626 to 650 of 12,947 Analytics Jobs

IR35, £800 - £950 per day)Willis Re is building its global technology estate from the ground up, unencumbered by legacy and designed around data, analytics and modern cloud platforms. We are looking for a Solution Architect to shape and deliver the solutions that power our reinsurance broking, analytics and client … translate complex business requirements into pragmatic technical designs and to influence stakeholders at all levels.**About Willis Re**We combine specialist broking with analytics, modeling and research to help insurers optimize risk transfer, strengthen balance sheets and achieve sustainable growth. Our approach is relationship-driven, transparent and outcome-focused. ...

Data Scientists and Data Engineers who are passionate about bringing value and knowledge from data. We are all about unlocking insights from data through analytics and making that insight applicable in 1:1 data-driven communication and CRM. Your work will always be firmly anchored in data in a cross … addition, you have: Technical skills A minimum of 5 years of experience in a consultant/business liaison role related to data, BI, analytics or reporting solutions. Can independently design, build, and optimize modern analytics solutions that are scalable, maintainable, and ready for real-world production use. Write, debug ...

while collaborating closely with architects, AI specialists and client stakeholders. You'll play a key role in delivering production-grade data platforms that support analytics, machine learning and AI workloads across industries including financial services, retail and the public sector. Alongside client delivery, you'll contribute to engineering best practices … performance, scalability and cost efficiency. Collaborate with architects and customers to translate business requirements into production-ready data solutions. Support integration with downstream analytics, BI, machine learning and AI workloads. Contribute to CI/CD pipelines, deployment automation and infrastructure-as-code practices. What We're Looking For Essential Strong ...

Data Vault principles and modern data architecture practices. Experience documenting data lineage, metadata and business definitions. Familiarity with cloud-based data platforms and analytics ecosystems. Understanding of data governance, master data and enterprise data management concepts. Experience working in Agile delivery environments. Exposure to data catalogue or metadata management tools. … Experience using Databricks for querying, analysing and transforming data within cloud-based analytics environments.Interested? Apply today for a confidential discussion with our Talent Acquisition team#UST ...

time and batch. This foundational work empowers business users to leverage vast datasets in their planning workflows and forms the bedrock for our advanced analytics and AI initiatives. You'll need deep knowledge of distributed computing, data architecture, and strong software engineering skills to tackle complex, high-scale data challenges.Your … data engineering solutions, including robust ETL/ELT pipelines, API services, and data ingestion frameworks.Design and build the storage and processing layers powering our analytics workloads: data lakes, data warehouses, distributed file systems, and real-time streaming architectures.Engineer feature-rich context pipelines that process large-scale enterprise data, balancing batch ...

data work, you will contribute to early‐stage system definition, requirements analysis, and integration planning. You will help build AI models, data pipelines, analytics tools that support decision‐making and system‐level intelligence across multidisciplinary engineering projects. Key Responsibilities Develop ML models for prediction, classification, anomaly detection, and decision support. … proficiency with experience in NumPy, Pandas, and scikit‐learn. Understanding of ML fundamentals and interest in model development and evaluation. Understanding of data pipelines, analytics workflows, and intelligent systems. Ability to interpret technical requirements and translate them into actionable tasks. Interest in system‐level thinking and multidisciplinary engineering. Nice ...

data needsCommunicate complex data concepts in a way that's accessible to non-technical stakeholdersHelp drive adoption of data-driven thinking and self-serve analytics across the organisationWhat we need from you2-4 years of experience in a data analyst, business analyst or similar analytics roleProficiency ...

Lead finance systems workstreams supporting the divestiture, TSA execution, ERP readiness and transition to the standalone operating model. Drive finance systems strategy, including reporting, analytics, automation, master data governance and process standardisation. Oversee SAP financial processes and integrations, ensuring effective change management and system controls. Lead finance transformation initiatives focused … Report, Procure to Pay and Order to Cash. Experience leading finance systems implementations, upgrades or major transformation programmes. Experience working with reporting and analytics platforms including Power BI, SAP reporting tools and a good working knowledge of technologies such as Microsoft Fabric, Azure Cloud, Power BI, SQL, Python, and R. ...

play a pivotal role in guiding enterprise clients through their data platform modernisation journey, leveraging Microsoft Fabric’s capabilities to enable data democratisation, advanced analytics, and AI-driven insights. As a trusted advisor, you will collaborate with client partners, business stakeholders, and technology teams to define Microsoft Fabric strategies, design … enterprise clients.Strong consulting values with the ability to interface effectively with senior stakeholders.Hands-on experience with SQL, ETL/ELT pipelines, and BI/analytics tools.Deep understanding of the data lifecycle (ingestion, storage, processing, governance, consumption).Ability to link business objectives with technology strategy and execution.Strong problem-solving, analytical ...

