876 to 900 of 1,278 Remote/Hybrid Analytics Jobs

Managing Consultant | Data Science & Advanced Analytics | London (hybrid) | Competitive salary + bonus A world-renowned global innovation consultancy is looking for a Managing Consultant to join its growing team, working at the intersection of data science, advanced analytics and real-world problem solving. This is an opportunity to tackle complex … high-impact challenges for major public and private sector organisations, using mathematics, machine learning and advanced analytics to turn data into decisions that make a difference. Importantly, this is about more than delivering projects. You'll also have the opportunity to help shape the consultancy's growth, develop new client ...

Google Cloud platform behind every decision at one of the UKs fastest-growing nutrition brands, and build the foundations for safe, self-serve AI analytics across the business. Join Protein Works as our Data Engineer and own the Google Cloud data platform behind every decision we make, from ingestion … marketing, trading, operations and finance, and a business that wants to use every bit of it. Were now rolling out safe, self-serve AI analytics across the company, and that only works if the platform underneath is clean, governed and reliable. Thats where you come in. This ...

into sustainable business ownership.You will be accountable for the quality of the commercial recommendation and the measurable outcome. Working with Product, Engineering, Merchandising, Marketing, Analytics, Data Science, Finance, Legal, and Operations, you will establish the evidence required to act, challenge assumptions, and align senior stakeholders around customer and commercial value. … Data Sets and advanced design of agentic AI to surface insights, diagnose problems, shape decisions and make recommendations.Define robust measurement approaches in partnership with Analytics and Data Science for commercial initiatives to assess performance against key business metrics.Shape ML roadmaps by providing commercial context and assess ML outputs and forecasts ...

performance and engineering excellence are critical. The Opportunity You'll be responsible for designing, building and operating the core platform services that power portfolio analytics, risk calculations and analytical workloads. Working closely with Quantitative Developers, Data Engineers and Technology leaders, you'll develop the middle tier that connects data, models … building highly available, production-grade systems. Understanding of monitoring, observability and operational support. Strong stakeholder engagement and communication skills. Desirable Experience Risk systems, portfolio analytics or financial services platforms. Large-scale batch processing or calculation-heavy environments. Model governance, version control and auditable execution frameworks. Leading engineering teams or mentoring ...

sustainable business ownership. You will be accountable for the quality of the commercial recommendation and the measurable outcome. Working with Product, Engineering, Merchandising, Marketing, Analytics, Data Science, Finance, Legal, and Operations, you will establish the evidence required to act, challenge assumptions, and align senior stakeholders around customer and commercial value. … Sets and advanced design of agentic AI to surface insights, diagnose problems, shape decisions and make recommendations. Define robust measurement approaches in partnership with Analytics and Data Science for commercial initiatives to assess performance against key business metrics. Shape ML roadmaps by providing commercial context and assess ML outputs ...

ensuring compliance with security and governance standards. Design data architectures, data models and integration patterns, including APIs. Shape operational dashboards, business intelligence (BI) and analytics solutions. Collaborate with engineers, data specialists, analysts and stakeholders to translate business requirements into technical designs. Produce architecture documentation, technical roadmaps and design artefacts. Support … experience as a Technical Architect or Solution Architect. Strong AWS experience, with knowledge of Kafka, security and networks. Experience in data architecture, data modelling, analytics, BI and operational reporting. Understanding of data governance, data quality and data lineage. Experience designing dashboards and management information solutions. Excellent stakeholder management, communication ...

work on more than just BAU data engineering. You will help organisations modernise their data estates, design scalable Snowflake solutions and support cutting-edge analytics and AI initiatives. With exposure to a variety of industries and projects, you will continuously develop your technical expertise while working alongside experienced data professionals. … Responsibilities Designing and building scalable Snowflake-based data solutions. Developing ETL pipelines using SQL and Python. Creating efficient data models that support reporting, analytics and business intelligence. Delivering end-to-end data transformation projects for enterprise clients. Supporting cloud data platform migrations, integrations and modernisation initiatives. Collaborating closely with clients ...

