1,576 to 1,600 of 5,940 Analytics Jobs in London

drive insights which improve the business. Since Smarkets produces a huge amount of data - including sports event data, payments information, order flow and user analytics - there are many opportunities for the team to add real business value. The team’s responsibilities currently span across three different areas: Data Engineering: development … infrastructure like Redshift or BigQuery; Data Science and Machine Learning: data exploration, ML models training and ML Ops to extract new insights from data; Analytics and Reporting: creation of data models and dashboards as well as automation of reporting pipelines for different teams, stakeholders and third-parties. In a typical ...

Change and Operations behind a single, shared vision. Data-driven and experimentation-led; fluent in funnels, cohorts, attribution, A/B testing and behavioural analytics; sets metrics and closes the loop. Strategic and systems-thinker who can hold the long-arc view while making sharp, near-term prioritisation calls. Regulatory … regulated environment with Consumer Duty (or equivalent) embedded across decision-making. Strong commercial and analytical skills – fluent with business case shaping, KPI definition, digital analytics and experimentation frameworks. Agile delivery expertise; experience running enduring cross-functional squads end-to-end (discovery to live). Excellent stakeholder management and senior communication ...

period of integration to transformation. The Group is a proven innovator with its market leading strategic partnership with Microsoft enabling next-gen data, analytics and cloud infrastructure solutions. LSEG operates across the following divisions: Data & Analytics: delivering data-driven insights, workflow and products to customers simply and flexibly so they ...

technology disciplines to deliver business outcomes at scale.* Shape and oversee the deployment of Industry 4.0 solutions, including MES, Industrial IoT, AI-powered manufacturing analytics, digital work instructions, connected worker and digital twin capabilities.* Develop Capgemini’s offerings for Physical and Agentic AI at our manufacturing clients.* Drive client value … development through to implementation and value realisation.* Strong knowledge of Smart Manufacturing and Industry 4.0 technologies including Manufacturing Execution Systems (MES), Industrial IoT, advanced analytics, AI, digital work instructions and connected worker solutions.* Demonstrable track record of delivering measurable improvements in productivity, lead time, quality, operational efficiency and cost competitiveness. ...

start from the problem statement and work backward to the technology. Your deep functionalexpertise in market data, portfolio/index management, and financial data analytics enables you to designplatforms that meet both functional and non-functional requirements. You will be at the forefront of our AI transformation, championing the adoption … trade-offs between cost,security, scalability, testability, and maintainability Market data systems experience: Significant background in market data, portfolio/indexmanagement, or financial data analytics Real-time systems knowledge: Understanding of real-time systems and/or cloud-based real-timemethodologies AI advocate: Hands-on experience using AI technologies ...

strategy? We're partnered with an AI-powered SaaS business helping enterprises unlock value from large-scale first-party customer data through AI, analytics and decision intelligence. Their platform combines Data Science, Data Engineering and application development to deliver customer growth solutions across Financial Services, Insurance, Retail and Healthcare. Having ...

data-driven marketing and technology consultancy that helps organisations better understand their customers and maximise commercial performance. Working across large-scale customer data, analytics and AI projects, they partner with well-known organisations to deliver data-led solutions. With continued project wins and growth plans, they are looking to strengthen ...

analysts Relevant experience in a data-driven and complex environment with limited guidance Understanding of event data and tools such as Mixpanel, Google Analytics, Amplitude, or similar Strong communication and stakeholder management skills Ability to translate data into compelling narratives Ability to take work beyond analysis and deliver results Nice ...

issues proactively while reducing manual intervention. Develop and maintain operational runbooks, escalation protocols, and incident playbooks to strengthen resilience. Partner with data engineering and analytics teams to align operational strategy with business goals and future platform roadmap. Skills Required: Operational Leadership: Proven track record in leading operations for large-scale ...

functions! The Company This leading UK financial services business has built one of the most mature data science capabilities in the industry, using advanced analytics and machine learning to drive commercial decision-making across millions of customers; with significant investment in technology, data and AI, the business continues to grow ...

data-driven marketing and technology consultancy that helps organisations better understand their customers and maximise commercial performance. Working across large-scale customer data, analytics and AI projects, they partner with well-known organisations to deliver data-led solutions. With continued project wins and growth plans, they are looking to strengthen ...

