126 to 150 of 276 Big Data Jobs in London

s team based in central London. The successful Quantitative Analyst will join a small but very talented team and will be expected to interpret, filter, and analyse very large data sets whilst working closely with other analysts and developers. The successful Quantitative Analyst will be a forward-thinking individual who is more than comfortable working to both their own … following: Python, C#, C++, Java Mathematical Modelling Mathematical skills, particularly a keen understanding of probabilities and statistics Analytic mindset Strong communication skills Accuracy and attention to detail Experience in data science (big data, deep learning, machine learning) is beneficial Specific sports trading knowledge is beneficial but not essential If you feel you have the skills and experience More ❯

Title: VP Engineering, Activation WHO WE ARE Choreograph is WPP's global data products and technology company. We're on a mission to transform marketing by building the fastest, most connected data platform that bridges marketing strategy to scaled activation. We work with agencies and clients to transform the value of data by bringing together technology, data and analytics capabilities. We deliver this through the Open Media Studio, an AI-enabled media and data platform for the next era of advertising. We're endlessly curious. Our team of thinkers, builders, creators and problem solvers are over 1,000 strong, across 20 markets around the world. WHO WE ARE LOOKING FOR This position is a hands … Internally, the role is accountable for the successful technical delivery of many products within the Activation product area, entailing hands-on architecture and guidance for the implementation of our data platforms. Externally, the role is the engineering face of Activation, entailing senior stakeholder relationship management, product positioning and customer adoption. The role demands a balance of: deep technical expertise More ❯

all around the world? This is a unique opportunity that combines the ability to build exciting, new user experiences for Amazon's customers, with the opportunity to work with Big Data, Machine Learning, and other advanced techniques to provide the best personalized experience for hundreds of millions of Amazon's customers. More about the role: Our organization is … role will demand resourcefulness and willingness to learn on both the technical and business side. The challenges we take on can involve a mix of large-scale distributed systems, big data technologies, machine learning science, and require a keen sense of customer obsession and long-term strategic thinking. About you: You're a former engineer or scientist who … with senior management on status, risks, and strategy. About our organization: Amazon's Personalization organization is a small, high-performing group that leverages Amazon's expertise in machine learning, big data, and distributed systems to deliver the best shopping experiences for our customers. We work end-to-end, from foundational backend systems to future-forward user interfaces. Our More ❯

Senior Software Engineer (Golang) -London Senior Software Engineer - Golang - London/Home office The company: Through the power of AI and Big Data this company have developed a number of data driven tools and platforms aimed at delivering a transparent financial solution. Focusing purely on sustainable investment! If you want the leave the planet clean and beautiful … for the next generation then you share the ethos of this company. This group has 4 arms: A Data Provider: Assessing the performance and sustainability of companies worldwide. AI: An advisory and technology company with an AI engineer for forecasting investment opportunities Asset Management: Investment management company investing in sustainable equities They focus on R&D of AI, ML … Data, Finance and sustainability. You will be based in the client's London office. There is also the option for Home Office but you will be required to travel to the office when needed so being located within a few hours of Central London would be hugely beneficial. The Job: End to end development of backend systems and services More ❯

problems in advertising fraud detection using deep learning, self-supervised techniques, representation learning and advanced clustering. An ideal candidate should have strong depth and breadth knowledge in machine learning, data mining and statistics. Traffic quality systems process billions of ad-impressions and clicks per day, by leveraging leading open source technologies like Hadoop, Spark, Redis and Amazon's cloud … services like EC2, S3, EMR, DynamoDB and RedShift. The candidate should have reasonable programming and design skills to manipulate unstructured and big data and build prototypes that work on massive datasets. The candidate should be able to apply business knowledge to perform broad data analysis as a precursor to modeling and to provide valuable business intelligence. BASIC … patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS - Experience using Unix/Linux - Experience in professional software development Our inclusive culture More ❯

overseeing projects with teams of up to 40 people with contract values in excess of $1 million Experience in managing enterprise scale migrations, with global deployments ideally within the big data and analytics industry domain Experience of industry project management techniques including agile project delivery ideally with PMI/PRINCE/AGILE certification Excellent communication and analytical skills … commercial focus and will have managed both T&M and Fixed Price project engagements Travel is required up to 10%, more at peak times. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform … to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the More ❯

