1,026 to 1,050 of 6,551 Analytics Jobs in London

discovery workshops, assessments, and strategic advisory engagements. Define enterprise Data & AI roadmaps aligned to customer business objectives. Architect modern data platforms, AI solutions, analytics platforms, and cloud-native data ecosystems. Lead technical pre-sales activities, solution design, estimations, and proposal development. Support public sector bids, procurements, RFPs, and framework submissions. … across Data & AI capabilities, offerings, and accelerators. Collaborate with strategic technology partners including Microsoft, Databricks, Snowflake, AWS, and Informatica. 15+ years' experience within Data & Analytics, Data Engineering, or Enterprise Data Architecture. Strong experience designing enterprise-scale cloud data platforms using Microsoft Fabric, Databricks, Snowflake, Redshift, Informatica, and Spark-based technologies. ...

join us and let's build what's next - together! About The Role We are seeking a versatile Data Scientist to join the Functional Analytics team. The core mission of our team is to design and develop new functional analytic capabilities or "engines" that integrate directly into Anaplan Applications … training, tracking, deploying, and monitoring models in production (e.g., MLflow, Optuna, Prefect, or Airflow). Background in supply chain forecasting, enterprise AI, or retail analytics M.S. or Ph.D. in Computer Science, Artificial Intelligence, Statistics, Data Science, or a related quantitative field. Our Commitment to Diversity, Equity, Inclusionand Belonging (DEIB ...

both AWS and GCP. Deep expertise in either is welcome, with opportunities to cross-train on the other. Serverless NoSQL, Object Storage, and Serverless Analytics for our data layers. Event buses and messaging queues for asynchronous, decoupled processing. Infrastructure as Code (Pulumi/Terraform) and containerized deployments. The role … platform including architectures and user guides,helping to enforce data management standards. Engage in DataOps practices and improve data delivery performance. Data Science & Analytics Enablement: Partner with data scientists on model productionisation. You will establish clear data contracts and shared standards that enable effective collaboration. Agile Delivery: Work within ...

other non-disability related questions, please reach out to our Talent Partners. Role We’re hiring a Senior Data Engineer to work on the analytics engineering platform at Depop. You’ll work on developing Airflow pipelines, the deployment of dbt models, managing data ingestion through Fivetran and developing internal tooling. … also help enable data scientists and ML engineers to build and deploy models on reliable infrastructure. This role will be embedded in the Analytics Engineering team, which works across all data domains and supports data scientists, ML scientists and internal stakeholders on core datasets and key reporting. Responsibilities ...

decisions, faster. Customers rely on Databricks for the full range of data workloads, including data engineering, ETL, near real-time streaming, machine learning, SQL analytics, and advanced analytics. The Solutions Architect (EDW Migrations) executes on Databricks’ strategic product lines to develop, establish and drive product adoption and product market … Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse ...

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 TE OUR MODERN TE Our Modern Tech Stack: Experience ...

Experience building scalable cloud-based data platforms. Nice to Have Snowflake experience. Broad experience across Databricks , Fabric , and Synapse . Preferred Certifications Microsoft Fabric Analytics Engineer Associate. Microsoft Fabric Data Engineer Associate. #J-18808-Ljbffr ...

/4HANA, SaaS LoB solutions, and partner platforms (e.g., Salesforce, Microsoft) Identify digitization and automation opportunities using AI, Blockchain, IoT, RPA, and advanced analytics Lead assessments, due diligences, and transformation workshops Support clients in building transformation business cases and value realization models Engage directly with senior business stakeholders and communicate … data standardization and harmonization Data-driven organization design, including data governance frameworks, roles, and operating models Data platform selection and architecture for aggregation, analytics, reporting, and monetization Strong familiarity with the SAP product portfolio and SAP consulting landscape Deep functional expertise (Finance & Controlling/Manufacturing/Logistics/Sales ...

using advanced machine learning methods such as Deep Learning and quantitative analytics. Understand business requirements and support the development of business cases. Run discovery analytics to identify new and innovative opportunities. Partner with developers and engineers to deploy machine learning algorithms to deliver business value. Define approaches to embed … Develop others by bringing your unique knowledge and skillsets to the wider practice. Qualification Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred) Proficiency in database technologies eg. SQL, ETL, No‐SQL, DW, and Big Data ...

generation, and documentation Experience building or integrating AI/ML-powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics) Used context-appropriate automated testing to inform software design choices and catch bugs Debugged and refactored pre-existing code to incrementally improve it Collaborated with … building reusable software foundations, internal developer platforms, and infrastructure that other teams build on Data Engineering: including platforms like Databricks for data processing and analytics Delivering production agentic systems, including RAG pipelines, vector search, and agentic frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, and n8n DevSecOps & DevOps MLOps Infrastructure ...

event-driven technologies, middleware, ETL/ELT frameworks, and data streaming services. Develop data flow models, canonical data structures, and data contracts that support analytics and AI adoption. Ensure architecture solutions align with security, privacy, compliance, and governance requirements. Collaborate closely with delivery squads, engineering teams, and product leaders … understanding of Microsoft Azure cloud services, integration platforms, and cloud-native architecture patterns. Experience designing data-centric solutions involving governance, data quality, lineage, and analytics platforms. Proven track record leading architecture reviews and influencing senior technology and business stakeholders. Experience working within regulated environments with strong security, privacy, risk ...

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 ...

seeking a Data Engineer to join the team. A pivotal role has arisen due to strategic growth initiatives focused on enhancing data infrastructure and analytics capabilities. As a Data Engineer, you will play a crucial part in shaping the future of data handling within the organisation, contributing directly to more ...

