326 to 350 of 7,691 Analytics Jobs in London

DOING:**### AI & Machine Learning Solutions* Design, build and deploy machine learning models to solve operational and business challenges.* Develop predictive analytics capabilities focused on incident prevention, service health, operational risk and customer experience.* Support the development of Generative AI applications leveraging LLMs, retrieval systems and agentic workflows.* Evaluate emerging … technologies and recommend practical applications across the organisation.### Data Science & Analytics* Perform advanced statistical analysis and modelling across large-scale operational and engineering datasets.* Develop feature engineering, experimentation and model evaluation frameworks.* Create insights and recommendations that drive decision making for senior stakeholders.* Build and maintain reproducible data science workflows ...

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 ...

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 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 ...

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 ...

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. ...

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 ...

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 ...

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 ...

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 ...

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 ...

growth of the function. THE COMPANY They are a rapidly scaling SaaS organisation that helps businesses unlock greater value from their data through advanced analytics and AI-powered products. Their technology supports enterprise clients across a range of sectors, delivering actionable insights that improve decision-making and commercial performance. ...

principles: Client first Results and impact driven Self-motivated Continuous improvement Role Responsibilities Partner with business stakeholders to gather, challenge, and translate reporting and analytics requirements. Extract, transform, analyse, and interpret data from multiple sources to support business decision-making. Design, develop, and maintain Power BI reports and semantic models. ...

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 ...