces ...

Global Strategic Advisory Consulting Cambridge, United Kingdom | Full time | Hybrid | R1559394 Principal/Sr Principal | DTAS Global Strategic Advisory Consulting IQVIATM is The Human Data Science CompanyTM, focused on using data and science to help healthcare clients find better solutions for their patients. IQVIA offers … advances in healthcare information, technology, analytics and human ingenuity to drive healthcare forward. Job Overview As a Principal or Sr Principal of the DTAS (Data, technology and Advisory Services) Strategic Advisory team, you will work directly with life sciences clients as a trusted partner, helping them navigate complex strategic ...

with modern MVC frameworks such as Spring Boot and convert user stories into functional and rock solid web applications; and also design and implement data APIs and services needed for other applications to consume. You will also be responsible for implementing Big Data solutions that should process billions … ability to challenge architectural decisions constructively, propose alternatives, and guide trade-off discussions. You should have experience in cross-functional collaboration with product and data science teams to align technical solutions with business goals. You will collaborate with the product team to deliver the micro-services, modules ...

will collaborate with stakeholders across the organisation to identify business needs and develop technical solutions that drive results. Your expertise in fullstack development, data science, and financial markets will enable you to make a significant contribution to our team and help drive business success. Key Responsibilities Develop … development lifecycle methodologies and experience with DevOps and CI/CD pipelines. Experience with frontend technologies, including React and Next.js, and JavaScript. Familiarity with data science and analytics techniques, including machine learning and statistical modelling. Experience with database management systems, including relational and NoSQL databases. Experience with Dash ...

designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge … real operational problems and customer needs Collaborate with engineering and business development teams to demonstrate Anduril's capabilities and value proposition through rigorous, data-driven analysis REQUIRED QUALIFICATIONS Currently possess and be able to maintain an active country specific Secret security clearance 3+ years of experience in Operations Research ...

organisation for an MLOps Technical Manager to lead a growing ML engineering function. This is a genuinely interesting project: you'll work closely with data scientists, maintenance engineers, and cross-functional stakeholders to deliver scalable ML systems — including predictive maintenance, fault detection, and component lifecycle optimisation. … Design and maintain scalable ML infrastructure supporting batch and real-time environments Oversee the implementation of robust ETL/ELT pipelines, feature engineering, and data processing at scale Ensure model training, serving, and monitoring pipelines are production-grade and optimised for performance Develop and maintain React-based frontend interfaces ...

traveler trust, consistency, quality, and customer lifetime value. Influence strategy beyond your immediate team by aligning Product, Engineering, Supply, Partnerships, Commercial, Operations, Customer Service, Data Science, Design, and senior leadership. Translate complex traveler and business needs into clear product requirements, user stories, success metrics, and decision frameworks. Create … clarity in complex, cross‐functional decision spaces through concise narratives, data, and artifacts. Use experimentation, analytics, and A/B testing to prioritize opportunities, evaluate impact, and guide trade‐off decisions across platforms and customer journeys. Identify risks, connect key stakeholders, and facilitate critical decisions across the organization. Incorporate ...

capabilities into software applications * Developing tools for image, video and AI visualisation * Building scalable and maintainable software * Integrating applications, services and workflows * Working with data and modern data platforms * Contributing to software architecture and technical direction * Developing automated tests and CI/CD pipelines * Supporting customer demonstrations, trials … APIs and frameworks such as Flask or Django * Git, automated testing and CI/CD * Strong software design and engineering practices * Linux development environments DATA & INTEGRATION * Application or systems integration * Databases such as MongoDB or PostgreSQL * Data lakes/modern data platforms * Event-driven architectures or messaging ...

Software Engineer programme first. You may work with AI-enabled solutions, but if your real focus is artificial intelligence, machine learning or data science, our Data Science programme is likely the better route. Note: We cannot sponsor visas. Locations This programme operates in various UK regional … Scheme open on 10th September and close on the 29th November, except for the London location which closes on 11th October. We keep your data safe. So, we’ll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview ...

Software Engineer programme first. You may work with AI-enabled solutions, but if your real focus is artificial intelligence, machine learning or data science, our Data Science programme is likely the better route. Note: We cannot sponsor visas. Locations This programme operates in various UK regional … Scheme open on 10th September and close on the 29th November, except for the London location which closes on 11th October. We keep your data safe. So, we’ll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview ...

brands through innovative marketing approaches and technology.Make an impactThe Performance Marketing team helps Expedia Group connect travelers with the right travel experiences through data-led, technology-enabled marketing. This role sits at the intersection of search marketing, product strategy, data science, and automation. Y ou will shape … making playbooks for campaign management and optimizationLead AI , automation, and marketing technology initiatives, including dashboards, monitoring systems, and AI - powered workflowsPartner with Product, Engineering, Data Science, and Operations teams to define roadmaps and build solutions that connect business objectives with technical implementationServe as the subject matter expert ...

financial guidance service, with execution in collaboration with Tech Ops. Model safety and performance for customer-facing AI is shared with our Decisioning and Data Science teams: they own what happens inside the model, you own everything surrounding it. Enable the do-ers. Give departments a working answer … risk assessment rather than blanket restriction - and make sure demand arrives through the front door. This role is explicitly not ML model development or data science, general cloud infrastructure ownership, or general engineering delivery - although our squads and engineering leads are customers of the platforms you build. ...

financial guidance service, with execution in collaboration with Tech Ops. Model safety and performance for customer-facing AI is shared with our Decisioning and Data Science teams: they own what happens inside the model, you own everything surrounding it. Enable the do-ers. Give departments a working answer … risk assessment rather than blanket restriction - and make sure demand arrives through the front door. This role is explicitly not ML model development or data science, general cloud infrastructure ownership, or general engineering delivery - although our squads and engineering leads are customers of the platforms you build. ...

traveler trust, consistency, quality, and customer lifetime value. Influence strategy beyond your immediate team by aligning Product, Engineering, Supply, Partnerships, Commercial, Operations, Customer Service, Data Science, Design, and senior leadership. Translate complex traveler and business needs into clear product requirements, user stories, success metrics, and decision frameworks. Create … clarity in complex, cross-functional decision spaces through concise narratives, data, and artifacts. Use experimentation, analytics, and A/B testing to prioritize opportunities, evaluate impact, and guide trade-off decisions across platforms and customer journeys. Identify risks, connect key stakeholders, and facilitate critical decisions across the organization. Incorporate ...

this role, you will develop, test, deploy, and enhance platform capabilities, resolve issues within existing analytics services, and provide hands-on engineering support to Data Scientists and MLOps teams working across a range of technologies. You will operate in a dynamic environment with varied and sometimes unfamiliar technical challenges … requiring strong problem-solving skills, adaptability, and a practical engineering mindset to deliver reliable, scalable, and secure solutions that enable data-driven outcomes for our client. The following is a headline list of the type of tasking that the person in this role may be expected to lead/ ...

this role, you will develop, test, deploy, and enhance platform capabilities, resolve issues within existing analytics services, and provide hands-on engineering support to Data Scientists and MLOps teams working across a range of technologies. You will operate in a dynamic environment with varied and sometimes unfamiliar technical challenges … requiring strong problem-solving skills, adaptability, and a practical engineering mindset to deliver reliable, scalable, and secure solutions that enable data-driven outcomes for our client. The following is a headline list of the type of tasking that the person in this role may be expected to lead/ ...

opportunities. Responsibilities Create content targeted at discretionary portfolio managers. Refine and advance current product offerings. Assist in daily workflow contributing to internal communications and data production. Contribute to research efforts formalizing and building new models. Work with PMs and analysts to answer questions and identify needs and additional features. … Requirements Undergraduate degree or higher in a technical field. Passion for research, markets, and problem solving. Strong written and verbal communication skills. Strategy, data science, or quant research experience at a financial institution. Experience working with time series and point in time data. Strong programming skills in Python ...

capabilities that deliver client value today and help unlock the agent economy of tomorrow. As a Product Director within Payments, specifically within the Chief Data Analytics Office (CDAO), you will define and deliver a new generation of B2B Agentic Commerce products. You will spend time with clients and Payments … holding a high bar on resilience, security and performance so that what ships works. Job Responsibilities Partners with clients, the business, Engineers, Data Scientists, Designers to define, shape and ship the product roadmap Distils signal from a wide range of inputs – client conversations, user research, business strategy, technology ...

insurance provider with ambitious plans to become the best and biggest in the UK market. We’ve made huge investments in our pricing and data capabilities over the past few years, along with nurturing our 4Cs culture. The role As Head of Technical Pricing, you’ll lead an experienced … function of Data Scientists and Actuaries responsible for the models that underpin our pricing decisions. Your remit will span models deployed into live pricing, offline profitability models and the feeder models that support them. You’ll set and deliver a clear technical pricing strategy, promoting innovation and the responsible ...

into realities that transform the world for good. Your impact Jacobs is seeking an experienced Senior/Principal Energy Consultant with strong digital and data capabilities to join our growing UK Energy Advisory business. This role will support the delivery of innovative energy solutions across infrastructure, industrial and built … environment sectors, with a focus on embedding digital tools, data-driven approaches and process optimisation into our service offerings. Key areas of responsibility include energy efficiency, utility optimisation, energy systems analysis, market modelling, forecasting, decarbonisation strategy development and with a focus on the digital transformation of energy advisory services. ...

insurance provider with ambitious plans to become the best and biggest in the UK market. We’ve made huge investments in our pricing and data capabilities over the past few years, along with nurturing our 4Cs culture. The role As Head of Technical Pricing, you’ll lead an experienced … function of Data Scientists and Actuaries responsible for the models that underpin our pricing decisions. Your remit will span models deployed into live pricing, offline profitability models and the feeder models that support them. You’ll set and deliver a clear technical pricing strategy, promoting innovation and the responsible ...

energy trading company generating liquidity across global commodities markets. We combine deep trading expertise with proprietary technology and the power of data science to be the best-in-class. Our understanding of volatile, data-intensive markets is a key part of our edge. At Dare, you will … Leaders across the business to shape a strategy that delivers models that provide our traders with a competitive edge. Using Dare’s proprietary trading data and models to drive trading PNL. Developing trading indicators and strategies powered by machine learning. Partnering with quantitative research and algorithmic trading technology teams. ...