22 of 22 Remote/Hybrid Big Data Jobs in England

NASDAQ: EXLS) is a global data and AI company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. Bringing together domain expertise with robust data, powerful analytics, cloud and AI to create agile, scalable solutions and execute complex operations … worlds leading corporations. EXL was founded on the core values of innovation, collaboration, excellence, integrity and respect, creating value from data to ensure faster decision-making and transforming operating models. Key industries include Insurance, Healthcare, Banking and Financial Services, Media, and Retail, among others. Headquartered in New York ...

NASDAQ: EXLS) is a global data and AI company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. Bringing together domain expertise with robust data, powerful analytics, cloud and AI to create agile, scalable solutions and execute complex operations … worlds leading corporations. EXL was founded on the core values of innovation, collaboration, excellence, integrity and respect, creating value from data to ensure faster decision-making and transforming operating models. Key industries include Insurance, Healthcare, Banking and Financial Services, Media, and Retail, among others. Headquartered in New York ...

NASDAQ: EXLS) is a global data and AI company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. Bringing together domain expertise with robust data, powerful analytics, cloud and AI to create agile, scalable solutions and execute complex operations … good match, make an application. EXL was founded on the core values of innovation, collaboration, excellence, integrity and respect, creating value from data to ensure faster decision-making and transforming operating models. Key industries include Insurance, Healthcare, Banking and Financial Services, Media, and Retail, among others. Headquartered ...

Work with us Reporting to the Data Platform Manager, the Data Engineer will ingest data from a range of sources and transform it for downstream use, contributing to data modelling, analysis, and the broader development of the data platform such that the enterprise is provided … with a trusted and reliable data platform. The Data Engineer will join a team establishing a new Data Platform for ETEL, working with other parts of the business to migrate data from legacy systems and establishing pipelines to move data from new applications ...

28457Location: LondonType: Full TimePosted: 2024-08-14Hiring on behalf of a multi-strategy, multi-manager hedge fund is looking for a Data Architecture Lead to join their team. The firm trades globally across multiple asset classes and investment approaches. The primary focus of this role will … buildout and operations of a next generation security master system. In addition to designing and implementing robust data architectures. The successful candidate will lead the security master development team, overseeing the quality, performance, and scalability of the teams' deliverables. Key Responsibilities –Data Architecture and Design: Lead the design ...

Data Engineer/SC Cleared £390 - £500 per day (Inside IR35/Umbrella) Duration: 14 Months (60 Weeks) Location: Hybrid from either Newcastle, London, Manchester or Glasgow (2-3 days per week) Start: ASAP We are looking for an experienced Data Engineer to join a high-profile programme … delivering scalable and robust data solutions within a modern cloud-based environment. This is an excellent opportunity to work with cutting-edge technologies including AWS, Kafka, Kubernetes, Java, and Big Data platforms , helping organisations unlock the value of their data. The Role As a Data Engineer ...

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 … 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 ...

8603Location: London, England, GBType: PermanentSalary: USD excellent salary, bonus, full bens per yearPosted: 2023-11-24Data Engineer to collaborate with data scientists to maintain strict control on data cleaning workflows to power investment decisions. We operate a distributed team and are offering an opportunity to work … remotely. ResponsibilitiesWork closely with the Head of Data Platform to design and build an efficient and scalable data platformDevelop efficient and robust ETL and data management frameworks to collect and deploy large amounts of dataCollaborate with the Head of Data Platform, Data Scientists and Investment ...

review candidates. After applying, you will be invited to create your profile on the Via platform. Your profile stays anonymous until you match. Operations Data Scientist Salary: £45,000 – £53,000 + bonus + benefits Location: Milton Keynes (hybrid: one day a week in the office) Job type: Permanent … full-time About our client We’re working with a well-established organisation looking for an Operations Data Scientist to join its growing Operations Data Science function. You’ll use data science, machine learning and advanced analytics to improve how the business runs. You’ll tackle complex ...

Global SaaS client is now seeking an experienced Data Analyst to join their Global Customer Success Data Science Team for a 9-month contract . You’ll play a pivotal role in improving how they measure and deliver customer success, driving impact across Customer Experience, Digital Experience, Service … Delivery, and Supportability. You will partner closely with cross-functional teams, and ensure that data informs strategy, enhances customer journeys, and scales operational excellence. Key Responsibilities Building robust data foundations : Collaborate with engineering to develop pipelines, improve data integrity, and establish clear metric definitions and governance tailored ...