using machine learning, generative AI, and cloud technologies. What you'll do Lead the end-to-end delivery of AI, machine learning, and advanced analytics solutions from concept through production. Provide technical leadership across multiple AI initiatives, ensuring high standards for architecture, engineering, scalability, and deployment. Design and build ...

most of the following: Python or similar scripting languages for data exploration and preparation. Machine learning and statistical methods, including model validation. Data analytics and visualisation techniques. Processing large datasets using batch or streaming tools such as Apache Spark. Data acquisition and fusion approaches. Cloud platforms (ideally AWS) and cloud ...

commercial outcomes, with the backing of a highly skilled, collaborative data team. The Company They are a specialist, data led organisation applying advanced analytics and machine learning to solve complex commercial problems. Their work spans the full lifecycle of data products, from discovery through to deployment, with a strong focus ...

This is a hands-on, high-ownership role where you'll define the data architecture, set engineering standards and build systems that power product analytics and modern AI capabilities. Start-up or Scale-up experience required coupled with a computing degree from a Russell Group university. What ...

Описание EPAM helps pharmaceutical and life sciences organizations use data, AI, and advanced analytics to transform R&D, clinical, and commercial functions. Its solutions address drug discovery, clinical development, pharmacovigilance, and patient engagement. Задачи Design and implement AI-driven solutions for drug discovery, clinical trial optimization, and pharmacovigilance; Advise executive ...

Requirements: Proven experience in a Senior Data Architect or similar enterprise-level role. Strong expertise in data governance, data quality, metadata management, data integration, analytics, and data security. Advanced knowledge of conceptual, logical, and physical data modelling. Experience producing architecture artefacts including ERDs, data dictionaries, taxonomies, ontologies, and enterprise data ...

tactical and strategic decisions. Leverage AI and automation tools to accelerate analytical workflows and uncover deeper insights. Requirements: 6+ years of experience in data analytics, preferably in consumer-facing digital products. Strong command of SQL, Python, and data visualization tools (e.g., Tableau, Looker, Matplotlib). Proven ability to design ...

influence on marketing performance and commercial outcomes Fast-paced, data-rich, international environment with strong growth ambition Close collaboration with senior stakeholders across marketing, analytics, and operations Opportunity to shape how data is used to drive acquisition efficiency and business performance ...

setup. Well versed in Ladder Logic, SQL queries, Structured Text, and demonstrates a strong aptitude for programming concepts. Strong Microsoft application capabilities including Data Analytics, Excel, and Power BI. Highly analytical and data driven. Experience in reviewing and maintaining system architectures, standards, change control procedures, and system backups. Understanding ...

preferably using Jitterbit or similar iPaaS solutions (e.g. Mulesoft) Salesforce experience (ADM201) preferred Significant experience as a Data professional, ideally from a Systems or Analytics background, with excellent knowledge of Business Intelligence/Management Information best practices. Excellent knowledge of data management and decision support systems. This should include data ...

architect who thrives in complex transformation environments and understands how to connect AI capability with business value. Essential experience: 10+ years' experience in data, analytics, AI, or enterprise architecture Strong consulting background delivering technology and AI transformation programmes Deep understanding of AI, machine learning, GenAI, and cloud data platforms Experience ...

financial instruments (stocks, bonds, swaps, options, futures, forwards, derivatives, FX). Experience with advanced investment data concepts such as holdings, transactions, security master, analytics, and performance. Detailed knowledge of investor workflows in research/valuation, analysis and portfolio construction. Hands‐on SQL knowledge for data extraction and troubleshooting. Experience supporting ...

platform while remaining actively involved in technical delivery. What You’ll Be Doing Provide hands‐on technical leadership across a strategic GCP data and analytics platform Set technical direction and help shape the platform roadmap Design and deliver secure, scalable and resilient GCP solutions Mentor engineers and improve technical capability ...

robust software engineering practices. Key Tech Stack & Environment You will oversee delivery within a high-performing environment utilizing: Languages & Frameworks: Python, React Data & Analytics Platforms: Palantir, MongoDB Cloud & Infrastructure: AWS, Azure, VMware, Kubernetes What We Are Looking For Active DV Clearance: Must hold valid Developed Vetting (DV) security clearance ...