176 to 200 of 6,148 Analytics Jobs in England

Build, train, validate, and optimize machine learning and deep learning models. Develop Generative AI and Large Language Model (LLM) applications. Create AI-driven automation, analytics, and decision-support solutions. Design scalable data pipelines for AI and machine learning workloads. Develop APIs and software integrations for AI applications. Evaluate model performance … Development Secure Software Development Lifecycle Preferred Qualifications Experience developing AI systems for government, security, defense, or critical infrastructure sectors. Experience with computer vision, predictive analytics, or autonomous systems. Knowledge of cybersecurity and secure AI development practices. Azure AI, Microsoft, AWS, or Google certifications. Experience scaling AI solutions to enterprise environments. ...

where the data platform is going. Youll work across: Building data pipelines using Microsoft Fabric Fabric Lakehouse, Warehouse and OneLake Developing data models and analytics solutions Power BI development ETL/ELT SQL and SQL Server Azure Data Lake Internal and third-party API integrations Azure DevOps … opportunity to develop that experience alongside your core Data Engineering work. Technology environment Data: Microsoft Fabric, Lakehouse, Warehouse, OneLake, Azure Data Lake, Azure Synapse Analytics: Power BI Engineering: SQL Server, SQL, ETL/ELT, API integrations Delivery: Azure DevOps, Git, CI/CD AI: Azure AI Foundry and wider Microsoft ...

technology, continually developing your own skills. Skills and attributes for success What we look for Some experience (typically two to five years) delivering data, analytics or AI work, with a strong interest in tax, technology and transformation. Solid hands‐on technical skills – for example SQL and Python, data manipulation … engineering, and exposure to generative AI/LLM tools, machine learning or analytics platforms such as Power BI or Alteryx. Experience with using low code applications such as Microsoft Copilot Studio and Power Platform. Strong analytical and problem‐solving skills, with attention to detail and a commitment to accurate, high ...

considered. The ideal candidate will be able to build on these skills and help deliver and maintain an end-to-end advanced analytics solution on cloud. You will have exposure with cloud, preferably in Microsoft Azure build and maintain data pipelines, understand CI/CD for end-to-end cloud … learning new technologies, methodologies, and skills Preferred: Strong development skills withAzure Data Lake,Azure Data Factory, SQL Data WarehouseAzure Blob, Azure Storage Explorer, Stream Analytics and Event Hub. Experience working with the Microsoft Azure cloud-based ecosystem Experience in Extracting data from heterogeneous data sources by usingETL tools Experience ...

Credit Benchmark is a financial data and analytics company transforming how global credit risk is understood and managed. Founded by serial entrepreneurs and backed by leading investors including Balderton Capital and Index Ventures, we’re a fast-growing team of technology, finance, and data experts committed to making financial markets … anonymizing internal risk views from 40 of the world’s largest financial institutions, we deliver forward-looking, one-year Probabilities of Default and powerful analytics on over 125,000 entities—five times the coverage of traditional rating agencies. Our data helps global financial institutions and businesses make better-informed decisions ...

opportunity to develop and progress rapidly. Role Overview As a Data Engineer, you will design, build, and maintain scalable data solutions that enable analytics, AI, and operational insights. Youll work alongside client and internal teams to create robust data pipelines, ensure data reliability, and support cloud-based architectures that power … Code (e.g., Terraform, CloudFormation) to manage cloud environments. Work with container technologies such as Docker and Kubernetes-based workloads. Collaboration Work closely with analytics, ML/AI, and product teams to deliver clean, well-structured datasets. Participate in code reviews and internal knowledge-sharing sessions. Provide guidance to junior engineers ...

reporting solutions. Lead data migration and transformation projects from legacy platforms. Ensure data quality, integrity, governance and security. Work with stakeholders to improve reporting, analytics and business intelligence capability. Microsoft Technology Solutions Design, implement and administer solutions using: Microsoft Azure Microsoft 365 SharePoint Online Microsoft Teams Microsoft Fabric Microsoft Purview … technologies. Experience designing and implementing Azure‐based solutions. Experience with SharePoint Online and Microsoft Teams administration and development. Understanding of Microsoft Fabric and data analytics solutions. Knowledge of Microsoft Purview and information governance frameworks. Experience integrating systems through APIs and modern integration methods. Knowledge of cybersecurity principles and secure software ...

enabling the AI-empowered workforce of tomorrow, you’ll be working at the cutting edge of what’s next.We **DESIGN** next-generation data, analytics and AI platforms – You will design and implement scalable, secure and cost-efficient platforms that power both operational and analytical workloads, leveraging leading cloud technologies … security, IAM, encryption and data protection.We **INNOVATE** with data-driven solutions – You will create Proof of Concepts and Minimum Viable Products for advanced analytics and AI platforms, ensuring they align with enterprise objectives and deliver measurable business value.We **AUTOMATE** for speed and reliability – You will build and streamline data pipelines ...

