151 to 175 of 4,211 Analytics Jobs

architecture capability for one of our largest UK Public Sector clients. In this role, you will help to shape and deliver data and analytics solutions that directly support client priorities: improving efficiency, maximising revenues, reducing fraud and responding rapidly to policy challenges. We are looking for Data Architects with … purpose from source to consumption.* Taking architectural ownership of how data is designed for consumption by both humans and autonomous agents, including analytics users, applications and AI-driven services.* Providing architectural direction on the safe and governed adoption of AI and agent-based capabilities within data and analytics platforms* Producing ...

within the business to bring products to life. The Role As a Technical Program Manager, you will lead and deliver complex data platform and analytics programmes. You will combine strong technical knowledge with excellent programme execution, stakeholder management, and cross‐functional leadership skills. You will work closely with data engineering … analytics, platform, and business teams to plan, coordinate, and deliver scalable, high‐quality data solutions. Key responsibilities: Owning end‐to‐end delivery of data and analytics programmes, ensuring alignment with business goals, timelines, and quality standards. Planning, tracking, and managing complex technical dependencies across Snowflake, dbt, Airflow, and GitHub‐based ...

shaping how data is collected, managed, and utilised across a complex, multi-site organisation, improving data quality, accessibility, and trust whilst enabling better reporting, analytics, and decision‐making across the business. Working closely with business stakeholders, IT teams, data engineers and third‐party partners, you'll lead the delivery … supporting architecture, creating a scalable, secure and sustainable foundation for future growth. Define and deliver a roadmap for data migration, integration, governance, reporting and analytics capabilities. Lead the implementation of a modern data platform, including the development of a data warehouse, data lake, lakehouse or equivalent cloud-based solution. Work ...

principles, and ways of working for data architecture, DataOps, and governance. Ensure data models, pipelines, and storage systems support both product needs and advanced analytics/ML use cases. Bridge Data Science & Cloud Engineering Act as the primary interface between data science and cloud engineering teams. Translate analytical … constraints and design patterns pragmatically, appropriate to a small but growing company. Design data flows and lifecycle management from ingestion to consumption. Enable Advanced Analytics & ML Partner with the data science and software development teams to establish strong MLOps and DataOps practices. Support geospatial and large‐scale analytical workloads. Ensure ...

Company A leading UK consulting and administration business specialising in pensions and insurance services. The organisation combines deep industry expertise with advanced technology and analytics to support large-scale pension schemes and their sponsoring employers. It provides administration for over one million members and delivers advisory services across schemes … + 6% bonus Main Duties and Responsibilities Model Development (Azure Machine Learning Studio focus) Work collaboratively with actuarial and analytics teams to design, build, and deploy machine learning and statistical models using Azure Machine Learning Studio (AML Studio) in production environments. Apply appropriate ML techniques to improve predictions such ...

solutions within the Microsoft Azure ecosystem. This role will focus on building enterprise-grade data pipelines, migration frameworks and transformation processes using Azure Synapse Analytics, Azure Data Factory (ADF), PySpark, Python and SQL. You will work closely with technical and business stakeholders to ensure successful delivery of data migration … Associate certification. Experience leading data migration or transformation projects. Previous mentoring or team leadership experience. Exposure to enterprise-scale cloud data platforms and modern analytics ...

develop AI-ready knowledge assets and repositories - Support development of reusable datasets, taxonomies and knowledge frameworks - Enable scalable AI-assisted services and products Analytics & Reporting: - Build dashboards and visualisations to track adoption and impact - Deliver insight and recommendations to both technical and non-technical stakeholders Data Strategy & Governance: - Support implementation … finance and business teams - Evaluate new technologies and tools - Support and mentor colleagues within a collaborative environment About You: - 5+ years' experience in data, analytics, AI or machine learning - Strong technical skills (Python, SQL, data pipelines) - Experience with AI technologies (e.g. LLMs, vector databases, Azure/OpenAI tools) - Proven ability ...

