476 to 500 of 7,690 Analytics Jobs in London

sound architecture decisions.• Demonstrated experience with AI/ML technologies, including LLMs, Retrieval Augmented Generation (RAG), agentic workflows, Natural Language Processing (NLP), and predictive analytics, and the discipline to run them reliably in production.• Track record of building on shared enterprise data platforms (for example Snowflake) and delivering through modern … capability. Lead the forward-engineering central team and its hiring, and capability development.• Platform partnership. Establish the rent-not-build partnership with the Data & Analytics organisation and the shared-service model that serves Risk and Compliance.• Delivery. Deliver priority data products and automation. • Operating disciplines. Own the data-product operating ...

maintain scalable, reliable, and secure data pipelines, working within an established platform and architecture. You'll work closely with peers across Engineering, Data Science, Analytics, and Product to ensure our data infrastructure is efficient and reliable. AI is central to how we work at Zego, and that extends to engineering. … Build and maintain data pipelines, warehouses, and streaming systems within our existing architecture. Ensure data is modelled and structured to meet the needs of analytics, data science, and operational use cases. Contribute to improvements in our data systems and tooling. Collaboration & Delivery Work with teams across the business to understand ...

secure data systems, while supporting the wider team through knowledge sharing and collaboration. You'll work closely with peers across Engineering, Data Science, Analytics, and Product to ensure our data infrastructure is efficient and reliable.While this role doesn't involve line management, you'll be expected to contribute to technical … code.Platform & ArchitectureDesign, build, and maintain scalable and secure data pipelines, warehouses, and streaming systems.Ensure data is modelled and structured to meet the needs of analytics, data science, and operational use cases.Contribute to the evolution of our data architecture, ensuring it can support both current and future business needs.Collaboration & Delivery Partner ...

maintain scalable, reliable, and secure data pipelines, working within an established platform and architecture. You'll work closely with peers across Engineering, Data Science, Analytics, and Product to ensure our data infrastructure is efficient and reliable.AI is central to how we work at Zego, and that extends to engineering. … sharing.Platform & DataBuild and maintain data pipelines, warehouses, and streaming systems within our existing architecture.Ensure data is modelled and structured to meet the needs of analytics, data science, and operational use cases.Contribute to improvements in our data systems and tooling.Collaboration & DeliveryWork with teams across the business to understand requirements and turn ...

partnering with engineering leads and other stakeholders, you will enable teams to access high-quality, reliable and governed data. You will foster advanced analytics, AI and data product development. Your role will drive data ownership, continuous improvement in data infrastructure and governance, ensuring high standards of data quality, governance … product performance to stakeholders, highlighting successes and areas for improvement. Data-Driven Decision Making: Use data to inform product decisions, leveraging customer insights, analytics and experimentation to validate assumptions and prioritize the right features. Collaboration with Engineering Leads Strategic Alignment: Partner with engineering leads to ensure product strategies are technically ...

influencing how data engineering is practised across the organisation. This is an opportunity to have genuine technical influence, working on platform capabilities that support analytics, machine learning, AI initiatives, and data-driven decision-making at scale. You will be expected to be able to drive forward the transition … Spark and Beam Lead the implementation and adoption of data quality, observability, security, testing and deployment including creating and sharing standards Partner closely with Analytics Engineers, Data Scientists, ML Engineers, and product teams to ensure platform capabilities solve real-world problems Evaluate and introduce new technologies, helping the business adopt ...

influencing how data engineering is practised across the organisation. This is an opportunity to have genuine technical influence, working on platform capabilities that support analytics, machine learning, AI initiatives, and data-driven decision-making at scale. You will be expected to be able to drive forward the transition … Spark and Beam Lead the implementation and adoption of data quality, observability, security, testing and deployment including creating and sharing standards Partner closely with Analytics Engineers, Data Scientists, ML Engineers, and product teams to ensure platform capabilities solve real-world problems Evaluate and introduce new technologies, helping the business adopt ...

partnering with engineering leads and other stakeholders, you will enable teams to access high-quality, reliable and governed data. You will foster advanced analytics, AI and data product development. Your role will drive data ownership, continuous improvement in data infrastructure and governance, ensuring high standards of data quality, governance … reports on product performance to stakeholders, highlighting successes and areas for improvement.Data-Driven Decision Making: Use data to inform product decisions, leveraging customer insights, analytics and experimentation to validate assumptions and prioritize the right features.Collaboration with Engineering LeadsStrategic Alignment: Partner with engineering leads to ensure product strategies are technically feasible ...

using technology to solve business problems, working in partnership with our clients to help in achieving their goals. Sword is strengthening its Data, Analytics, AI and automation capability as demand grows for practical, secure and scalable AI transformation. Strategic Value to Sword The AI Solution Architect creates value by connecting … through strong technical leadership and mentoring. AI solutions demonstrate measurable operational, financial or customer value. Essential Experience Proven experience in solution architecture within Data, Analytics, AI or Digital Transformation. Experience delivering enterprise-scale AI, automation or data platform programmes. Strong stakeholder management across business and technology functions. Experience shaping customer ...

effectively with cross‐functional teams to deliver robust data engineering solutions. Key Responsibilities Design, develop, and optimize data pipelines and data modelsusing Snowflakefor enterprise analytics and reporting Write and optimize complex SQL/PL‐SQL queries, procedures, and transformationsto support large‐scale data processing Build and optimize enterprise data warehouse ...

