1,551 to 1,575 of 5,953 Analytics Jobs in London

charities and causes that matter to you Awards to recognize key service milestones About the business As 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 … 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 and healthcare ...

institutional investors. Data Infrastructure & Research Platform Development - Design, maintain, and evolve the quantitative equity research platform through the integration of agentic AI capabilities, advanced analytics, and scalable research infrastructure across market, fundamental, and alternative datasets. Develop automated workflows and intelligent research tools that enhance the end-to-end research process … from idea generation and signal discovery through to analysis, visualization, and publication. Client Analytics & Custom Research - Conduct bespoke quantitative analyses to support both internal and external stakeholders. Support client interactions by providing data-driven insights on factor performance, sector positioning, market expectations, earnings trends, and portfolio exposures. Qualifications Education - Undergraduate ...

safely feeding the world and taking care of our planet. Join us and help shape the future of agriculture. Job Description Join our global analytics team within Product Biology & Sustainable Innovation and help shape the use of predictive science in Crop Protection R&D. As a Senior Data Scientist – Predictive … machine-learning or predictive models for biological, scientific, agricultural, life-science or Crop Protection-related outcomes Strong knowledge of Python and relevant data science, analytics and modelling tools Strong understanding of model validation, robustness assessment and the interpretation of predictive-model performance Experience analysing complex datasets and translating findings into ...

mitigation Contribute to the annual risk assessment and audit planning process, providing insight into key finance, operations, compliance, and emerging business risks Leverage data analytics, digital tools, and innovative audit techniques to enhance audit quality, efficiency, and insight, while identifying trends, anomalies, and control gaps Coach and support less experienced … based auditing, internal control frameworks (e.g., COSO), the IIA International Professional Practices Framework (IPPF), and accounting and financial reporting principles (IFRS) Experience using data analytics, digital audit tools, ERP and finance systems (e.g., Navision, Business Central), and emerging technologies such as Microsoft Copilot to enhance audit effectiveness and insight Excellent ...

visualise data confidently? Advanced in Excel with strong capability in formulas, PivotTables, macros, data analysis and practical reporting techniques? Confident using AI for analytics including natural‐language exploration, Copilot capabilities and reporting methods advanced by artificial intelligence? Experienced with Power Query and able to transform, clean and combine data from … will design, lead and deliver global technical training that strengthens data literacy, reporting capability and confident use of business intelligence tools and AI‐powered analytics across Sage. You will create engaging learning experiences, champion best practice, and help colleagues turn data into clear insights and emerging AI reporting capabilities. Working ...

right data. Turn messy questions into clear, evidence-based answers. What we’re looking for 5+ years in data engineering and/or analytics on production systems. Strong SQL and Python, with experience in data warehouses and pipeline tooling. Able to both build the plumbing and interpret what the numbers ...

implement appropriate architecture, data model, and system design and interfacing requirements for each project Ability to work in a fast-paced environment. Analytics and other front office tools: Be able to support and further develop other desktop tools built by the quantitative development team. Take ownership of the development infrastructure … above tools and, whenever possible, adopt the company’s standard toolset for source code repository, continuous build and deployment. Work closely with Quantitative Analytics and Quantitative Development team on various technical aspects such as model integration, performance, improvements and tracking issues to deliver highly reliable and highly complex technical solutions. ...

leadership, and track remedial actions and optimisation opportunities to effective closure; Drive and support global projects and initiatives for operations excellence, providing data‐driven analytics and insights to support informed decision‐making What you’ll bring: Bachelor’s degree in Accounting, Finance, Economics, Business Management, Statistics and Mathematics … communication and time/project management skills Strong analytical and problem‐solving skills Fluency in both English and Chinese (spoken and written); Data and analytics skills (e.g. SQL, Looker) are a plus Applicant Safety Policy: Fraud and Third-Party Recruiters To protect you from recruitment scams, please be aware that ...

risk and PnL calculations for complex derivatives portfolios. Deliver strategic initiatives such as onboarding new products, expanding risk and market-data capabilities, building predictive analytics, enhancing pricing applications and improving the performance and scalability of risk calculations. Balance longer-term platform development with rapid delivery of business-critical enhancements … methodologies and PnL concepts, with the ability to engage confidently with traders and quantitative teams. Experience delivering systems involving pricing, risk calculations, PnL, scenario analytics, market-data processing or quantitative business logic is highly desirable. Strong analytical and problem-solving skills with the ability to investigate complex issues spanning business ...