local needs and global opportunities are appropriately understood and connected. The role will be expected to identify and apply practical AI opportunities within Procurement Analytics, including the use of Microsoft Copilot, Copilot Studio, and related tools to improve reporting, insight generation, automation, and user self-service. What youll bring Essential … criteria: Significant relevant experience in procurement, business intelligence, data analytics, reporting, technology enablement, or a related field. Strong experience with business intelligence and data visualization including Power BI in an enterprise environment. Experience managing or leading people, including setting priorities, coaching team members, and supporting delivery through others. A strong ...

that features go live in days or weeks, not months or years. The role We are in the process of transitioning our entire analytics warehouse to Snowflake, from a federated SQL system to improve reliability and speed of accessing our wide data ecosystem. We run a variety of time consuming … transition all to a single data warehouse using Snowflake and dbt. We are looking for someone who has a solid amount of experience in analytics engineering, who can advise and implement high quality and reliable ETL/ELT processes to bridge the gap between data engineering and analytics. Who will ...

working with a well-established insurance organisation based in Leeds that is looking to hire a BI Analyst to join its growing data and analytics team. This is an excellent opportunity to play a key role in delivering meaningful reporting and business intelligence solutions that help drive strategic decision-making … benefits package. Ongoing learning and professional development opportunities. Clear progression opportunities within a growing data function. Opportunity to work on business-critical reporting and analytics projects that directly influence strategic decision-making. ...

Solution Architect 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‐facing platforms. Working … translate complex business requirements into pragmatic technical designs and to influence stakeholders at all levels. About Willis Re We combine specialist broking with analytics, modelling and research to help insurers optimise risk transfer, strengthen balance sheets and achieve sustainable growth. Our approach is relationship‐driven, transparent and outcome‐focused. ...

Azure. Data Architecture & Fabric: Design, implement, and maintain Microsoft Fabric environments; establish Medallion (Bronze/Silver/Gold) data architecture for both internal analytics and external self‐serve. Site Reliability & Support: Act as 3rd‐line support , diagnosing complex production issues across systems, cloud, and data layers. Automation & Monitoring: Develop tools … deployment automation, observability, and system reliability (e.g., pipelines, alerts, logging). AI & LLM Integration: Prototype and integrate LLM‐driven solutions to enhance self‐service, analytics, or development efficiency. Collaboration: Partner closely with engineering, product, and operations teams to deliver solutions end‐to‐end — from concept to production. Continuous Improvement: Contribute ...

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. ...

across some of the UK's most complex projects, programmes and portfolios. We're looking for a Portfolio Analyst who is passionate about data, analytics and continuous improvement. This is an opportunity to combine project, programme and portfolio delivery knowledge with modern digital tools, transforming data into meaningful insight that … data solutions or looking to grow your technical skills, you'll have the opportunity to help shape the future of P3M insights, reporting and analytics at AWE. Work hard, be rewarded: We ask a lot and set the bar high because our work truly matters. In return we offer balance ...

across some of the UK's most complex projects, programmes and portfolios. We're looking for a Portfolio Analyst who is passionate about data, analytics and continuous improvement. This is an opportunity to combine project, programme and portfolio delivery knowledge with modern digital tools, transforming data into meaningful insight that … data solutions or looking to grow your technical skills, you'll have the opportunity to help shape the future of P3M insights, reporting and analytics at AWE. Work hard, be rewarded: We ask a lot and set the bar high because our work truly matters. In return we offer balance ...

Data Analyst Level 4 apprenticeship develops the skills needed to collect, organise and study data to provide valuable business insight. The principles of data analytics are being applied across just about every industry. Using past-event data, analysts are making important insight-based business decisions and driving customer value across … every team and function, including operations, finance, sales and marketing. At QA we have deep-rooted expertise in Data, Analytics and AI. Our solutions transform the way that individuals use data and enable organisations to make more data-driven business decisions. QA's Data Analyst Level 4 apprenticeship programme enables ...