teams.Known to work influencing technical strategy, product direction, and organizational decision-making.DESIRABLE SKILLSExperience leading teams building AI products for financial services, capital markets, research, analytics, or other data-intensive domains.Experience developing multi-agent systems, autonomous workflows, copilots, and intelligent AI assistants.Knowledge of reinforcement learning, fine-tuning, synthetic data generation, model … strategy, influence product direction, and build capabilities that deliver dynamic outcomes for customers worldwide.INDUSTRY LEADERSHIPWork at the forefront of Generative AI, LLMs, Agentic AI, Analytics, and Intelligent Search, helping define the future of AI innovation in financial markets.CAREER GROWTHAccelerate your leadership and technical career through continuous learning, innovation, and exposure ...

shaping proposals and demonstrating technical credibility in client conversations What You Will Bring Required Experience in a decisioning, data science, marketing technology, or customer analytics delivery role Hands-on experience designing and delivering NBA/NBO solutions in a commercial environment Deep understanding of decision logic: suppression, fatigue management, prioritisation … capex/opex business cases Familiarity with real-time streaming technologies in a decisioning context Awareness of data clean rooms and privacy-preserving analytics for audience targeting Bachelor's or Master's degree in a quantitative, technology, or business-related field Who You Are You are a technical specialist ...

influencing **technical strategy, product direction, and organizational decision-making**.## DESIRABLE SKILLS* Experience leading teams building AI products for **financial services, capital markets, research, analytics, or other data-intensive domains**.* Experience developing **multi-agent systems, autonomous workflows, copilots, and intelligent AI assistants**.* Knowledge of **reinforcement learning, fine-tuning … influence product direction, and build capabilities that deliver dynamic outcomes for customers worldwide.## INDUSTRY LEADERSHIPWork at the forefront of **Generative AI, LLMs, Agentic AI, Analytics, and Intelligent Search**, helping define the future of AI innovation in financial markets.## CAREER GROWTHAccelerate your leadership and technical career through continuous learning, innovation ...

platform roadmap, translating company strategy into a sequenced set of technical investments with clear short- and long-term trade-offs documentedWork across data science, analytics, product and software engineering to convert business requirements into platform capabilities, and ensure the platform serves company-wide use casesSet and enforce standards for data … technical capability across the wider data team through code review, documentation and pairing.What you’ll bring:Extensive hands-on experience in data engineering or analytics engineering, with a demonstrable track record of owning platform-level systems end-to-end, not just individual pipelinesExperience designing and operating production data platforms across ...

shaping proposals and demonstrating technical credibility in client conversations What You Will Bring Required Experience in a decisioning, data science, marketing technology, or customer analytics delivery role Hands-on experience designing and delivering NBA/NBO solutions in a commercial environment Deep understanding of decision logic: suppression, fatigue management, prioritisation … capex/opex business cases Familiarity with real-time streaming technologies in a decisioning context Awareness of data clean rooms and privacy-preserving analytics for audience targeting Bachelor's or Master's degree in a quantitative, technology, or business-related field Who You Are You are a technical specialist ...

product team, working closely with product managers and lead engineers to raise engineering quality and shape how modern data products are built for analytics and AI. The Role As a Senior Data Engineer, you will: Design scalable data products within a cross‐functional product team Act as a senior technical ...

measurable business value. This is an excellent opportunity for a graduate or junior technology professional looking to build a career in AI, automation, data analytics and systems integration within a supportive, forward-thinking environment. Key responsibilities include: Developing and enhancing internal AI and automation tools Building and maintaining automation scripts ...

similar environments. Finance transformation experience. Excellent communication and stakeholder management skills. Desirable Skills TOGAF, DAMA‐DMBOK, or similar architecture frameworks. Experience supporting AI, advanced analytics, and machine learning initiatives. Knowledge of SQL and/or Python. LeanIX, ARIS, or other Enterprise Architecture tooling. Geospatial data and digital twin experience. Agile ...

Engineers through pairing, code review and practical guidance, raising capability and embedding best practice across the team Support downstream Power BI and self-service analytics through well-designed, reliable data models Establish clear technical documentation, standards and knowledge-sharing practices Required Experience Strong hands-on Microsoft Fabric experience, including architectural ...

data accuracy, quality, and consistency. Support infrastructure, application, service, and asset inventories. Develop service mapping and governance capabilities. Implement audit and compliance controls. Reporting & Analytics Develop operational and executive dashboards. Create KPI and SLA reporting frameworks. Deliver trend analysis, performance monitoring, and data insights. Implement automated reporting and alerting mechanisms. ...

their application within architecture design GitHub Copilot — practical experience using GitHub Copilot within development/architecture workflows Nice to have AWS certification (Data Analytics Specialty or Solutions Architect) Experience with BI tools (QuickSight, Tableau, Power BI) Infrastructure as Code experience (Terraform/CloudFormation) Industry experience relevant to your business Exposure ...

company is an award-winning data analytics and advisory firm that helps clients understand human and market behaviors to navigate disruption. As catalysts of progress for more than 40 years, our strategies guide the world’s leading brands. We accelerate growth by creating a seamless flow between primary, secondary, syndicated ...

London (Canary Wharf) and requires a minimum of three days on-site presence. Experience Requirements & Qualifications Minimum 5 years of relevant experience in data analytics, data quality, reporting controls, or data transformation programs (preferably in financial services/Capital Markets). Experience working in regulated remediation environments, with exposure ...

call with the recruiter. Technical take-home task (SQL test). Technical Interview with hiring manager. A behavioural interview with the Head of Data Analytics/Science and Fraud Team. Moniepoint is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees ...

firm. As a Data Engineer at JPMorgan Chase within our agile team, you will design and deliver reliable data collection, storage, access, and analytics solutions that are secure, stable, and scalable.. You will develop, test, and maintain essential data pipelines and architectures, supporting various business functions to achieve the firm ...