developing robust data observability systems, and embedding governance and GDPR compliance principles across the data lifecycle. You’ll collaborate with product engineering, data platform, analytics, and legal teams to build confidence in data as a product - one that’s reliable, auditable, and actionable. Responsibilities Define and execute the vision … privacy-by-design initiatives, ensuring compliance and traceability across all datasets. Define standards for metadata management, lineage tracking, and access control. Collaborate with analytics and product teams to ensure data definitions and quality metrics are consistent across domains. Mentor engineers and analysts, fostering a culture of data stewardship and accountability. ...

implementation for our foundational data platform — from experimentation, event ingestion pipelines to our data lake, governance frameworks, and data observability and real-time analytics capabilities. You will work closely with data scientists, machine learning engineers, backend teams, and product leaders, providing deep technical expertise to ensure our data systems … data platforms at scale, encompassing both batch processing and real-time streaming architectures. Expertise in data warehousing concepts, advanced ETL/ELT processes, and analytics engineering best practices. Exceptional programming skills, particularly in Python, Scala, or Java, and deep expertise with cloud platforms (AWS, GCP, or Azure). Extensive experience ...

right data. Turn messy questions into clear, evidence-based answers. What we’re looking for 5+ years in data engineering and/or analytics on production systems. Strong SQL and Python, with experience in data warehouses and pipeline tooling. Able to both build the plumbing and interpret what the numbers ...

creators of the transformation. 4. Process-Centric AI, Digital & Data Enablement Treat technology as an accelerator of process and capability; embed AI, advanced analytics, automation, and digital tools directly into streamlined, user-centric R&D workflows. Direct the Product Owner and Data Senior Lead in defining an integrated, value-driven … Frameworks: Skill in designing training, upskilling, and competence certification programs to raise workforce performance. Digital & Data Enablement: Understanding of how PLM, AI, and advanced analytics serve as enablers for modern, streamlined R&D processes. Preferred: Certification in Lean Six Sigma, Agile methodology (e.g., Scrum/SAFe), or Prosci Change Management. ...

collaborate with teams to recommend improvements to troubleshooting guides, content, and performance metrics. Bachelor's Degree Engineering, Computer Science, Information Technology (IT), Data Analytics/Science, Artificial Intelligence (AI), or related field AND 6+ years experience in technology industry, cloud, technical support, and/or customer experience engineering OR equivalent … experience 1+ year(s) of customer facing experience Bachelor's degree in engineering, Computer Science, Information Technology, Data Analytics/Science, Artificial Intelligence, or related field, AND at least 12 years of experience in the technology industry, cloud, technical support, and/or customer experience engineering; OR equivalent experience. 5+ ...

release governance Azure Core Platform Skills Hands‐on engineering across: Subscriptions, Management Groups, RBAC, Policy Virtual Machines, Storage, Backup, DR Azure Monitor, Log Analytics Private Endpoints and secure service exposure Implement secure‐by‐design configurations aligned to enterprise cloud controls Azure Kubernetes Service (AKS) Deploy, configure, and support AKS clusters … policies, and remediation activities Monitoring, BAU & Incident Management Support business‐as‐usual (BAU) cloud operations across environments Monitor cloud services using Azure Monitor, Log Analytics, and alerting tools Investigate incidents, perform root cause analysis, and implement fixes Maintain platform stability, uptime, and service performance Collaboration & Engineering Excellence Work closely with ...

functionally to mitigate risks to delivery Demonstrate the value of product across the organization through reliable, robust delivery Data-Driven Decision Making: Utilize data analytics and user feedback to inform product decisions. Implement user testing and methodologies to validate and improve solutions. Ensure robust metrics and KPIs to measure product … methodologies and creative solutions. Understanding of system architecture, APIs and data warehouses Familiarity with AI/ML technologies and prompt engineering. Knowledge of data analytics and user feedback methodologies. Desirable skills Familiarity with cross-organizational data strategies Proficiency in design and wireframing tools Experience working with technology and data science ...