Team Overview: The CloudKDB team is revolutionizing the architecture of our existing market and trade capture system to enable it to scale and ingest an ever-increasing volume of data sets. The team's vision extends beyond data capture, encompassing the development of innovative applications and advanced analytics directly on top of this data. Development Value: This is … an exceptional opportunity to tackle big data challenges at a Terabyte scale, working in close collaboration with business stakeholders to deliver impactful, data-driven solutions. You will be part of a team managing 50+ servers hosting 200+ globally distributed datasets, providing critical insights to over 600 users. Comprehensive training will be provided on the KDB+ database, and … fostering a culture of continuous improvement. System Optimization: Continually improve the software development lifecycle and the overall quality of the product. Provide support to users in accessing and querying data, ensuring a seamless user experience. Qualifications: Proven ability to lead and mentor a team of developers, fostering a collaborative and high-performing environment. Strong understanding of computing fundamentals: concurrency More ❯

leading flexibility and last-minute availability, it's never too late to make any day extraordinary. Viator. One app, 300,000+ travel experiences you'll remember. The demands for Data Science and Machine Learning are experiencing rapid growth, demanding an enhancement of our Machine Learning Platform's capabilities. To address the increasing traffic and deliver cutting-edge solutions, the … to join and support Viator's growth. This role is a hybrid position based in our London or Oxford office. What you'll do: Our mission is to make data scientists more productive and to enable broader and deeper utilization of machine learning techniques to help improve the business performance. As an ML Ops Engineer, you will play a … many cutting edge technologies around Machine Learning Platform, as also push the boundaries, to test, develop and implement new ideas, technology and opportunities. Your primary responsibilities will include: Empowering Data Science and ML teams, by providing the tools and infrastructure necessary for seamless execution of data science and machine learning tasks. Support tech stack evolution, by developing across More ❯

Manager, Consultant, Solutions Architect, Platform Engineer, Systems Engineer, Cloud Architect etc. - Understand operational parameters and troubleshooting for 2 or more of the following: Compute, Storage, Networking, CDN, Databases, DevOps, Big Data and Analytics, Security, Applications Development - Internal enterprise or external customer-facing experience with the ability to clearly articulate to small and large audiences - Ability to juggle tasks … success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. More ❯

engineering teams that build massively 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. Engineering is at the critical center of our business, and our … dynamic environment requires innovative strategic thinking and immediate, real solutions. Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change, and thrive in a fast-paced global environment. Want to push the limit of digital possibilities? Start here. Fixed Income … and capacity planning Basic Qualifications 3 years or more of relevant work experience Proficiency in one of the following: Python, C, C++, Java, or shell scripting Aptitude for algorithms, data structures, and software design Experience with Linux operating system internals and/or networking concepts Strong analytical skills, with an ability to quickly identify scope and impact of issues More ❯

international security across land, sea and air. They are leaders in highly sensitive international protection and continually seek to lead the way for innovation in their domain. About this Big Data Engineer Role As a Big Data Engineer, you will play a crucial role in creating and maintaining systems to support our client's data science, AI and machine learning workloads. You will be required to work in a collaborative nature with different departments and ensure effective data integration. Why Work as a Big Data Engineer with Our Client? Competitive salary up to £115,000 Flexible working hours Private healthcare Holiday buy and sell Career development Performance bonus What is Expected … of you as a Big Data Engineer with Our Client? UKIC security vetting A minimum of 5 years of experience of working with Big Data as a Data Engineer Excellent communication skills and the ability to work in a collaborative nature with the wider team and explain complex technical details to those of varying technical More ❯

