2,251 to 2,275 of 6,458 Analytics Jobs in England

have experience with all of these):Python and Databricks for Data Science, Spark, MLFlow and Airflow for ML Workflows, Google Cloud Platform for our analytics infrastructure, dbt and BigQuery for data modelling and warehousing.Discover more about our Analytics Community in our blog and explore how we use analytics and Data ...

architecture across batch, micro-batch and streaming, with clear boundaries for system to system integrationDefine the architecture for the semantic layer and self-serve analytics infrastructureDefine non-functional standards covering resilience, backup and restore, disaster recovery, observability and operational readinessDefine platform security and privacy architecture in partnership with Cyber Security … technical direction, work across a mature but evolving data estate, and shape how the platform supports the next generation of AI and analytics use cases.**We anticipate a high volume of applications for this role. If you have not received a response within 14 days, please assume your application ...

decision‐making for our global customers. You will bridge the gap between traditional predictive algorithms and modern generative systems. Your Impact Advanced Modeling & Predictive Analytics: Lead the research, design, and implementation of advanced Machine Learning, Deep Learning, and Timeseries Forecasting models to solve complex enterprise business and planning challenges. Generative … Experience working with scalable cloud infrastructure (AWS, GCP, or Azure) and MLOps tools for model training, monitoring, and deployment. Background in forecasting, planning, or analytics applications. Familiarity with Anaplan or similar enterprise planning platforms. Experience with A/B testing and experimentation frameworks for AI features. Contributions to open‐source ...

will work closely with sales, account management, and delivery teams to identify opportunities, shape solutions, and develop compelling propositions across Application Modernisation, Data & Analytics, AI, and Cloud Platform services. The successful candidate will combine strong technical expertise with commercial awareness, helping customers understand how Azure technologies can address business challenges … teams to identify, qualify, and develop Azure-related opportunities. Engage with customers to understand business objectives, technical challenges, and transformation priorities across applications, data, analytics, automation, and AI. Lead customer discovery sessions, workshops, assessments, and architectural discussions. Develop solution strategies, value propositions, and transformation roadmaps aligned to customer business outcomes. ...

integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions … data our product line emits.Generates data models for their team using firmwide tooling, linear algebra, statistics, and geometrical algorithmsDelivers data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable wayImplements database back-up, recovery, and archiving strategy Evaluates and reports on access control processes ...

Governance (ESG) and Sustainability experience across following areas: ESG Diagnostic and assessment, ESG Policy, Assurance/Control and KPI Design and ESG Data capture, Analytics and Reporting assessment Demonstrate practical design and delivery of latest Cloud ERP solutions (e.g. SAP S/4Hana, Oracle Cloud, etc.)Practical knowledge … latest technologies (Artificial Intelligence, Robotic Process Automation and Analytics) and the application of these in a Finance contextEnterprise cost reduction through methods such as Zero-Based BudgetingWhat other qualifications or skills do I need Excellent degree resultsProfessional Finance or Accounting Qualification (e.g. ACA, CIMA, ACCA) with 1st time passes desirable2 ...

Governance (ESG) and Sustainability experience across following areas: ESG Diagnostic and assessment, ESG Policy, Assurance/Control and KPI Design and ESG Data capture, Analytics and Reporting assessment Demonstrate practical design and delivery of latest Cloud ERP solutions (e.g. SAP S/4Hana, Oracle Cloud, etc.)Practical knowledge … latest technologies (Artificial Intelligence, Robotic Process Automation and Analytics) and the application of these in a Finance contextEnterprise cost reduction through methods such as Zero-Based BudgetingWhat other qualifications or skills do I need Excellent degree resultsProfessional Finance or Accounting Qualification (e.g. ACA, CIMA, ACCA) with 1st time passes desirable2 ...

