76 to 100 of 123 Big Data Jobs in England

dedicated Data Science team is at the forefront of revolutionizing pharma intelligence and how patients gain access to life-saving therapies. Armed with cutting-edge technology and a passion for innovation, we leverage the vast landscape of data to extract actionable insights that drive informed decision making. … unique collaborative approach fosters a dynamic synergy between data science and product development. Our deep expertise in machine learning, artificial intelligence, advanced statistical modelling, and big data, combined with our domain knowledge, enables us to deliver comprehensive solutions that empower our clients to stay ahead ...

dedicated Data Science team is at the forefront of revolutionizing pharma intelligence and how patients gain access to life-saving therapies. Armed with cutting-edge technology and a passion for innovation, we leverage the vast landscape of data to extract actionable insights that drive informed decision making. … unique collaborative approach fosters a dynamic synergy between data science and product development. Our deep expertise in machine learning, artificial intelligence, advanced statistical modelling, and big data, combined with our domain knowledge, enables us to deliver comprehensive solutions that empower our clients to stay ahead ...

professionals for this role. \n Ensure you read the information regarding this opportunity thoroughly before making an application. \n JOB DESCRIPTION \n The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity … security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products ...

solid understanding of machine learning and deep learning methods \nPhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science with reasonable industry experience, or an MS with significant industry or research experience in the fieldExtensive experience with machine learning and deep learning … Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goalsExperience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business ...

fraud detection from reactive, rules-based flagging of individual records to proactive, automated discovery of organised fraud networks. The target capability would process client data at production scale, resolve the entities and relationships within it, and surface cross-regime and cross-provider fraud patterns (for example flocking between banks … user centred in your product design. You can define value for products, prioritising a backlog in order to maximise it. You use data to measure the success of products and to support the actions you take. You take into consideration all types of risk in shaping products Customer focus. ...

fraud detection from reactive, rules-based flagging of individual records to proactive, automated discovery of organised fraud networks. The target capability would process Client data at production scale, resolve the entities and relationships within it, and surface cross-regime and cross-provider fraud patterns (for example flocking between banks … user centred in your product design. You can define value for products, prioritising a backlog in order to maximise it. You use data to measure the success of products and to support the actions you take. You take into consideration all types of risk in shaping products Customer focus. ...

Senior Data & Financial Planning Analyst, online gaming, London/majority remote role Newly created, and highly commercial/influential role in a fast growing online gaming business. As Senior Data & Financial Planning Analyst, you will play a key role in strengthening our financial planning, reporting, and business intelligence … range financial planning processes Build and maintain financial models to support strategic and operational decision-making Analyse revenue performance, costs, margins, and profitability drivers Data Analytics & Business Insights Analyse customer, product, and commercial data to generate actionable insights Translate complex datasets into clear recommendations for senior stakeholders Create ...

Lead Data Platform Engineer (DV Clearable) - Up to £140,000 + Benefits UK (Hybrid/Secure Site) Must be eligible for DV clearance (active SC required to start) The Opportunity We are seeking a highly capable Lead Data Platform Engineer to support a major UK Government client, leading … high-performance backend services within a secure, cloud-native environment. You will play a key role in building scalable, resilient, and low-latency data platforms, working with modern open-source and commercial technologies while driving engineering excellence across the team. Key Responsibilities Design, develop, document, and deploy backend services ...

fraud detection from reactive, rules-based flagging of individual records to proactive, automated discovery of organised fraud networks. The target capability would process client data at production scale, resolve the entities and relationships within it, and surface cross-regime and cross-provider fraud patterns (for example flocking between banks … user centred in your product design. You can define value for products, prioritising a backlog in order to maximise it. You use data to measure the success of products and to support the actions you take. You take into consideration all types of risk in shaping products \n Customer ...

channelling our start-up mentality every step of the way – meaning you'll have the opportunity to make a real impact. \n As a Data Scientist at JPMorgan Chase within the International Consumer Bank, you will be a part of a flat-structure organization. Your responsibilities are to deliver … research teams and domain experts to understand business problems. \n Providing stakeholders with timely and accurate reporting. Performing ad hoc analysis based on diverse data sources to give decision-makers actionable insights about the performance of the products, customer behavior and market trends. Presenting your findings in a clear ...

Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform … customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next‐gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. ...

apply quickly in order to maximise your chances of being considered for an interview Read the complete job description below. \n The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity … security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products ...

Goldman Sachs Bank AG is seeking a Data/Machine Learning Scientist in London to leverage cutting-edge AI in financial markets. You will design advanced machine learning models that generate actionable insights and contribute to data-driven product development. The ideal candidate will have a Master … Ph.D. in a quantitative field and hands-on experience in data science, with exceptional Python programming skills and knowledge of big data technologies. This position offers a dynamic work environment with leading-edge projects. #J-18808-Ljbffr ...