CPG, and Public Services. Consolidated revenues as of $13+ billion. Job Description- Spark - Must have Scala - Must Have Hive/SQL - Must Have Job Description : Scala/Spark • Good Big Data resource with the below Skillset: § Spark § Scala § Hive/HDFS/HQL • Linux Based Hadoop Ecosystem (HDFS, Impala, Hive, HBase, etc.) • Experience in Big data technologies , real time data processing platform(Spark Streaming) experience would be an advantage. • Consistently demonstrates clear and concise written and verbal communication • A history of delivering against agreed objectives • Ability to multi-task and work under pressure • Demonstrated problem solving and decision-making skills • Excellent analytical and process-based skills, i.e. process flow diagrams, business modelling, and functional More ❯

CPG, and Public Services. Consolidated revenues as of $13+ billion. Job Description- Spark - Must have Scala - Must Have Hive/SQL - Must Have Job Description : Scala/Spark • Good Big Data resource with the below Skillset: § Spark § Scala § Hive/HDFS/HQL • Linux Based Hadoop Ecosystem (HDFS, Impala, Hive, HBase, etc.) • Experience in Big data technologies , real time data processing platform(Spark Streaming) experience would be an advantage. • Consistently demonstrates clear and concise written and verbal communication • A history of delivering against agreed objectives • Ability to multi-task and work under pressure • Demonstrated problem solving and decision-making skills • Excellent analytical and process-based skills, i.e. process flow diagrams, business modelling, and functional More ❯

As Manager of Resident Solutions Architects at Databricks, you will provide strategic leadership for delivering professional services engagements to high-value Databricks customers. You will help shape the future big data and machine learning landscape for leading Fortune 500 organizations. You will report directly to the Senior Director, Professional Services in NEMEA. Part of this role will include … capacity, responsible for core aspects of building and managing the Resident Solutions Architect team. Through your oversight and mentorship, this team will guide our largest customers, implementing pipelines spanning data engineering through model building and deployment, plus other technical tasks to help customers get value out of their data with Databricks. Beyond people leadership, your responsibilities will include … with experience with customer engagement Experience with Databricks products, Spark ecosystem, and direct competitors Travel is required up to 10%, more at peak times. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform More ❯

Data Architect (Customer Data) Hybrid 3 days per week in the office (West London) 2 days remote My client, a global institution based in London, are seeking an experienced Data Architect who has a strong background within the customer data space. The Data Architect will be responsible for the implementation, and management of a customer … data domain within the enterprise data architecture to support organisational goals and objectives. The ideal candidate will utilise expertise with tools such as Salesforce or other Customer Data Platforms to integrate customer-related data within the architectural framework. The ideal candidate must have: Substantial experience as a Data Architect Customer Data experience CRM experience … Salesforce ideally) Proven ability to design and implement domain-specific data architectures and models, including conceptual, logical, and physical designs. Experience with data modelling tools and methodologies Expertise in designing and managing data integration pipelines, ETL processes, and data warehousing solutions. Hands-on experience with modern tools and platforms Solid experience with database management systems (e.g. More ❯

Data Scientist - skills in statistics, physics, mathematics, Computer Science, Engineering, Data Mining, Big Data (Hadoop, Hive, MapReduce) This is an exceptional opportunity to work as a Data Scientist within a global analytics team, utilizing various big data technologies to develop complex behavioral models, analyze customer uptake of products, and foster new product innovation. … and reviewing large datasets through advanced quantitative and statistical techniques. Designing, building, and utilizing consumer behavioral forecasting models across different business sectors to maximize opportunities. Leading initiatives to enhance data accuracy, availability, granularity, and coverage. Developing analytics strategies to improve customer and product strategies. Designing better data analysis processes for future use. Proactively deriving actionable insights from large … statistical techniques. Analyzing customer behavior patterns to optimize product performance and customer experience. Building complex behavior forecasting models to identify links between behavior and new opportunities. Manipulating high-level data and presenting findings clearly to senior stakeholders. Supporting the development of analytics strategies to enhance product plans and customer engagement. Ideal candidates are talented scientists with exceptional data More ❯