achieving good outcomes for consumers; and to comply with the FCA and PRA's Conduct Rules. Key Responsibilities The development of data ingest, transformation, analytics, and data publishing pipelines, facilitating complex data transformations to meet business requirements, ensuring optimal performance and efficiency of the data platform. Support for the live … automated testing, data validation and code assurance Demonstrable experience of working within Agile Delivery projects An understanding of data formats for ingest, transformation and analytics, data security, access control and authorisation, GDPR, data privacy, and information security Awareness of data models in a Medalion Architecture Experience building Semantic, Metric ...

architectures (Azure & AWS). AI & Machine Learning Exposure: Experience designing architectures that support AI/ML workloads, including integrating Large Language Models (LLMs), predictive analytics, and vector search into enterprise applications. Enterprise Governance & Security: Deep understanding of security architecture, secure SDLC practices, data privacy, and compliance requirements typical … will be architecting solutions within a broadly evolving and heterogeneous technology landscape, notably encompassing: Compute & Services: Java, .NET, Python, Cloud-native microservices Data & Analytics: Databricks, Microsoft Fabric, AWS Glue, Athena, Event Streaming (e.g., Kafka) AI & ML: Azure OpenAI, LLM Integration patterns, Vector Databases Integration & Storage: Azure Data Factory ...

offering at Deloitte.A well-designed data solution architecture sits at the core of our clients’ strategy to enable the effective deployment of advanced analytics and AI models to gain competitive advantage in their respective industries and deliver better products and services to their customers. Whether it is designing a modern … consistently and efficiently for required purposesContribute to assessing the as-is solution and suggesting target solution architectures leveraging your expertise in Data & AI/Analytics tools and Cloud technologiesSupport the creation of strategic roadmaps for Data & AI capabilities required to support the clients’ AI ambitionContribute to client project delivery ...

scalable, reliable, and business-aligned. This role is pivotal in enabling clients to harness the power of streaming data, data lakes, lakehouses, and advanced analytics platforms, while guiding them on their data modernization journeys. As a trusted advisor, you will collaborate with executives, stakeholders, and technical teams to define modern … Strong consulting values with the ability to engage effectively with senior client stakeholders. Hands-on experience across the data lifecycle: ingestion, storage, transformation, governance, analytics, and consumption. Deep understanding of data product strategies, Data Mesh, and Data Fabric concepts. Ability to align data strategies with business objectives, driving measurable value. ...

data. You will be expected to: Design, implement and maintain Azure Data Lake Storage solutions that effectively store and manage data for enterprise-level analytics Collaborate cross-functionally to integrate Azure Synapse into our data ecosystem, enabling efficient data processing and analytics Develop and maintain robust data pipelines to Extract ...

with achieving good outcomes for consumers; and to comply with the FCA and PRA's Conduct Rules.Key Responsibilities: The development of data ingest, transformation, analytics, and data publishing pipelines, facilitating complex data transformations to meet business requirements, ensuring optimal performance and efficiency of the data platform.Support for the live platform … automated testing, data validation and code assurance Demonstrable experience of working within Agile Delivery projects An understanding of data formats for ingest, transformation and analytics, data security, access control and authorisation, GDPR, data privacy, and information security Desirable:Financial services experience Awareness of data models in a Medalion ArchitectureExperience building ...

scalable, reliable, and business-aligned. This role is pivotal in enabling clients to harness the power of streaming data, data lakes, lakehouses, and advanced analytics platforms, while guiding them on their data modernization journeys.As a trusted advisor, you will collaborate with executives, stakeholders, and technical teams to define modern … Strong consulting values with the ability to engage effectively with senior client stakeholders.• Hands-on experience across the data lifecycle: ingestion, storage, transformation, governance, analytics, and consumption.• Deep understanding of data product strategies, Data Mesh, and Data Fabric concepts.• Ability to align data strategies with business objectives, driving measurable value. ...

reliable, accurate, and compliant with regulatory requirements.Key Responsibilities: As a core member of the Claims Reporting function, you will use advanced data modelling, analytics and reporting capabilities to transform claims data into reliable insights that support portfolio oversight, operational improvement and informed decision-making. Your ability to structure data, identify … life cycle of data projectsUsing statistical tools to interpret data sets, detecting trends and patterns that could be valuable for diagnostic and predictive analytics effortsAssisting with the preparation of loss runs and claims selection for audits and due diligencesParticipating in special projects (e.g. conduct risk, consumer duty, KPIs ...