enterprise scale. As a Databricks Architect, you will define technology strategies, lead architectural governance, and design modern data platforms that enable advanced analytics, AI and business transformation. Working alongside specialist Data, AI and Cloud teams, you will guide clients through large-scale modernisation initiatives and establish foundations for future innovation. … Responsibilities Lead architecture and technical strategy across major Data & AI transformation programmes. Design end-to-end solutions spanning data engineering, analytics, machine learning, and Generative AI. Develop scalable lakehouse architectures using modern Databricks capabilities and governance frameworks. Define enterprise data models, semantic layers, security controls, and data governance standards. Architect ...

something you are passionate about.Passionate about pioneering RiskTech and leveraging big data in credit risk, you are looking for the opportunity to use your analytics and programming skills to shape the vision and the future of the organisation. You excel in an open environment where you will have the flexibility … multiple programming languages (including Python, R and SQL) and agile development methodologies.Day to day the Data Engineer will:Work alongside the Risk and Analytics team to create and implement machine learning risk models and large scale data projects from inception to productionBuild high quality datasets from raw data using some ...

clients can trust what the products tell themð Building the roadmap from client feedback, market and competitor insight, internal stakeholder input and usage analytics, then prioritising the most valuable workð Taking products from early discovery and prototyping through to launch and adoption, including shaping the commercial model, pricing and packaging … willing to learn. Here's what the team will be looking for in you:ð You've shipped AI, ML, data or analytics products at a B2B company, ideally SaaSð You understand how AI and ML products are built (for example, LLMs, retrieval, agents, predictive models) ð You're comfortable ...

cutting-edge technology, expanding operations, and innovative business partnerships, our mission is to deliver seamless, efficient, and customer-first experiences at scale. Our Planning & Analytics team sits at the heart of this transformation. We harness data to unlock efficiencies, drive cost savings, and enable smarter decision-making across the supply … using data-driven insights. Working closely with data engineers to build and evolve a common data model for our business domain within the wider analytics landscape. Developing and implementing strategies across inventory, procurement, and distribution. Designing intuitive dashboards and reports to translate data into actionable insight for stakeholders. Partnering with ...

expansionProvide feedback to our product development teams to enhance the Celonis platform and Apps based on new use casesThe qualifications you need: Data, Analytics, Applications & IT: Good knowledge of Business Software/SaaS applications (e.g. SAP), Hands-on SQL and/or Python skills,, experience in collaborating with IT teams … Consulting with a Business Software/SaaS Provider or a Consultancy. Alternatively in an Inhouse role (e.g. Center of Excellence for Data Mining/Analytics/Intelligence) within an Enterprise. Process Improvement & Value Realization: Experience in identifying use cases for business process improvement and deploying improvement measures, being a change ...

same. The role is fundamentally about problem solving: understanding business challenges, breaking them down, and delivering pragmatic, scalable solutions.You’ll work closely with product, analytics, and engineering teams, operating with a high degree of autonomy. That means proactively gathering context, aligning stakeholders, and ensuring work lands effectively.Data Platform sits … centre of the business, with a real opportunity to shape how teams interact with data. The focus is on enabling fast, iterative analytics, moving from idea to insight quickly, while maintaining strong foundations around reliability, cost, and security.Our Modern Tech StackYou’ll work across a broad set of technologies ...

role is fundamentally about problem solving: understanding business challenges, breaking them down, and delivering pragmatic, scalable solutions. You'll work closely with product, analytics, and engineering teams, operating with a high degree of autonomy. That means proactively gathering context, aligning stakeholders, and ensuring work lands effectively. Data Platform sits … centre of the business, with a real opportunity to shape how teams interact with data. The focus is on enabling fast, iterative analytics, moving from idea to insight quickly, while maintaining strong foundations around reliability, cost, and security. Our Modern Tech StackYou'll work across a broad set of technologies ...

products. ITIL v4 knowledge. Experience in scripting and integration concepts (Python, JSON, PowerShell, REST API, LDAP, SSO, BASH). Experience in data analytics and visualization tools (SQL, Power BI, Tableau, etc.). MacOS familiarity. Previous enterprise operations experience a plus (IT infrastructure, capacity planning, end-user hardware/software engineering … future of how the world works, giving our customers’ IT Teams total digital visibility across their enterprise. Our innovative solutions integrate real-time analytics, automation, and employee feedback across all endpoints. This enables our IT teams to solve complex technical challenges, create ever more productive workplaces, and deliver happy, satisfied ...