Apply below after reading through all the details and supporting information regarding this job opportunity. \n dunnhumby is the global leader in Customer Data Science, partnering with the world's most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight … Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro. \n Joining our Customer Data Science team, you'll work with world class and passionate people to create reusable science modules, ensuring they are productionised, robust and available ...

Aker Systems was founded in 2017 by a team of experienced technology professionals who recognised an opportunity to provide highly secure enterprise data platforms to large organisations. We build and operate ground-breaking, ultra-secure, high performance, cloud-based data infrastructure for the enterprise. Our proprietary technology solutions … drive performance and reduce costs while helping our clients to improve the management and sharing of data across their organisations. In 2024, Aker Systems won the Breakthrough Culture Awards highlighting growth companies putting culture first. In 2020 Aker Systems was recognised as a One to Watch on the Sunday ...

with static code analysis tools and vulnerability management. Proficient in working with either SQL or NoSQL databases. Hands-on experience with Entity Framework and data modelling for performance and scalability. Working experience of any source control, preferably git (e.g. Bitbucket, GitHub, Gitlab) Experience of Continuous Integration and Continuous Deployment …/CD) practices Useful skills: Working knowledge of using GEN AI tools for coding Experience with Python/Scala or big data frameworks (e.g. spark) or Batch Processing. Working knowledge or certifications relevant to public cloud, preferably AWS. Experience with any of streaming, messaging, event bus technologies while ...

Join a leading independent technology and services provider as an OpenSource Data Platform Solution Engineer. Job Overview: Looking for a hands-on Solution Engineer/Architect to design and support large-scale cybersecurity data platforms using open-source technologies. Location: Sheffield Rate: A daily rate, in-scope IR35 … Strategy and Governance, Cyber Sciences and Analytics, Cybersecurity Key Responsibilities: Design end-to-end technical solutions for cybersecurity applications Work on large-scale (petabyte) data platforms Create architecture documents (HLDs/LLDs) Evaluate and standardise open-source technologies Collaborate with engineering and governance teams Ensure solutions meet security, compliance ...

team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied … offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. \n Job responsibilities \n \n Build robust Data Science capabilities which can be scaled across multiple business use cases \nCollaborate with software engineering team to design and deploy Machine Learning services that ...

participation in knowledge‐sharing community. Required Qualifications, Capabilities, and Skills PhD in a quantitative discipline (Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science) or an MS with significant industry or research experience. Solid background in NLP, LLM, and graph analytics plus hands‐on experience and solid … frameworks, outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals, focusing on agentic systems and LLM evaluation. Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business ...

want to help solve the world's toughest problems with big data and AI? This is what we do every day at Databricks! Leading a team of Enterprise Named and Strategic Account Executives, you will be measured by achieving your team's overall quota and growing Databricks consumption. … This team of account executives is passionate about building a data ecosystem for UKI, technically knowledgeable, and have a strong desire to drive value for our customers. You will oversee the Telco & Utilities senior sales team, implementing sales plans, expanding existing business and delivering accurate sales forecasting and reporting. ...

team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied … individual contributor, though there will be optional opportunity for management responsibility dependent on the candidate's experience. \n Job responsibilities \n \n Build robust Data Science capabilities which can be scaled across multiple business use cases \nCollaborate with software engineering team to design and deploy Machine Learning services that ...

platforms that power TradingHub's market-leading trade surveillance solutions. The function encompasses three principal teams: Infrastructure, Calculation and Web, covering our cloud platform, big-data processing framework and user-facing applications. \n The successful candidate will provide strategic and technical leadership across these teams, driving engineering excellence … capability Translate strategic business objectives into scalable, reliable engineering outcomes, owning end-to-end delivery against critical timelines Partner cross-functionally with Product, Data, and Infrastructure teams to align platform direction, data capabilities and system reliability Own the reliability and performance of core systems, including uptime, latency, SLOs ...

high-impact environments? We're looking for a Business Analyst to join our clients established team, working on innovative projects across AI, Cybersecurity, Cloud, Big Data, and Digital Transformation . In this role, you'll help shape the future of national security and deliver solutions that make ...

architecture. Experience in Machine Learning. Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. 5 years of experience with data structures and algorithms. 1 year of experience in a technical leadership role. Experience in Big Data. About the job Google's software engineers … search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer ...

solid understanding of machine learning and deep learning methods PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science with reasonable industry experience, or an MS with significant industry or research experience in the field Extensive experience with machine learning and deep … design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences ...