1,001 to 1,025 of 6,553 Analytics Jobs in London

Pyspark and SynapseExperience with data modelling and visualisation in Power BI (or alternative)A strong understanding of architecting data platforms, BI, MI, or analytics solutionsStrong experience using Azure Data Lake, Azure Data FactoryDeliver the automation data pipelines and building of a scalable data architecture. ...

Consultant you will be part of both the firm's multi-practice team and the global Digital & Insights group, supporting our growing data and analytics team across the EMEA (Europe, Middle East, Africa) and APAC (Asia and Pacific) regions. The successful candidate will contribute to a wide range of projects … technical knowledge relating to, for example, communications and reputational data, natural language processing, data engineering in consulting environments, or AI and the application of analytics in relation to solving reputational challenges. What You'll DoSupport projects in the areas of audience & influencer insights, conversation & media analysis, campaign & message performance, event ...

interested in working with data and analytics to solve problems? Are you interested in bringing your GenAI, ML and NLP expertise to projects? About our TeamData Science Life Sciences is a diverse team focusing on GenAI, ML, NLP. We mainly develop best-in-class enrichment pipelines for Elsevier's life … help you fit everything in and work when you are the most productive. About the businessAs 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 ...

operating in regulated industries is preferred. Key Responsibilities Design and implement cloud-native data platform architectures on AWS, covering ingestion, streaming, storage, processing, and analytics Architect and guide event-driven and streaming data solutions using Kafka (Confluent Platform/Confluent Cloud); Apache Flink experience is a plus Define and maintain … Familiarity with data governance, lineage, metadata management, and audit requirements Experience overseeing third-party vendors or delivery partners Exposure to modern data platforms supporting analytics and BI workloads Technical Skills AWS Certification (e.g. AWS Certified Solutions Architect - Associate/Professional) is a plus Strong expertise with AWS, particularly services used ...

grounded in how the desk operates. Analyse trading datasets using Python and AI tooling to surface trends, inefficiencies and opportunities. You will encounter execution analytics, Transaction Cost Analysis, Algo Wheel configuration, market microstructure and European regulatory requirements. Comfortable with complex, domain-specific data and rapid learning is required. Modernise … desk. Stakeholder communication. Ability to explain technical trade-offs clearly to non-technical audiences. 2-3+ years in a technical, data or analytics environment. Financial services exposure is a plus, not a prerequisite. Nice to have skills Demonstrated personal interest in AI beyond the workplace. Curiosity and initiative toward ...

science, quantitative research, and trading technology. You will work closely with traders, quants, and technology teams to develop and maintain the desk's tooling, analytics platforms, AI capabilities, and systematic infrastructure. Responsibilities Develop, maintain, and enhance front-office applications, automation frameworks, and trading support tools. Build and manage the desk … Delta One markets. As the business continues to evolve, a key focus area is the development and maintenance of the desk's AI capabilities, analytics platforms, and research infrastructure. You're curious to explore how AI can improve how we build, deliver, and optimize workflows. You do this with sound ...

trust and act onWorks with Engineering to ensure data dictionaries are accurate and maintained, leveraging AI tooling to support documentation quality, and partners with Analytics teams where deeper analysis is required — coordinating and owning the outputProactively drives smaller initiatives and workstreams end-to-end — working directly with engineers from requirements … culture of data-informed decision making across the product teamRequired Qualifications, Capabilities and SkillsTypically, 4–7+ years' experience in a relevant product/analytics roleDegree in a quantitative/technical discipline (e.g., STEM, Economics, Statistics) or equivalent practical experience, with comfort working with technical partners and data-intensive problemsProven experience ...

Works with Engineering to ensure data dictionaries are accurate and maintained, leveraging AI tooling to support documentation quality, and partners with Analytics teams where deeper analysis is required coordinating and owning the output Proactively drives smaller initiatives and workstreams end-to-end working directly with engineers from requirements through … data-informed decision making across the product team Required Qualifications, Capabilities and Skills Typically, 4 7+ years' experience in a relevant product/analytics role Degree in a quantitative/technical discipline (e.g., STEM, Economics, Statistics) or equivalent practical experience, with comfort working with technical partners and data-intensive problems ...

/solve problems and to help develop the team Solve challenging business problems 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 … expertise to new sales activities We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg.?Python, R, Scala, etc.(Python preferred) Strong proficiency in database technologies eg. ...

/solve problems and to help develop the team Solve challenging business problems 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 … expertise to new sales activities We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg.?Python, R, Scala, etc.(Python preferred) Strong proficiency in database technologies eg. ...

budget Internal communities and networks Various employee discounts Recruitment introduction reward Employee 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 ...