Global SaaS client is now seeking an experienced Data Analyst to join their Global Customer Success Data Science Team for a 10-month contract . You’ll play a pivotal role in improving how they measure and deliver customer success, driving impact across Customer Experience, Digital Experience, Service … Delivery, and Supportability. You will partner closely with cross-functional teams, and ensure that data informs strategy, enhances customer journeys, and scales operational excellence. Key Responsibilities Building robust data foundations : Collaborate with engineering to develop pipelines, improve data integrity, and establish clear metric definitions and governance tailored ...

Location: London; UKWork type: HybridSeniority: Associate ManagementPrimary skill: Data Science ConsultingPosted: 2026-09-29We're looking for a Data Science Consultant – Life Sciences to join our team in London, UK in a hybrid working mode. In this role, you will help leading pharmaceutical and life sciences organizations … leverage data, AI and advanced analytics to enable transformation across R&D, clinical, and commercial functions. Acting as a trusted advisor, you will design and deliver scalable solutions using machine learning, Generative AI and large language models to address key challenges in drug discovery, clinical development, pharmacovigilance and patient ...

global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. BMI, part of the Fitch Group, is currently seeking a Data Scientist based out of our London office BMI's systematic, independent, and data-driven market insights, analysis and forecasts enable customers to recognize … transparent and can be validated. We build and maintain robust models that our customers use to identify and manage country risks. Joining as a Data Scientist t o support risk research and analysis, you will help shape the strategic decisions of the world’s leading organizations. Candidates will have ...

volume tests. Familiarity with monitoring and observability tools (Grafana, Splunk) and diagnostics platforms (New Relic, Dynatrace). Understanding of containerisation technologies (Docker, Kubernetes) and big data platforms (Databricks). Ability to analyse complex performance issues and provide actionable recommendations. Strong scripting skills (e.g., Python, JavaScript) for test automation … data analysis. Knowledge of Performance Test Strategy and defining Non-Functional Requirements. Proven experience in Performance Testing of cloud-based architectures (Azure, AWS, GCP). Strong knowledge of performance testing methodologies and tools (such as JMeter, LoadRunner, Eggplant Performance, Gatling). Desirable skills: Knowledge of middleware systems (Kafka ...

competitors in the market. Responsibilities: Development of financial pricing libraries, calculators as well as risk/pricing-related algorithms Using our in-house big data language for the large-scale analysis and production of securities data Research and development of market dynamics across multiple asset classes Prototyping ...

competitors in the market. Responsibilities: Development of financial pricing libraries, calculators as well as risk/pricing-related algorithms Using our in-house big data language for the large-scale analysis and production of securities data Research and development of market dynamics across multiple asset classes Prototyping ...

competitors in the market. Responsibilities: Development of financial pricing libraries, calculators as well as risk/pricing-related algorithms Using our in-house big data language for the large-scale analysis and production of securities data Research and development of market dynamics across multiple asset classes Prototyping ...

competitors in the market. Responsibilities: Development of financial pricing libraries, calculators as well as risk/pricing-related algorithms Using our in-house big data language for the large-scale analysis and production of securities data Research and development of market dynamics across multiple asset classes Prototyping ...

competitors in the market. Responsibilities: Development of financial pricing libraries, calculators as well as risk/pricing-related algorithms Using our in-house big data language for the large-scale analysis and production of securities data Research and development of market dynamics across multiple asset classes Prototyping ...

competitors in the market. Responsibilities: Development of financial pricing libraries, calculators as well as risk/pricing-related algorithms Using our in-house big data language for the large-scale analysis and production of securities data Research and development of market dynamics across multiple asset classes Prototyping ...

looking for a Software engineer with strong record in software development and interested in developing services for one of the most internationally used data resources in biological science, UniProt. Our team is very dynamic and interdisciplinary comprising talented and enthusiastic software engineers and bioinformaticians working closely together with biologists … genomics, proteins and proteomics. Duties & Responsibilities As part of your daily work, you will be designing and developing software and APIs for the UniProt data services and website, providing protein information to the scientific community and computational biologists. You will also be working in the design, maintenance and monitoring ...

best customer experience. None of it would be possible without our innovative teams, creating a connected future with technologies like Cloud, AI and big data. What you'll do We're looking for someone who thrives on building resilient platforms, reducing operational complexity and helping engineering teams move faster … improve developer experience and operational excellence using Azure Devops and Github Actions Lead improvements in logging, monitoring, alerting and operational visibility, helping teams make data-driven decisions and resolve issues quickly. Participate in and improve the on-call experience, using engineering and automation to reduce operational burden and improve ...