Family Care LeavePersonal Choice budgetInternal communities and networksVarious employee discountsRecruitment introduction rewardEmployee Assistance Program (global)About the business- A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality … information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science ...

self-service infrastructure blueprints for Development, Applications and wider IT teams. Configure monitoring, observability, log aggregation and operational metrics using Azure Monitor, Log Analytics and Application Insights. Work with Infrastructure, Applications and Security Architects to ensure systems follow Business Continuity and Disaster Recovery guidelines, with documented plans reviewed and tested … practice. Ability to monitor, troubleshoot and assess the operational health of Power Apps, Power Automate flows and underlying connectors. Experience configuring Azure Monitor, Log Analytics, Application Insights and operational telemetry to support platform health and incident response. Excellent technical documentation skills, including best practice guides, architecture records, standard operating procedures ...

growth, margin, costs, and ROI to meet business objectives. Secure alignment of resources for high-quality delivery in line with Ekimetrics’ strategy. Translate complex analytics into compelling narratives and actionable recommendations for senior stakeholders and C-suite clients. Support clients in optimizing marketing spend, improving segmentation, enhancing campaign performance … econometrics, MMM, marketing effectiveness, or data science analytics. Bachelor’s or master’s degree in Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or a related field. Knowledge in Python, SQL, Excel, and visualisation tools; experience with Databricks, Azure, or other cloud/data platforms is a plus. Deep ...

growth, margin, costs, and ROI to meet business objectives. Secure alignment of resources for high-quality delivery in line with Ekimetrics' strategy. Translate complex analytics into compelling narratives and actionable recommendations for senior stakeholders and C-suite clients. Support clients in optimizing marketing spend, improving segmentation, enhancing campaign performance … econometrics, MMM, marketing effectiveness, or data science analytics. Bachelor's or master's degree in Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or a related field. Knowledge in Python, SQL, Excel, and visualisation tools; experience with Databricks, Azure, or other cloud/data platforms is a plus. Deep ...

work, feel included, and their talents are nurtured, empowering them to contribute fully to our purpose. The Role Reports to: Head of Data Analytics & Business Intelligence Location: WeWork HQ (London) - Hybrid (At least once per week) Comp: Negotiable (Base) + Company Performance Bonus (10%) + Share Options + UK iProov … concepts to both technical and non-technical audiences. You’ll stand out if you bring Championing a data mindset across the org. Applying advanced analytics/machine learning techniques to real-world datasets. IDE automation and AI tooling (Cursor, Claude, Copilot, Vertex, Gemini, etc.), LLM integrations applied to data ...

evolve delivery practices towards AI‐native ways of working, using tools such as Azure DevOps, Jira‐style backlog systems, Microsoft 365, Teams, reporting dashboards, analytics platforms, and relevant AI‐enabled delivery tooling to automate, augment, and improve repeatable delivery activities. Desirable - if you have experience with any of the below … Experience delivering products or platforms in news, media, data, or content‐driven environments. Experience working across global teams and time zones. Understanding of audience analytics, experimentation, web performance, content platforms, or customer engagement metrics for digital products. Experience managing third‐party delivery partners, agencies, vendors, or platform providers. Please note ...

care deeply about client success as they help clients transform energy markets, modernise financial platforms, expand telecoms and digital networks through advanced data analytics, enable digital services in government, and unlock growth in consumer sectors. Certified as a Great Place to Work around the world, Baringa has been recognised … varied data sources – everything from kilobytes of academic papers to terabytes of hourly scenario projections for 50+ years. They need rapid access to data, analytics outputs, and highly scalable data processing infrastructure. Our scale and model complexity has reached a point that to continue to achieve our business vision ...

partnering with an established UK business that is expanding its Data, Analytics & AI function and looking for a Senior AI Engineer to lead the development of production-grade AI solutions. This is a senior, hands-on position for someone who can work across the complete AI lifecycle, from data preparation ...

Customers and work closely with teams across: Customer Support Customer Onboarding Sales and Account Management Product and Product Operations Revenue Operations Finance Data and Analytics Program Management and Operations You’ll work with customer stakeholders across finance, procurement, operations, technology, transformation, and executive leadership. You’ll be responsible for creating … into actionable Product and CX insight You can expect to work across a technology environment that includes CRM, Customer Success platforms, support systems, product analytics, business intelligence tools, workflow tools, and collaboration platforms . Examples may include Vitally, Gainsight or similar, Zendesk, Looker, Tableau or Power BI, Jira, Asana ...

architecture, development, and delivery of high-performance financial systems. Youll lead a team of engineers building scalable platforms that power real-time transactions, risk analytics, and next-generation digital financial products. This role blends hands-on engineering with technical leadership, mentoring, and strategic decision-making. Required Skills & Experience Python Expertise ...

care deeply about client success as they help clients transform energy markets, modernise financial platforms, expand telecoms and digital networks through advanced data analytics, enable digital services in government, and unlock growth in consumer sectors.Certified as a Great Place to Work around the world, Baringa has been recognised … varied data sources – everything from kilobytes of academic papers to terabytes of hourly scenario projections for 50+ years. They need rapid access to data, analytics outputs, and highly scalable data processing infrastructure. Our scale and model complexity has reached a point that to continue to achieve our business vision ...

Product Platform Design (PPD) is responsible for the design, build, and evolution of SPDJI’s core product platforms that support index creation, calculation, rebalance, analytics, and distribution. PPD operates using a product-led, service-based delivery model and is organised into value streams aligned to major business domains. The team … Indices is a division of S&P Global (NYSE: SPGI). S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world’s leading ...