Job Title: Senior Data Scientist Company - This company is the world's leading marketing data and analytics company.- They have a complete, unique and rounded understanding of how people think, feel and act; globally and locally in over 90 markets.- By combining the deep expertise of our people, our data resources and benchmarks and our innovative analytics … technology, we help our clients understand people and inspire growth. Team - This team is responsible for all the surveys and qualitative/quantitative research they do for clients. - E.g. big brands come to the business to get insight into things like new products, market intel etc and want information from surveys. - They have thousands of people who they pay … don't drink soft drinks!! it's wasted money but also no value and skews results. - Therefore, they need to manually match people to the right surveys. - it's big money and they want to automate it as much as possible. - the more they can segment survey responders the better accuracy they can make their surveys. Responsibilities for the More ❯

We are partnering with a high-growth, international reinsurance firm to appoint a Chief Data Officer (CDO) - a newly created, strategic leadership role at the heart of the business. This is a unique opportunity to shape and lead a firm-wide data strategy in an organisation where data is seen as a true differentiator - powering insights, enhancing … enabling innovation. It would be well-suited to someone who is already operating in a leadership role in the Loyd's of London marketplace i.e. as a Head of Data (or similar), and is looking to step into a C-level role. Key Responsibilities: Define and deliver a comprehensive data strategy aligned with business and revenue goals Own … and evolve the enterprise-wide data model to support analytics and seamless tech integration Collaborate with senior stakeholders to identify and deliver high-impact insights across financial forecasting, segmentation, and carrier analysis Establish and enforce data governance frameworks to ensure quality, integrity, and compliance Enable the use of AI and big data technologies in collaboration with More ❯

We are partnering with a high-growth, international reinsurance firm to appoint a Chief Data Officer (CDO) - a newly created, strategic leadership role at the heart of the business. This is a unique opportunity to shape and lead a firm-wide data strategy in an organisation where data is seen as a true differentiator - powering insights, enhancing … enabling innovation. It would be well-suited to someone who is already operating in a leadership role in the Loyd's of London marketplace i.e. as a Head of Data (or similar), and is looking to step into a C-level role. Key Responsibilities: Define and deliver a comprehensive data strategy aligned with business and revenue goals Own … and evolve the enterprise-wide data model to support analytics and seamless tech integration Collaborate with senior stakeholders to identify and deliver high-impact insights across financial forecasting, segmentation, and carrier analysis Establish and enforce data governance frameworks to ensure quality, integrity, and compliance Enable the use of AI and big data technologies in collaboration with More ❯

We are partnering with a high-growth, international reinsurance firm to appoint a Chief Data Officer (CDO) - a newly created, strategic leadership role at the heart of the business. This is a unique opportunity to shape and lead a firm-wide data strategy in an organisation where data is seen as a true differentiator - powering insights, enhancing … enabling innovation. It would be well-suited to someone who is already operating in a leadership role in the Loyd's of London marketplace i.e. as a Head of Data (or similar), and is looking to step into a C-level role. Key Responsibilities: Define and deliver a comprehensive data strategy aligned with business and revenue goals Own … and evolve the enterprise-wide data model to support analytics and seamless tech integration Collaborate with senior stakeholders to identify and deliver high-impact insights across financial forecasting, segmentation, and carrier analysis Establish and enforce data governance frameworks to ensure quality, integrity, and compliance Enable the use of AI and big data technologies in collaboration with More ❯