scalable, reliable, and business-aligned. This role is pivotal in enabling clients to harness the power of streaming data, data lakes, lakehouses, and advanced analytics platforms, while guiding them on their data modernization journeys.As a trusted advisor, you will collaborate with executives, stakeholders, and technical teams to define modern … Strong consulting values with the ability to engage effectively with senior client stakeholders.• Hands-on experience across the data lifecycle: ingestion, storage, transformation, governance, analytics, and consumption.• Deep understanding of data product strategies, Data Mesh, and Data Fabric concepts.• Ability to align data strategies with business objectives, driving measurable value. ...

role is responsible for designing, building, and operating data pipelines, data products and AI-enabled engineering components that prepare, govern and serve data for analytics, automation and enterprise AI solutions. The role combines strong data engineering discipline with hands-on AI engineering capability, including designing, developing and productionising AI-enabled … well-governed and secure data foundations. What you’ll be doing Design, build and operate scalable data pipelines and reusable data assets to support analytics, automation and AI use cases. Implement data models, transformations and serving patterns that improve consistency, reusability, quality and performance. Apply enterprise patterns for ingestion, storage ...

certificationssuch as AWS Certified Data Engineer – Associate, AWS Certified Solutions Architect - Associate, or AWS Certified Developer - Associate Experience withstreaming data architecturesand real-time analytics Familiaritywithdata platformssuch asSnowflake, Databricks is a bonus Experience with ML/AI engineering, including building or integrating production-grade machine learning or generative AI solutions. Experience … workflow orchestration, and evaluation of agent behavior. Experience with semantic layers and ontology design, including defining consistent business concepts, relationships, and metadata for analytics and AI use cases. Relevant AWS AI certifications, such as AWS Certified AI Practitioner, AWS Certified Machine Learning Engineer - Associate, or AWS Certified Generative AI Developer ...

product, operations, and technology. Reporting to the Head of Data & AI Product, you will be a key partner in accelerating our ambitious data analytics, commercialization, and AI roadmap. You will not only define the "what" but also drive and engage in the "how," accelerating execution across Trading, Sales, Product, Technology … focused on AI/ML-driven products and heavy exposure in recent years to Generative AI. Technical Expertise: Experience with Python, SQL and production analytics workflows; familiarity with big‐data platforms such as Snowflake and Databricks; BI tools; APIs and workflow automation would be strong advanced. Demonstrated ability to design ...

architectures (Azure & AWS). AI & Machine Learning Exposure: Experience designing architectures that support AI/ML workloads, including integrating Large Language Models (LLMs), predictive analytics, and vector search into enterprise applications. Enterprise Governance & Security: Deep understanding of security architecture, secure SDLC practices, data privacy, and compliance requirements typical … will be architecting solutions within a broadly evolving and heterogeneous technology landscape, notably encompassing: Compute & Services: Java, .NET, Python, Cloud-native microservices Data & Analytics: Databricks, Microsoft Fabric, AWS Glue, Athena, Event Streaming (e.g., Kafka) AI & ML: Azure OpenAI, LLM Integration patterns, Vector Databases Integration & Storage: Azure Data Factory ...

product, operations, and technology. Reporting to the Head of Data & AI Product, you will be a key partner in accelerating our ambitious data analytics, commercialization, and AI roadmap. You will not only define the "what" but also drive and engage in the "how," accelerating execution across Trading, Sales, Product, Technology … portion focused on AI/ML-driven products and heavy exposure in recent years to Generative AI.Technical Expertise: Experience with Python, SQL and production analytics workflows; familiarity with big-data platforms such as Snowflake and Databricks; BI tools; APIs and workflow automation would be strong advanced. Demonstrated ability to design ...

optimise ETL and ELT pipelines Support the migration of existing data services into cloud environments Develop and maintain data products that support reporting and analytics Implement CI/CD processes and engineering best practices Monitor, troubleshoot and improve data platform performance Work closely with technical and business stakeholders to gather ...

Data Engineer at Capgemini, you'll design, build and operate reliable, scalable data pipelines and data products: the trusted foundations that power analytics, AI, GenAI and increasingly agentic systems. You'll work hands‐on with modern data engineering tooling and cloud services to ingest, transform and serve data … solutions into secure containerised environments. You'll work across the full lifecycle, from development through to production, shaping architectures that support operational users, analytics and AI‐enabled capabilities. Increasingly that includes GenAI and agentic systems that must run inside secure, and sometimes disconnected, environments, which is a genuinely hard problem ...