1,026 to 1,050 of 5,283 Data Science Jobs in the UK

Awards tied to your performance and Benefits | Hear from the team Analytics Engineering at MonzoWe have around 60 Analytics Engineers out of roughly 300 data practitioners in total - and we have big ambitions for the discipline. Analytics Engineering is at the core of how we build our data to enable Monzo to make better and faster decisions by having a performant, scalable and high quality data warehouse. As an Analytics Engineer here you'll be working collaboratively with other disciplines like product, engineering and data science, and we run regular knowledge-sharing sessions ...

Awards tied to your performance and Benefits | Hear from the team Analytics Engineering at MonzoWe have around 60 Analytics Engineers out of roughly 300 data practitioners in total - and we have big ambitions for the discipline. Analytics Engineering is at the core of how we build our data to enable Monzo to make better and faster decisions by having a performant, scalable and high quality data warehouse. As an Analytics Engineer here you'll be working collaboratively with other disciplines like product, engineering and data science, and we run regular knowledge-sharing sessions ...

About Euromonitor Euromonitor International leads the world in data analytics and research into markets, industries, economies and consumers. We provide truly global insight and data on thousands of products and services; we are the first destination for organisations seeking growth. With our guidance, our clients can make bold … strategic decisions with confidence. Purpose of the role The Associate Product Manager will join Research Applications – Data Portfolio team in a permanent full-time role based in London , hybrid model (minimum 3 days a week in the office), reporting to the Senior Product Manager. The role connects business stakeholders ...

build, and deploy intelligent, scalable solutions that integrate machine learning models, event streaming pipelines, and cloud-native services on Azure and AWSArchitect and implement data platforms using Snowflake for analytics and reporting, ensuring seamless integration with broader enterprise data ecosystemsBuild and maintain real-time event streaming architectures (e.g. … Kafka, Azure Event Hubs) to power high-throughput, low-latency financial data flowsDeliver robust full-stack solutions utilising .NET/C# and SQL where appropriate, ensuring clean, maintainable, and well-tested code across the stackLead technical workshops and knowledge-sharing sessions on AI-augmented development, machine learning integration ...

LondonData Engineering & Services – Data Engineering & Services/Employee - Permanent/HybridOur StoryHello there. We’re Zopa.We started our journey back in 2005, building the first ever peer-to-peer lending company. Fast forward to 2020 and we launched Zopa Bank. A bank that listens to what our customers … within one product area. The team has grown significantly as demand for high-quality, consumable datasets has increased. It works closely with Analytics and Data Engineering and is building stronger partnerships across Product and Engineering. The team is friendly, supportive and highly autonomous, with an expectation of high-quality ...

within one product area. The team has grown significantly as demand for high-quality, consumable datasets has increased. It works closely with Analytics and Data Engineering and is building stronger partnerships across Product and Engineering. The team is friendly, supportive and highly autonomous, with an expectation of high-quality … team grows, this role will provide closer leadership and development while helping shape Analytics Engineering standards, tooling and ways of working as Zopa's data and AI capabilities evolve. A Day In The Life: Lead,coachand develop a high-performing Analytics Engineering team. Provide regular feedback, developmentsupportand effective performance ...

heart - in deed, not just wordThe RoleWe’re looking for a hands-on Staff Analytics Engineer to own the delivery of first-class data systems at Taptap Send. This is a senior technical IC role: you’ll design, build and maintain the dbt modelling layer that all teams — from … make decisions.You’ll set the technical bar for Analytics Engineering at TTS. That means owning our thorniest modelling problems, ensuring that trusted, self-serve data is default across the company. If you live and breathe dbt and want to apply that craft to real problems in a rapidly scaling ...

using Docker, Kubernetes, Elastic Container Service, or equivalent technologies in production environmentsStrong experience designing and implementing application programming interfaces, distributed systems, event-driven architectures, data pipelines, PostgreSQL, MongoDB, Redis, vector databases, observability, and automated deployment pipelinesDemonstrated ability to influence technical direction while remaining close to the codebase, mentoring engineers … managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organizationEducationBachelor's degree or higher in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field, or equivalent practical experienceResponsibilitiesDesign, code, and lead delivery of scalable AI platforms and intelligent applications ...

daily productivity tools such as calendars, task managers, and communication apps. Create architectural blueprints for new AI features and services, considering factors such as data flow, processing requirements, and user experience. Establish best practices, coding standards, and architectural guidelines for the development team. Evaluate and recommend new technologies, frameworks … technical stakeholders. Mentor and guide junior architects and engineers, fostering a culture of innovation and technical excellence. Qualifications: Master's or Ph.D. in Computer Science, Software Engineering, or a related field, with 10+ years of experience in software architecture (including 5+ years in AI/ML systems). Proven ...