Data Analyst Level 4 apprenticeship develops the skills needed to collect, organise and study data to provide valuable business insight. The principles of data analytics are being applied across just about every industry. Using past-event data, analysts are making important insight-based business decisions and driving customer value across … every team and function, including operations, finance, sales and marketing. At QA we have deep-rooted expertise in Data, Analytics and AI. Our solutions transform the way that individuals use data and enable organisations to make more data-driven business decisions. QA's Data Analyst Level 4 apprenticeship programme enables ...

shape the future of business connectivity. The Role The Data Engineer role develops and maintains trusted, high-quality data pipelines, warehouse structures and analytics-ready datasets to support reporting, insights, decision-making and AI initiatives across the organisation. Responsibilities Design, develop, and maintain data pipelines to ingest, cleanse, transform …/ELT processes. Hands-on experience with Databricks for data engineering and transformation workloads. Proficiency in Python for data cleansing, transformation, automation, and analytics workflows. Experience designing and supporting enterprise data warehouse solutions. Experience developing and optimising Power BI datasets, semantic models, and reporting solutions. Strong understanding of data quality ...

crucial role in shaping our data strategy, working across multiple departments to design and implement a robust data ecosystem that supports our business intelligence, analytics, data apps, AI and data science initiatives. The ideal candidate will have a deep understanding of data warehousing best practices, data modeling techniques, ETL/… data privacy, security, and regulatory requirements. Support audit and risk management activities related to data management. Design data structures that support reporting, dashboards, predictive analytics, and AI initiatives, including the support and design of a Universal Semantic Layer. Collaborate with Data Engineers, Data Analysts, and Business Intelligence teams to optimize ...

learning and deep learning models. Implement MLOps best practices: versioned data & features, CI/CD pipelines, model promotion, and rollback. Collaborate with data scientists, analytics engineers, product managers, and developers to turn business problems into AI solutions. Uphold data quality, governance, security, and responsible AI practices. Evaluate and adopt … experience designing, building and maintaining scalable data pipelines and architectures for AI/ML. Familiarity with Microsoft Fabric (Data Engineering, Data Science, Real‐Time Analytics) and Azure ML, including MLflow. Proficiency with tools such as Apache Spark, Azure Data Factory, GIT, Python and SQL. Skilled in developing, training and deploying ...

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 ...

looking for a skilled and motivated Data Engineer to join a growing data platform team, building the pipelines and integrations that power analytics and operational systems across the business. You'll work in a modern Azure environment centred on Microsoft Fabric and medallion architecture, partnering closely with data analysts, architects ...

actionable insights that shape clinical decisions? Bristol Myers Squibb is seeking a Senior Manager, Data Science to join our Drug Development Data Science & Advanced Analytics (DSAA) team. This is a new role for a state-of-the-art individual contributor who thrives at the interface of computational science, statistical rigour … trial data to genomics, proteomics, imaging, and beyond — contributing directly to decisions that advance our global development pipeline. What You'll Do Data Science & Analytics Develop and apply novel computational methods for patient segmentation, biomarker discovery, and hypothesis generation from multimodal clinical and omics datasets, in partnership with Translational, Clinical ...

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 … Environment**You will be architecting solutions within a broadly evolving and heterogeneous technology landscape, notably encompassing:Compute & Services: Java, .NET, Python, Cloud-native microservicesData & Analytics: Databricks, Microsoft Fabric, AWS Glue, Athena, Event Streaming (e.g., Kafka)AI & ML: Azure OpenAI, LLM Integration patterns, Vector DatabasesIntegration & Storage: Azure Data Factory ...

actionable insights that shape clinical decisions? Bristol Myers Squibb is seeking a **Senior Manager, Data Science** to join our Drug Development Data Science & Advanced Analytics (DSAA) team.This is a new role for a state-of-the-art individual contributor who thrives at the interface of **computational science, statistical rigour … trial data to genomics, proteomics, imaging, and beyond — contributing directly to decisions that advance our global development pipeline.# **What You'll Do****Data Science & Analytics*** Develop and apply novel computational methods for patient segmentation, biomarker discovery, and hypothesis generation from multimodal clinical and omics datasets, in partnership with Translational, Clinical ...