1,776 to 1,800 of 14,636 Analytics Jobs in the UK

Basic understanding of object-oriented programming, relational databases, data modeling, and SQL. Knowledge of software testing practices, API integrations (REST, SOAP), JDBC, web services, and familiarity with AWS, AI, Analytics, ML, Google Cloud, and containerization (preferred). Basic Qualifications: At least 3 years of hands-on software development or technical consulting experience. B.S./B.A. in Engineering, Computer Science, Information More ❯

will be responsible for overseeing the planning, development, and design of data engineering processes within a customer-facing data warehousing product. This product plays a critical role in delivering analytics solutions for both the State and Commercial sectors. To be successful in this role you will work with the product and engineering team to identify valuable data sources and analyse More ❯

projects based on business needs and strategic goals. Monitor and report on the progress of data engineering projects, addressing any issues or risks that may arise. Collaborate closely with Analytics Leads, Data Architects, and the wider Digital and Information team to ensure seamless integration and operation of data solutions. Develop and implement a robust data operations capability to ensure the More ❯

will be responsible for overseeing the planning, development, and design of data engineering processes within a customer-facing data warehousing product. This product plays a critical role in delivering analytics solutions for both the State and Commercial sectors. To be successful in this role you will work with the product and engineering team to identify valuable data sources and analyse More ❯

based on your skills and experience — talk with your recruiter to learn more. Base pay range Direct message the job poster from Harnham Building Credit Risk, Fraud,and Pricing Analytics Teams in Lending and Insurance I The Talent Driving The Data and AI Revolution £60,000 – £80,000 + up to 15% bonus London (Hybrid Working) An exciting opportunity has More ❯

Sales Lead Scientist Apply locations: London, United Kingdom Time type: Full time Posted on: Posted Yesterday Job requisition id: 30622 About FICO FICO (NYSE: FICO) is a leading global analytics software company, helping businesses in over 100 countries make better decisions. Join our world-class team today and fulfill your career potential! The Opportunity As an AI Pre-Sales Scientist More ❯

Master’s degree (or equivalent) in Operations Research, Computer Science, Engineering, or a related field with a strong focus on optimization. Proven Experience: 5-7+ years in quantitative analytics, data modeling, or operations research, with a deep understanding of optimization techniques and their application in machine learning. Technical Proficiency: Expertise in Python and SQL, with significant experience using optimization More ❯

Spock. Experience with AWS or other distributed cloud solutions. Understanding of system architecture and networking concepts for traffic testing and debugging. Knowledge of video technologies and quality metrics. Data analytics or data science experience. Experience with mobile test automation tools for Android and iOS. UI testing experience using Cypress, JS, or TS for automation. V-Nova has contributed to the More ❯

thousand+ features, policy documents, etc). Enable the collection of new data and the refinement of existing data sources. Help manage day to day operations of the Data Science & Analytics platform (Databricks), and other ML Solutions built & operated tech across various platforms. Coordinate and manage small to medium sized machine learning projects in small cross functional squads. What we’d More ❯

based on clinical protocols. Develop and support relationships with contracted provider office staff that result in continued improvement in quality healthcare outcomes. Responsibilities Performance Area # 1 -Utilization Data Analytics Extract, transfer and download data from various sources Perform exploratory data analysis to uncover trends, patterns, and anomalies Monitor network utilization trends and identify cost saving opportunities Identify members that More ❯

make society safer and keeping the criminals at bay. LexisNexis Risk Solutions is seeking a Product Manager to join our Global Team, who would focus on growing our fraud analytics proposition, helping us fulfil our mission to provide essential insights to advance and protect people, industry and society. You will act as a Product Owner, working in a dynamic team. More ❯

skills. Native or fluent English Language Ability to work collaboratively in a team-oriented environment. 1-2 years' experience with Smartsheet's processes and tools Knowledge of CWM, CRM, analytics, or process automation tools. Entrepreneurial mindset with leadership potential and the ability to take initiative. Comfortable with technology and able to learn new software platforms quickly. Willing to travel periodically More ❯

renowned set of investors, we're the architects of Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations, from advanced analytics to Generative AI. We are seeking a highly analytical and results-driven Senior Revenue Operations Analyst to join our Revenue Operations team in London. This role will primarily support the More ❯

and welcoming environment, for everyone. Your Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present work to clients, disseminating complex information in an easy-to-understand More ❯

Henry Schein One (HSOne) is the global leader in dental management, analytics, communication and marketing software. We deliver innovative dental software and services, combined with expert business coaching, to help connect dental technology so it works as one. When technology connects, more data is shared, more tasks are automated, and more work gets done. Most importantly, dental professionals have more More ❯

Ability to travel when required Preferred and beneficial qualifications: Experience with managed stream-processing services such as Amazon Managed Service for Apache Flink, Kafka Streams, Google Dataflow, Azure Stream Analytics, or Spark Structured Streaming Familiarity with data serialization formats (e.g., Avro, Protobuf, Parquet) Hands-on experience with modern data infrastructures, including data warehouses, data lakes, data lakehouses, and NoSQL databases More ❯

and Commerce solutions from leading platforms (Salesforce, Microsoft, Oracle, etc.) based on client needs. Design robust architectures that integrate CRM and commerce solutions with ERP systems, data platforms, and analytics tools (Tableau, Power BI). Lead large-scale digital transformation projects, ensuring alignment of CRM solutions with ERP, data lakes, cloud infrastructure, and CI/CD frameworks. Work with C More ❯

On/OIDC integration and a deep understanding of OAuth, JWT/JWE/JWS. Solid understanding of backend performance optimization and debugging. Knowledge of AWS SageMaker and data analytics tools. Proficiency in frameworks TensorFlow, PyTorch, or similar. Preferred Qualifications, Capabilities, and Skills: Familiarity with LangChain, Langgraph, or any Agentic Frameworks is a strong plus. Python engineering experience React About More ❯

Define customer lifecycle and segments, establish performance metrics, and create a structured approach to product performance. Manage product roadmaps and launch milestones, integrating customer insights, industry trends, and data analytics to optimise user experience. Work with cross-functional teams to shape and implement app product strategies based on user needs and business plans that extend to our global markets. Empower More ❯

and sentiment from various channels to improve services. 2. Fraud Detection and Prevention Real-Time Monitoring: Implement AI algorithms to detect and flag unusual transactions in real-time. Predictive Analytics: Use machine learning models to predict potential fraud based on historical data and behavioural patterns. 3. Loan Processing Automation Credit Scoring: AI can evaluate creditworthiness more accurately by analyzing a More ❯

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 More ❯

Strong analytical and problem-solving skills. Excellent planning and organising skills Ability to multi-task and deliver both immediate and longer-term tasks Desirable Knowledge Areas: Understanding of data analytics tools (e.g., Power BI, Tableau). Familiarity with compliance standards (e.g., GDPR, ISO 27001). Knowledge of programming languages such as Python , Java , or C# for application customisation. More ❯

and implement scalable data solutions, automate processes and accelerate analytics. - Collaborate with other Business Intelligence Engineers on a WW scope and implement data pipelines to automate manual solutions. - Develop analytics: deep-dive tools, UIs, metrics, and dashboards. - Communicate analytical outputs to stakeholders with a focus on making clear insights and tradeoffs. - Propose and prioritize changes to reporting, create additional metrics More ❯

progress on enhanced risk assessments performed to the AI Triage Group and AI Governance Working Group. Co-ordinate with the Data Privacy and Artificial Intelligence team, Innovation and Data Analytics team, Operational Risk team, Project teams and Business Functions to ensure all relevant input is provided when assessing risks. Prioritise enhanced risk assessment based on business value, project timelines and More ❯

risk management strategies. Risk Analysis: Utilising statistical techniques and data analysis to assess portfolio-level credit risk Portfolio Monitoring: Identifying trends, risks, and opportunities across customer segments using advanced analytics Policy and Strategy Development: Supporting the creation of credit risk policies, underwriting strategies, and pricing Data-Driven Insights: Delivering actionable insights and recommendations to optimise risk-adjusted returns Stakeholder Collaboration More ❯