Docker, Kubernetes, Elastic Container Service, or equivalent technologies in production environments Strong experience designing and implementing application programming interfaces, distributed systems, event-driven architectures, data pipelines, PostgreSQL, MongoDB, Redis, vector databases, observability, and automated deployment pipelines Demonstrated ability to influence technical direction while remaining close to the codebase, mentoring … related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization Education Bachelor's degree or higher in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field, or equivalent practical experience Responsibilities Design, code, and lead delivery of scalable AI platforms ...

Docker, Kubernetes, Elastic Container Service, or equivalent technologies in production environments Strong experience designing and implementing application programming interfaces, distributed systems, event-driven architectures, data pipelines, PostgreSQL, MongoDB, Redis, vector databases, observability, and automated deployment pipelines Demonstrated ability to influence technical direction while remaining close to the codebase, mentoring … related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization Education Bachelor's degree or higher in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field, or equivalent practical experience Responsibilities Design, code, and lead delivery of scalable AI platforms ...

scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.RESPONSIBILITIESAs a software engineer … position on the cutting edge. Or, join our core engineering teams, and elevate all of our businesses by providing reliable, scalable platforms for data engineering, machine learning, networking, developer tooling, collaboration and more.Innovate with UI/UX designers, data scientists, cloud engineers, and more in a collaborative, agile ...

scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.RESPONSIBILITIESAs a software engineer … position on the cutting edge. Or, join our core engineering teams, and elevate all of our businesses by providing reliable, scalable platforms for data engineering, machine learning, networking, developer tooling, collaboration and more.Innovate with UI/UX designers, data scientists, cloud engineers, and more in a collaborative, agile ...

meaningful analytical questions, prepare clinical datasets, generate interactive visualizations, and drive improvements to the DIG analytical platform.Key Responsibilities- Perform exploratory analyses of clinical trial data using interactive R/Shiny applications.- Prepare, integrate, and quality-check clinical datasets for downstream exploratory analyses.- Identify trends, safety signals, efficacy patterns, subgroup … differences, and data quality issues through interactive visualization.- Lead data review sessions and exploratory analysis meetings using interactive visualizations to communicate findings and facilitate scientific discussions.- Translate complex statistical results into clear visual narratives that support clinical decision making.- Collaborate with clinicians, statisticians, programmers, and R application developers ...

scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. RESPONSIBILITIES As a software engineer … position on the cutting edge. Or, join our core engineering teams, and elevate all of our businesses by providing reliable, scalable platforms for data engineering, machine learning, networking, developer tooling, collaboration and more. Innovate with UI/UX designers, data scientists, cloud engineers, and more in a collaborative ...

engineering. Use best practices (e.g., MLOps, AIOps) to improve products/services and processes related to AI. Optimise existing model serving and data pipelines to meet changing performance and security requirements. Hold requirements gathering sessions with business stakeholders and data science teams. Lead functional projects or work … Copilot or similar platforms (e.g., Kiro, Cursor) to enhance productivity and code generation. Knowledge of or experience with MCP to integrate LLMs with external data sources and tools. At JET, this is on the menu: Our teams forge connections internally and work with some of the best‐known brands ...

meeting production standards for latency, scale, monitoring, SLOs, playbooks, and operational excellence.Partner closely with — and raise the technical bar for — ML engineers, product engineers, data scientists, and platform teams across DoorDash, Wolt, and Deliveroo to turn emerging GenAI capabilities into durable platform primitives.Set technical direction for the future … agentic techniques — enabling the next generation of AI-powered products, agents, automation, and personalisation.We’re excited about you because...BSc, MSc or PhD in Computer Science or equivalent5+ years of industry experience in software engineeringDeep backend engineering fundamentals, especially in Python and distributed systems.Track record of designing and owning production ...