Industry/SectorNot ApplicableSpecialismIFS - Information Technology (IT)Management LevelManagerJob Description & SummaryAt PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision … making and driving business growth.Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations ...

various user groups and nurture super users. What You Bring: A Bachelor's degree or 5 years of experience in sales operations, business analytics, or a related field. Strong proficiency with CRM systems, especially Salesforce.com, including administration and customisation. Advanced skills in Excel, PowerBI, SQL, and data visualisation tools. Proven … priorities in a fast-paced environment. Preferred Qualifications: Experience in life sciences, healthcare, or related industries. Advanced certifications in relevant areas (e.g., Salesforce, data analytics) are a plus. Experience in project management and process improvement. Ready to Make an Impact? If you're excited about enhancing sales operations and driving ...

xUnit, Jest or Mocha, CI/CD automation, and quality gates—especially for calculation engines requiring reconciliation and regression coverage. Experience building analytics and reporting with BI and data visualization tools, including payroll reconciliation, compensation analytics, and equity reporting. Exposure to mobile ecosystems (iOS and Android) and API design supporting … xUnit, Jest or Mocha, CI/CD automation, and quality gates—especially for calculation engines requiring reconciliation and regression coverage. Experience building analytics and reporting with BI and data visualization tools, including payroll reconciliation, compensation analytics, and equity reporting. Exposure to mobile ecosystems (iOS and Android) and API design supporting ...

Governance (ESG) and Sustainability experience across following areas: ESG Diagnostic and assessment, ESG Policy, Assurance/Control and KPI Design and ESG Data capture, Analytics and Reporting assessment Demonstrate practical design and delivery of latest Cloud ERP solutions (e.g. SAP S/4Hana, Oracle Cloud, etc.) Practical knowledge … latest technologies (Artificial Intelligence, Robotic Process Automation and Analytics) and the application of these in a Finance context Enterprise cost reduction through methods such as Zero-Based Budgeting What other qualifications or skills do I need? Excellent degree results Professional Finance or Accounting Qualification (e.g. ACA, CIMA, ACCA) with ...

RoleWe’re looking for a Data Engineering Manager to help lead and grow our data engineering capability, shaping the platforms and practices that power analytics, insight and AI-driven innovation across the business.This is a great opportunity for someone who enjoys developing people as much as solving complex technical … businessSupporting the design and evolution of our data platform, including pipelines, orchestration, observability, lineage, governance and data qualityPartnering with teams across Product, Engineering, Analytics and Data to understand business needs and translate them into scalable, maintainable data solutionsHelping define and improve data engineering standards around testing, monitoring, documentation, deployment ...

Senior Consultant, you will lead analytics workstreams on client engagements focused on market strategy, ensuring deliverables and client experience are consistently of the highest calibre. You will also provide direction to junior team members, motivating and inspiring them to do their best work.This role is offered on a hybrid basis … expect to be doing during your day to day, although as Ipsos is a dynamic organisation , this may vary as different opportunities arise:Own analytics workstreams end-to-end: scoping, solution design, data planning, timelines and stakeholder alignment for market and brand engagements.Lead market sizing and opportunity assessment: aggregating ...

Operations Manager, you will play a critical role in shaping Sportradar’s commercial strategy. This is a high‐impact position at the intersection of analytics, strategy, and execution, where your work directly informs go‐to‐market decisions, revenue forecasts, and investment priorities. You will own and evolve the revenue models … translate complex data into insights senior leaders rely on. This role is ideal for someone who enjoys solving ambiguous problems, building scalable analytics from the ground up, and partnering closely with commercial leaders to drive growth. Own company-wide revenue forecasting — partnering with Sales and CS leadership to build accurate ...

decisions made within their portfolios from an Investment Risk perspective.Monitor and assess Portfolio Risks (e.g. Factor Risk correlation, Stress Testing) using risk models and analytics tools. Bring up/take further action as required to ensure resolution. Monitor adherence to processes, mandates and client expectations as advised for portfolios. Ensure … variety of business partners, Senior Management and clients (note specifically without providing recommendations to clients).Partner with members of the Risk Measurement (analytics-focused) team to continue to strengthen data quality, explore further analytics capabilities and deliver tools.Contribute to the continued improvement of risk management frameworks, policies and internal risk ...

successfully adopted and operationalized.Maintain stakeholder momentum and manage expectations gracefully during long delivery cycles, keeping partners excited and bought into the long-term analytics vision.Advocate passionately for the analytics function, leveraging high demand for insights to build compelling cases for expanded support.Lead, mentor, and protect a lean team of technical … leadership.Ability to manage a high volume of incoming requests, establish clear operational triage frameworks, and comfortably manage stakeholder expectations.A solid understanding of how product analytics and reporting structures operate (e.g., data flows, modeling, or visualization tools) to effectively translate technical needs, though hands-on coding/modeling is not required.Deep ...

growing client demand for advanced AI and data science solutions. The ideal candidate will have a deep understanding of artificial intelligence, machine learning and analytics, combined with IT consulting experience and domain expertise in financial services. In this role, you will partner with clients to solve complex business challenges … focusing on risk, compliance, and operational efficiency Design and deploy AI-enabled solutions for use cases such as credit scoring, fraud detection, and customer analytics Implement AI governance frameworks including compliance with Basel III, GDPR, and ethical AI practices Lead deployment of MLOps pipelines to transition models from development ...

impossible, applying modern causal inference, statistical modelling and machine learning techniques to generate robust business insights. You will collaborate closely with product, engineering, analytics and business teams to raise the standard of experimentation and evidence-based decision-making across the organisation. This is an opportunity to influence strategic decisions impacting … across one of the world's leading entertainment companies. What You'll Be Doing Develop innovative measurement methodologies across experimentation, causal inference and advanced analytics that improve the quality, reliability and scalability of business decision-making across PlayStation. Design robust measurement approaches across randomised experiments, quasi-experimental methods and observational ...

data driven organisation investing heavily in Azure, Microsoft Fabric, Power BI and AI. The role sits between senior stakeholders and a growing analytics team and suits someone with a strong BI, Product and Business Analysis background.Key Requirements: 5+ years professional experience within Business intelligence Professional experience as a BI/ ...

Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets. Bloomberg has been building Artificial Intelligence applications that offer solutions … organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most. We are looking for Senior GenAI Platform Engineers with ...

About Clearwater AnalyticsClearwater Analytics is a global industry-leading SaaS solution provider for automated investment data management, analytics, and reporting. Each day, the Clearwater solution reports on more than $7.3 trillion in assets for clients that include leading insurers, asset managers, corporations, pension plans, governments, and nonprofit organizations – helping them … this role, benefits include: health/vision/dental insurance, 401(k), PTO, parental leave, and medical leave, STD/LTD insurance benefits. Clearwater Analytics is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation ...

About Us At Oakland, we help businesses unlock the power of their data. Whether it's data strategy, governance, engineering, analytics, or AI, we work with our clients to turn data into real, impactful results. Our team is made up of friendly, hands‐on experts who love solving problems … variety of clients, each with a unique challenge. At Oakland, the work we do is in Data Platforms, Data Management, Data Strategy, AI, and Analytics & Insight so an understanding of these data concepts and the associated architecture is very helpful. You will use technologies across the major cloud stacks (e.g. ...

Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.Bloomberg has been building Artificial Intelligence applications that offer solutions … organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.We are looking for Senior ML Platform Engineers with strong ...

Understanding customer challenges and translating them into technical solutions. Supporting RFPs and solution design. Advising customers on integrations, architecture and implementation approaches. Explaining AI, analytics and data platform concepts to both technical and non‐technical audiences. Working closely with Product, Engineering and Delivery teams throughout the sales cycle. Feeding customer … . AI, Machine Learning or modern data platform knowledge. APIs and systems integration. A consultative mindset. Working knowledge of Python, SQL or modern analytics platforms would be beneficial, but you don’t need to be a software engineer. What Success Looks Like You’ll be someone who enjoys translating technical ...

capabilities to the customer's specific data challenges and business objectivesDesign and execute proof of concept engagements covering financial services use cases including risk analytics, regulatory data platforms, fraud detection, customer intelligence, and AI/ML workloadsDevelop working knowledge of the customer's existing data architecture, cloud environment, and technology … consulting in enterprise B2B technology, with exposure to financial services organisationsSolid understanding of financial services data use cases including risk management, regulatory reporting, fraud analytics, or customer data platformsHands-on experience with cloud data platforms and the ability to build and deliver compelling live demonstrations of complex data solutionsProficiency ...