business process. You will also need to define an end-to-end knowledge system. You will work hand in hand with the data analytics team & Tech partners in research to define the knowledge system, the agentic layer across the enterprise. You bring deep, hands-on AI/engineering expertise … regulated industries (pharma, healthcare, financial services) and familiarity with GxP, General Data Protection Regulation (GDPR), and Sarbanes-Oxley (SOX).Experience partnering with data analytics, data science, or process science teams to turn analytical models into shared, reusable products. Track record of contributing reusable engineering patterns back to a broader team. ...

business process. You will also need to define an end-to-end knowledge system. You will work hand in hand with the data analytics team & Tech partners in research to define the knowledge system, the agentic layer across the enterprise. You bring deep, hands-on AI/engineering expertise … regulated industries (pharma, healthcare, financial services) and familiarity with GxP, General Data Protection Regulation (GDPR), and Sarbanes-Oxley (SOX).Experience partnering with data analytics, data science, or process science teams to turn analytical models into shared, reusable products. Track record of contributing reusable engineering patterns back to a broader team. ...

Data Engineer Location: London (Hybrid) Salary: £50,000£70,000 + bonus and benefits The Opportunity Im working with a leading organisation in the cyber and defence sector that delivers critical technology solutions across national ...

*Senior Data Scientist* Location: Leeds - Hybrid Salary: Up to £85,000 + Excellent Benefits Job Type: Permanent, Full Time We're looking for a Senior Data Scientist to join a high-growth technology business where ...

Our client is a public sector technology consultancy. Description Our Senior Data Engineers enable public sector organisations to embrace a data-driven approach by providing data platforms and services that are high-quality, cost-efficient ...

transform how we use data to improve environmental performance, regulatory compliance, and operational decision-making. We're looking for a talented Data Analytics Manager to lead the development of data-driven insights across our wastewater operations. With increasing volumes of monitoring data and evolving regulatory requirements, you'll play ...

data to improve environmental performance, regulatory compliance, and operational decision-making.\u003c/p\u003e\u003cp\u003eWe're looking for a talented \u003cstrong\u003eData Analytics Manager\u003c/strong\u003e to lead the development of data-driven insights across our wastewater operations.\u003c/p\u003e\u003cp\u003eWith increasing volumes ...

Specialist Analytics Agency | Hybrid (3 days in office) | Up to £70,000 GA4 experience is a non-negotiable The role Our client is an analytics and CRO agency. They help businesses put data at the heart of their strategy, from data collection and measurement through to privacy and activation, mainly … their tier 1 clients turn over hundreds of millions of pounds a year. With that comes bigger opportunities, more stakeholders and higher expectations. Their analytics team is technically excellent, and they now need a senior client leader to sit alongside the team and own those relationships. As Client Partner ...

contextualisation, and decision-making using advanced AI models. Intelligent Interfaces: Develop adaptive, conversational UI/UX elements powered by LLMs and logic-driven agents. Analytics & Insights: Build predictive analytics, anomaly detection, and KPI dashboards that empower clients to act with confidence. AI Orchestration (MCP): Oversee integration of Model Context Protocol … strategy and client outcomes. Key Skills & Experience Essential: Proven experience as a Product Manager for data-driven enterprise products. Strong understanding of data architecture, analytics, and governance. Experience integrating AI/ML models, LLMs, or agent-based systems into commercial products. Familiarity with Model Context Protocol (MCP) or similar ...

contextualisation, and decision-making using advanced AI models. Intelligent Interfaces: Develop adaptive, conversational UI/UX elements powered by LLMs and logic-driven agents. Analytics & Insights: Build predictive analytics, anomaly detection, and KPI dashboards that empower clients to act with confidence. AI Orchestration (MCP): Oversee integration of Model Context Protocol … strategy and client outcomes. Key Skills & Experience Essential: Proven experience as a Product Manager for data-driven enterprise products. Strong understanding of data architecture, analytics, and governance. Experience integrating AI/ML models, LLMs, or agent-based systems into commercial products. Familiarity with Model Context Protocol (MCP) or similar ...