Docker, Kubernetes, Elastic Container Service, or equivalent technologies in production environments Strong experience designing and implementing application programming interfaces, distributed systems, event‐driven architectures, data pipelines, PostgreSQL, MongoDB, Redis, vector databases, observability, and automated deployment pipelines Demonstrated ability to influence technical direction while remaining close to the codebase, mentoring … risk awareness, ethical use, governance, evaluation, monitoring, and continuous improvement of AI‐enabled products and services Education Bachelor’s degree or higher in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field, or equivalent practical experience Responsibilities Design, code, and lead delivery of scalable AI platforms ...

building something, rather than maintaining it, this is an unusually good time to join.**Your Team**You’ll be joining a small, close-knit Data platform engineering team of three to five engineers. We’re a team that takes quality seriously, looks out for each other, and gets things … done without a lot of ceremony. Everyone brings something different across cloud infrastructure, data platform, and developer tooling and we rely on that range to solve problems well.We work across time zones with colleagues in Bengaluru and Kraków, so clear communication and good async habits matter. ...

advanced analytics, commercial thinking, and storytelling to influence real business decisions across a multi-market organisation.KEY RESPONSIBILITIESKey ResponsibilitiesDefine and deliver the EMEA customer & marketing data and insights roadmap, aligned to growth, retention, mix, margin, and activation priorities.Interrogate large datasets to surface performance drivers, opportunities, and root causes.Build … scalable Power BI semantic models and dashboards that translate data into clear, actionable insights.Apply advanced analytics (e.g. regression, hypothesis testing) to quantify drivers and support decision-making.Integrate internal and external data sources, embedding robust validation and quality controls.Establish and govern consistent KPIs and measurement frameworks to create ...

machine learning models, natural language processing (NLP), knowledge representation, and reasoning techniques.Integrate AI agents with existing JD.com systems and platforms, ensuring seamless functionality and data flow.Conduct research and experimentation with new AI paradigms and technologies to continuously improve agent performance and capabilities.Collaborate with product managers, data scientists … ensuring high accuracy, reliability, and scalability.Contribute to the development of internal AI frameworks, tools, and best practices.Job Qualifications**Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Robotics, or a related quantitative field.Proven experience (3+ years) in designing and implementing AI agents or intelligent systems.Strong proficiency ...

thinking, and storytelling to influence real business decisions across a multi-market organisation.**KEY RESPONSIBILITIES****Key Responsibilities*** Define and deliver the EMEA customer & marketing data and insights roadmap, aligned to growth, retention, mix, margin, and activation priorities.* Interrogate large datasets to surface performance drivers, opportunities, and root causes.* Build … scalable Power BI semantic models and dashboards that translate data into clear, actionable insights.* Apply advanced analytics (e.g. regression, hypothesis testing) to quantify drivers and support decision-making.* Integrate internal and external data sources, embedding robust validation and quality controls.* Establish and govern consistent KPIs and measurement frameworks ...

Lenovo is seeking an experienced AI Architect specializing in hybrid cloud to shape how AI workloads are designed, placed, and scaled across on-premises data centers, edge environments, and public cloud. This is an architecture leadership role: you will own the reference architectures, decision frameworks, and technical standards that … reference architecture for AI workloads spanning the on-premises GPU estate, edge and device inference, and public cloud. Define the patterns teams use for data pipelines, training and fine-tuning, model serving, and retrieval-augmented systems. Workload Placement and Portability: Establish the decision framework that determines where a given ...

Docker, Kubernetes, Elastic Container Service, or equivalent technologies in production environments Strong experience designing and implementing application programming interfaces, distributed systems, event-driven architectures, data pipelines, PostgreSQL, MongoDB, Redis, vector databases, observability, and automated deployment pipelines Demonstrated ability to influence technical direction while remaining close to the codebase, mentoring … risk awareness, ethical use, governance, evaluation, monitoring, and continuous improvement of AI-enabled products and services Education Bachelors degree or higher in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field, or equivalent practical experience Responsibilities Design, code, and lead delivery of scalable AI platforms and intelligent ...

Docker, Kubernetes, Elastic Container Service, or equivalent technologies in production environments Strong experience designing and implementing application programming interfaces, distributed systems, event-driven architectures, data pipelines, PostgreSQL, MongoDB, Redis, vector databases, observability, and automated deployment pipelines Demonstrated ability to influence technical direction while remaining close to the codebase, mentoring … risk awareness, ethical use, governance, evaluation, monitoring, and continuous improvement of AI-enabled products and services Education Bachelors degree or higher in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field, or equivalent practical experience Responsibilities Design, code, and lead delivery of scalable AI platforms and intelligent ...