Data Engineer, you’ll play a key role in building and maintaining the platforms, pipelines, and processes that power advanced analytics, machine learning, and AI-driven decision making. Working alongside talented Data Engineers, Data Scientists, DataOps Engineers, and DevOps Engineers, you’ll ensure our data is reliable, secure, and accessible … goals. Partner with stakeholders across the business to deliver solutions that support strategic initiatives, customer insights, and marketing campaigns. Help advance our next-generation analytics platform by contributing to the evolution of our Unified Data Platform. Support the adoption of Agentic AI frameworks, helping to enable AI-powered data engineering ...

governance standards, including documentation, validation, accessibility, metadata, lineage, security and appropriate use of sensitive data. Your experience: Must Haves: Experienced in data science, analytics, business intelligence, data modelling or a similar analytical role. Highly proficient in Power BI, with extensive hands‐on experience designing, building and publishing reports, dashboards, semantic … models, reusable datasets, DAX measures, KPIs and calculation logic. Highly proficient in Power BI data modelling for reporting and analytics, including star schemas, fact and dimension modelling, semantic layer development, performance optimisation and report best practice. Experience using AI tools or techniques to support analysis, insight generation, automation, data science ...

with Snowflake or similar cloud data warehouse platforms• Python development skills, particularly for data-driven applications• Exposure to customer segmentation, propensity modelling, or predictive analytics• Familiarity with SaaS, subscription, or recurring revenue business models• Experience with Power BI or other data visualisation tools• Understanding of data governance and quality management ...

across the organisation. Youll have the scope to introduce modern technologies, remove unnecessary manual work and build a platform capable of supporting future products, analytics and business decision-making. Salary: Circa £85K Location: Manchester Working pattern: Hybrid Lead Data Engineer - Manchester ...

frameworks Hands-on ownership of the most complex implementation work Data Modelling & Design Define and evolve data models powering SCV, segmentation, AI features, and analytics Work across dimensional, event-based, and ML-aligned data structures DevOps, CI/CD & AI Ops Own CI/CD for data pipelines using ...

Responsibilities Design, deliver, and support Data, AI, and automation solutions, including analytics, models, dashboards, and related platforms. Own the roadmap for trusted data foundations across BIS and divisions, covering master/reference data, data quality, governance, cataloguing, traceability, and access controls. Provide technical and business leadership across data architecture, integration ...

help them make the best use of their data. In building data platforms and pipelines, our data engineers create the foundation for diverse data & analytics solutions, including data science and AI. They build data lakes and warehouses, create the processes to extract or access operational data, and transform siloed datasets ...

help them make the best use of their data. In building data platforms and pipelines, our data engineers create the foundation for diverse data & analytics solutions, including data science and AI. They build data lakes and warehouses, create the processes to extract or access operational data, and transform siloed datasets ...

help them make the best use of their data. In building data platforms and pipelines, our data engineers create the foundation for diverse data & analytics solutions, including data science and AI. They build data lakes and warehouses, create the processes to extract or access operational data, and transform siloed datasets ...

work in the UK. For this role do NOT offer visa sponsorship. Experience Requirements & Qualifications Minimum 3 years of relevant experience in data analytics, data quality, reporting controls, or data transformation programs (preferably in financial services). Core Skills & Experience Minimum 3 years of relevant experience in data governance, lineage ...

help them make the best use of their data. In building data platforms and pipelines, our data engineers create the foundation for diverse data & analytics solutions, including data science and AI. They build data lakes and warehouses, create the processes to extract or access operational data, and transform siloed datasets ...

mission is to empower customers across defence, government, and national security sectors to harness the power of data — from geospatial intelligence to advanced analytics and AI integration. We are proud to be a trusted partner to UK defence and government organisations, delivering technology that drives smarter, data-driven outcomes. ...

scalability. We are building a governed, interoperable data estate that enables self-service for our business teams and provides the trusted foundation for advanced analytics, machine learning and AI to accelerate change across our industry. The Data Governance Analyst supports the establishment and operation of effective data governance across Canopius ...

lakehouse, data warehouse and data integration solutions. Establish data governance, security, quality, metadata and lineage using Microsoft Purview. Provide architecture leadership for Data & AI, analytics and Generative AI initiatives. Lead architecture reviews, technology selection and technical assurance across major programmes. Engage with CIO, CTO, CDO and senior technology stakeholders ...

While mastery of every tool is not required, we are seeking Engineers who have experience with one or more of the following technological areas: Analytics & Platform Frameworks Orchestration like Airflow or AWS Glue Database Technologies Data processing libraries & Schema Management tools like Pandas and Pydantic Storage Formats: Familiarity with data ...

While mastery of every tool is not required, we are seeking Engineers who have experience with one or more of the following technological areas: Analytics & Platform Frameworks Orchestration like Airflow or AWS Glue Database Technologies Data processing libraries & Schema Management tools like Pandas and Pydantic Storage Formats: Familiarity with data ...

engineering experience Familiarity with policy-as-code or platform governance controls Relevant cloud or data platform certifications (e.g. Azure Data Engineer Associate, AWS Data Analytics Specialty, Databricks Certified Associate Developer, AWS Solutions Architect Associate) AI or ML engineering certifications (e.g. Databricks Generative AI Engineer, AWS Machine Learning Specialty, Google Professional ...