Celebrating over 25 years of ground-breaking technological innovation across more than 38,000 trials and 12 million patients, Medidata offers industry-leading expertise, analytics-powered insights, and one of the largest clinical trial data sets in the industry. More than 1 million registered users across approximately 2,300 customers … Product philosophy, our team builds the foundational infrastructure. This infrastructure includes high-throughput streaming and cloud warehousing to automated data governance. It fuels clinical analytics, AI/ML innovations, and global data sharing. Why Join Us? Direct Impact at Scale: Promote the central data engine behind every Medidata application, directly ...

science, quantitative research, and trading technology. You will work closely with traders, quants, and technology teams to develop and maintain the desk's tooling, analytics platforms, AI capabilities, and systematic infrastructure. Responsibilities Develop, maintain, and enhance front-office applications, automation frameworks, and trading support tools. Build and manage the desk … Delta One markets. As the business continues to evolve, a key focus area is the development and maintenance of the desk's AI capabilities, analytics platforms, and research infrastructure. Your Skills And Experience You’re curious to explore how AI can improve how we build, deliver, and optimize workflows. ...

rates, inventory turnover, and customer segmentation. Identify and evaluate growth levers such as pricing strategies, promotional effectiveness, and channel performance. Drive continuous improvement in analytics processes through automation, tooling enhancements, and best practices. Must-Have Skills Domain Knowledge: Understanding of retail operations, consumer sales, and omnichannel strategies. Familiarity with wearable … narratives for executive audiences. Collaboration: Experience working in cross-functional teams and managing multiple stakeholder relationships. Good To Have Skills Understanding of supply chain analytics and inventory optimization. Exposure to machine learning models for sales forecasting or customer segmentation. Experience working in fast-paced, high-growth environments or with consumer ...

open-source technology stack, empowering us to solve complex, high-impact challenges at scale. From cloud-native infrastructure to machine learning platforms, real-time analytics, and proprietary libraries and APIs, we are passionate about using technology to drive innovation and create a competitive edge in global energy commodity trading … Commercial investing teams globally. This position will play an integral role as the firm continues to expand its use of data for advanced analytics and other commercial purposes. ResponsibilitiesExecute data architecture and data management projects for both new and existing data sources. Help transition existing data sets, databases, and code ...

budget Internal communities and networks Various employee discounts Recruitment introduction reward Employee 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 ...

through production deployment and consumption growth Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics Serve as a trusted technical advisor to customer architects, engineering leads, and Directors Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom … 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 ...

Python Infrastructure team; a collaborative group that's always pushing the boundaries of what's possible. This role sits at the intersection of analytics engineering and Python-based data engineering. You'll work on transforming and modelling data using SQL and dbt, while also leveraging Python to build data workflows … specific benefits vary by location and role. For more information, please speak to your Talent Partner. Check out our blog! LocationLondonEmployment TypeFull timeLocation TypeHybridDepartmentGrowth & Analytics ...

owning the overall strategy or technical capability roadmap. The Associate Director will lead discovery, shape recommendations, coordinate implementation and drive adoption across Planning, Activation, Analytics, Finance, Data & Technology and product teams. They will create structure within ambiguous environments, proactively manage delivery risks and bring clear options and recommendations … briefing, planning, buying, activation, finance or reporting. Exposure to taxonomy, naming conventions, unique identifiers, campaign governance, data quality or compliance monitoring. Experience working with Analytics, Data & Technology, engineering or product teams to shape and test solutions. Familiarity with WPP Open, Campaign Governance, Campaign Performance, Power BI or comparable workflow ...

owning the overall strategy or technical capability roadmap. The Associate Director will lead discovery, shape recommendations, coordinate implementation and drive adoption across Planning, Activation, Analytics, Finance, Data & Technology and product teams. They will create structure within ambiguous environments, proactively manage delivery risks and bring clear options and recommendations … briefing, planning, buying, activation, finance or reporting. Exposure to taxonomy, naming conventions, unique identifiers, campaign governance, data quality or compliance monitoring. Experience working with Analytics, Data & Technology, engineering or product teams to shape and test solutions. Familiarity with WPP Open, Campaign Governance, Campaign Performance, Power BI or comparable workflow ...

customers that are struggling with their bills. We’re unique because we are genuinely a hybrid of a few different skills and mindsets: Data analytics is our core skillset. Everyone in the team is very strong in this area We have a firm understanding of the needs of our customers … Finance, and other stakeholders What You'll Have Excellent SQL skills A drive to solve problems using data 2-5 years experience in data analytics in a consumer-facing business What would be a bonus: Python data science stack (pandas, NumPy, Jupyter notebooks, Plotly/matplotlib, etc.) Familiarity with ...

Leadership and Category Management teams through strong communication, and by proactively identifying opportunities for improvement. Act as the main EU partner for our central Analytics & Data Engineering teams to implement reliable & scalable data pipelines that manage & transform the information we need. Build the necessary models and tools to inform … mentor the other analysts in the team to help them develop their skills and deliver great results. You have: 5+ years of experience in analytics or data science - preferably in fields related to grocery, trading, marketing, or consumer product. A strong understanding of statistical analysis and experiment design. A Bachelor ...

best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: Extensive experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems … including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache SparkTM, Delta ...

best practices that scale impact across accounts and influence the Databricks product roadmap.What we look for:6+ years experience in data engineering, data platforms & analytics, or software engineeringComfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworksWorking knowledge of two or more common Cloud ecosystems (AWS, Azure … 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 ...

multi-entity financial data, modelled thoughtfully and available at scale. The platform is Kotlin and Spring microservices, with Python where it pays off: metrics, analytics and our AI work. Good features start well before any code gets written, with clear communication about the outcomes to be delivered, followed by planning … data ingestion, transformation or ETL pipelines. You've dealt with data you couldn't trust. Enough Python to design and review it. Our metrics, analytics and AI services are written in it, so you need to be able to reason about them, not to be a Python specialist. Fluency across ...