readiness is aligned with strategic adoption plan which outlines transition from legacy platform to strategic solution across the global footprint Working with the Quant Analytics team and FCD Analytics team for development and management of Machine learning, AI and rules based solution design and delivery Ensure strong processes exist ...

performance metrics. Required Qualifications 7+ years driving large-scale Data, AI, or digital transformation programmes. Proven track record delivering enterprise cloud data platforms, analytics, and machine learning solutions. Deep knowledge of data governance, cloud architecture, and the AI/ML lifecycle. Strong leadership, stakeholder management, and problem-solving skills ...

ability to shape the direction of Data 360, Salesforce’s data platform. The ideal candidate will bring deep expertise in data platforms, data analytics and MarTech, and cloud technologies, combined with a proven track record of driving revenue growth and building high-performing, resilient sales organizations. As AVP of Data … credible spokesperson who can flex between executive audiences and broad employee populations. Required Qualifications Expertise in data platforms, cloud technologies, and data analytics, with a strong ability to communicate complex technical solutions to both technical and non‐technical audiences in EMEA region Proven experience in leading second or third‐line ...

valuation capabilities are designed to support flexible product propositions, including travel experiences, upgrades, bundles, partner offers and ancillary services. Collaborate with Data and Analytics teams to define product success metrics, commercial KPIs and performance reporting requirements. Use customer behaviour, conversion, basket, search and revenue data to identify opportunities to optimise … margin, customer value and operational efficiency. Experience working closely with Engineering teams to deliver scalable, reliable and reusable product capabilities. Experience using data and analytics to monitor product performance, customer behaviour, conversion, basket value and commercial outcomes. Comfortable working with ambiguity and complexity, with the ability to create clarity, structure ...

Experience in selling digital sales propositions including (but not limited to) Application and legacy modernisation Agile, digital factory, and product‐centric delivery models AI, analytics, and data‐driven operating models Change Management Cloud and data platform modernisation Cyber Security & Data Privacy ERP transformation (Microsoft Dynamics preferred) Client & Account Growth Build … evidence of solution sales in digital transformation domains which could include: Application and legacy modernisation Agile, digital factory, and product‐centric delivery models AI, analytics, and data‐driven operating models Change Management Cloud and data platform modernisation Cyber Security & Data Privacy ERP transformation (Microsoft Dynamics preferred) Ability to conduct business ...

note visa sponsorship is not currently available for this position. We are looking for a Senior Full Stack Data Scientist to join our Data & Analytics team at ClearScore. Data Scientists play a key role in our business, driving strategy and decision-making at all levels, which ultimately benefits our users … these connect to our users’ financial wellbeing through the product experience Advanced Python and SQL skills, and a strong understanding of dbt and Analytics Engineering for feature engineering. In-depth knowledge of varied statistical and machine learning techniques. You're capable across the full model lifecycle, including how models ...

IXICO plc (AIM: IXI), is a global leader in neuroscience imaging and biomarker analytics, using its proprietary AI‐driven platform to help advance the treatment of neurological disorders and reduce the uncertainties associated with drug discovery, development and monitoring. As a key part of the global neurological disease research community … clearly to both technical and non‐technical audiences. Industry and domain experience Experience in imaging, clinical technology, software‐as‐a‐service, data platforms or analytics‐led product environments. Experience in healthcare, medtech, biotech or contract research settings. Understanding of clinical evidence generation, product compliance, regulatory pathways or quality requirements relevant ...

mission is to help the innovation community make better decisions faster, with greater confidence, combining the worlds most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows. Protégé in PatentSight is LNIPs next-generation agentic AI assistant, purpose-built for strategic patent analysis. Protégé replaces complex … mission is to help the innovation community make better decisions faster, with greater confidence, combining the worlds most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows. Protégé in PatentSight is LNIPs next-generation agentic AI assistant, purpose-built for strategic patent analysis. Protégé replaces complex ...

trends within the software industry Built or integrated AI/ML features into products and systems, including recommendation engines, NLP, computer vision, predictive analytics, RAG pipelines, and agents Successfully led modernisation and replatforming efforts to align legacy systems with short and long‐term business needs Led and delivered solutions … 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 ...