626 to 650 of 12,707 Permanent Analytics Jobs

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 ...

advantage. As an Marketing Consultant specialising in AI, Data & Strategy, you will be instrumental in helping clients navigate complex marketing challenges, from leveraging advanced analytics to designing and implementing cutting-edge AI solutions. You will translate strategic objectives into data-driven insights, actionable AI strategies, and innovative propositions that deliver … depth data analysis to uncover insights, validate hypotheses, and inform strategic recommendations. Developing strategic recommendations, frameworks, and roadmaps for AI adoption, data governance, and analytics capabilities, ensuring they are practical, implementable, and aligned with client objectives. Collaborating closely with clients and internal teams to facilitate the adoption and implementation ...

+ Strong Bonus I'm working with a Lloyd's syndicate who are hiring a Senior Data Scientist into their Data Science and Analytics team, reporting to the Data Science Manager. The role is end to end. You'll build models and take them into production yourself, then own them ...

environment. You will build reliable, scalable pipelines and help shape engineering standards, working closely with the Lead Data Engineer and partnering with data science, analytics and product teams. Key responsibilities * Build and maintain scalable data pipelines using Databricks, Apache Spark and Delta Lake * Develop and optimise batch and streaming workflows ...

emerging data technologies, including established data management and reporting technologies.Expert knowledge of SQL databases alongside some knowledge of columnar and NoSQL databases, predictive analytics, data visualization, and unstructured dataStrong understanding of various data modelling methodologies (e.g., dimensional modelling, data vault).Demonstrate a good understanding of Data/Information Governance principles … mapping, programmatic) and pipelines (e.g., data warehouse, data mart, OLAP cubes, visual discovery, real-time operational applications)Staying ahead of technical advancements in cloud analytics and data management space.Industry-recognised certifications (e.g. DAMA CDMP, TOGAF, vendor/platform specific e.g. AWS/GCP/Azure).Good understanding of regulatory ...

emerging data technologies, including established data management and reporting technologies.Expert knowledge of SQL databases alongside some knowledge of columnar and NoSQL databases, predictive analytics, data visualization, and unstructured dataStrong understanding of various data modelling methodologies (e.g., dimensional modelling, data vault).Demonstrate a good understanding of Data/Information Governance principles … mapping, programmatic) and pipelines (e.g., data warehouse, data mart, OLAP cubes, visual discovery, real-time operational applications)Staying ahead of technical advancements in cloud analytics and data management space.Industry-recognised certifications (e.g. DAMA CDMP, TOGAF, vendor/platform specific e.g. AWS/GCP/Azure).Good understanding of regulatory ...

emerging data technologies, including established data management and reporting technologies.Expert knowledge of SQL databases alongside some knowledge of columnar and NoSQL databases, predictive analytics, data visualization, and unstructured dataStrong understanding of various data modelling methodologies (e.g., dimensional modelling, data vault).Demonstrate a good understanding of Data/Information Governance principles … mapping, programmatic) and pipelines (e.g., data warehouse, data mart, OLAP cubes, visual discovery, real-time operational applications)Staying ahead of technical advancements in cloud analytics and data management space.Industry-recognised certifications (e.g. DAMA CDMP, TOGAF, vendor/platform specific e.g. AWS/GCP/Azure).Good understanding of regulatory ...

responsible for building, transforming and structuring large datasets, developing reliable data pipelines and supporting the delivery of data solutions for reporting, analytics and operational use. You’ll work closely with both technical teams and client stakeholders to understand requirements, design scalable solutions and deliver robust data platforms using modern Azure ...

Skills & Experience In commutable distance to Milton Keynes/a driver highly desirable Excellent written and spoke English Strong experience with BI and data analytics tools Excellent analytical skills with the ability to interpret complex data needs Advanced Excel skills (formulas, pivot tables, data manipulation) Ability to translate business requirements ...