We are partnering with a high-growth, international reinsurance firm to appoint a Chief Data Officer (CDO) - a newly created, strategic leadership role at the heart of the business. This is a unique opportunity to shape and lead a firm-wide data strategy in an organisation where data is seen as a true differentiator - powering insights, enhancing … enabling innovation. It would be well-suited to someone who is already operating in a leadership role in the Loyd's of London marketplace i.e. as a Head of Data (or similar), and is looking to step into a C-level role. Key Responsibilities: Define and deliver a comprehensive data strategy aligned with business and revenue goals Own … and evolve the enterprise-wide data model to support analytics and seamless tech integration Collaborate with senior stakeholders to identify and deliver high-impact insights across financial forecasting, segmentation, and carrier analysis Establish and enforce data governance frameworks to ensure quality, integrity, and compliance Enable the use of AI and big data technologies in collaboration with More ❯

Lead Data Scientist - Model Risk Management Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and … at experianplc.com Job Description Our Experian Software Solution's Analytics Services Team supports analytic and generative AI products for decisioning, analytics, and fraud and identity globally. As a Lead Data Scientist, you will use your coding expertise (Python, SAS), model risk management and Gen AI knowledge and experience, and analytic consulting skills to lead client and internal engagements for … Experian's new global product launch and early client success efforts. Responsibilities: Collaborate with Engineering and Data Science teams in the design and implementation of Machine Learning, Dashboarding, Ad Hoc Analysis and AI applications in a cloud-native big data platform. Partner with Leaders, Analytic Consultants, Engineers, Account Executives, Product Managers, and external partners to bring new More ❯

Our Experian Software Solution's Analytics Services Team supports analytic and generative AI products for decisioning, analytics, and fraud and identity globally. As a Lead Data Scientist, you will use your coding expertise (Python, SAS), model risk management and Gen AI knowledge and experience, and analytic consulting skills to lead client and internal engagements for Experian's new global … product launch and early client success efforts. Responsibilities: Collaborate with Engineering and Data Science teams in the design and implementation of Machine Learning, Dashboarding, Ad Hoc Analysis and AI applications in a cloud-native big data platform. Partner with Leaders, Analytic Consultants, Engineers, Account Executives, Product Managers, and external partners to bring new innovative solutions to market … regulatory requirements. Stay informed about regulatory changes, technological advancements, and model risk management processes and controls to ensure the technology stack meets all compliance requirements. Research and integrate new data assets from different sources into Experian's ML and AI platform. Develop and assess analytic tools developed internally and externally. Gather feedback from internal and external clients to guide More ❯

Data Scientist II (Marketing Testing) page is loaded Data Scientist II (Marketing Testing) Apply locations UK - London time type Full time posted on Posted 8 Days Ago time left to apply End Date: July 11, 2025 (5 days left to apply) job requisition id R-95431 Expedia Group brands power global travel for everyone, everywhere. We design cutting … cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Data Scientist II (Marketing Testing) Introduction to team The Traveler Business Team builds and drives growth for our global consumer businesses-Expedia, and Vrbo. This division creates compelling and differentiated … L accountability, and leading cross-functional teams across Expedia Group, who are all held accountable to a single scorecard. If you're as passionate as we are about using data to drive positive change and build an outstanding marketing experience, this may be the role for you! We are looking for a hardworking and intelligent individual to fill the More ❯

include investment allocation and prioritization, P&L accountability, and leading cross-functional teams across Expedia Group, who are all held accountable to a single scorecard. Are you passionate about data, analytics and predictive modelling? Do you want to be at the forefront of a truly customer-centric organization. We are looking for a hardworking and intelligent individual to fill … the Data Scientist III (Individual Contributor) role in the Planning and Insights Analytics team. You will provide powerful analyses and insights and develop business forecast models, capital allocation and strategic planning across Expedia Group brands. This is an exciting opportunity for a team-player who wants to be a central part of a truly customer focused team and a … oversight, enjoy working on multiple tasks and projects at the same time and own projects end to end. Critical to your success in this role is a love of data (we love data!) - developing insightful analysis that you communicate in a clear and compelling way. In this role, you will: Apply advanced analytical techniques, statistical knowledge, machine learning More ❯