1,026 to 1,050 of 3,599 Analytics Jobs in England

foster a positive Research policy environment Requirements Customer focus: exceptional customer focus with track record of innovation, evidence-based decision making and data-driven product experimentation SaaS workflow & data analytics portfolio: innovating, scaling and integrating a global SaaS workflow and data analytics portfolio, with disciplined prioritization across innovation, re-platforming, and legacy tech-debt remediation. Consistently delivering high-impact projects … and challenges of higher education and research institutions. M&A experience: experience in building partnerships, as well as identifying and integrating acquisitions GTM: taking a SaaS workflow and data analytics solutions portfolio to market. Education: bachelor's degree required; advanced degree preferred; 15+ years relevant experience Work in a way that works for you: We promote a healthy work/… dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts scheme via Perks at Work 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 More ❯

to join our core build delivery team. This role will be instrumental in designing, developing, and maintaining automated test frameworks and pipelines to support the deployment and validation of analytics solutions on the SAS Viya 4 platform. Key Responsibilities: Working as part of an Agile team participate in ceremonies and contribute to sprint planning, retrospectives, demos and reporting. Utilise strong … automation tooling is implemented and utilised to meet business and technical needs. Design and implement automation test strategies and plans for SAS Viya 4 applications, for UI based Visual Analytics (VA) and Intelligent Decisioning (ID), as well as for integration testing of data pipelines. Develop and maintain test scripts using appropriate automation frameworks (e.g., Selenium, PyTest, JUnit) and integrate them … appropriate defect management is undertaken Ensure results and progress are clearly articulated to relevant stakeholders. Essential Skills & Experience: Working in a collaborative agile environment Test automation for data and analytics platforms, ideally including SAS Viya 4. Assuring the appropriate tool selection for both business and technical needs Setting the strategy and approach for both UI and System Integration based automation More ❯

to join our core build delivery team. This role will be instrumental in designing, developing, and maintaining automated test frameworks and pipelines to support the deployment and validation of analytics solutions on the SAS Viya 4 platform. Key Responsibilities: Working as part of an Agile team participate in ceremonies and contribute to sprint planning, retrospectives, demos and reporting. Utilise strong … automation tooling is implemented and utilised to meet business and technical needs. Design and implement automation test strategies and plans for SAS Viya 4 applications, for UI based Visual Analytics (VA) and Intelligent Decisioning (ID), as well as for integration testing of data pipelines. Develop and maintain test scripts using appropriate automation frameworks (e.g., Selenium, PyTest, JUnit) and integrate them … appropriate defect management is undertaken Ensure results and progress are clearly articulated to relevant stakeholders. Essential Skills & Experience: Working in a collaborative agile environment Test automation for data and analytics platforms, ideally including SAS Viya 4. Assuring the appropriate tool selection for both business and technical needs Setting the strategy and approach for both UI and System Integration based automation More ❯

to join our core build delivery team. This role will be instrumental in designing, developing, and maintaining automated test frameworks and pipelines to support the deployment and validation of analytics solutions on the SAS Viya 4 platform. Key Responsibilities: Working as part of an Agile team participate in ceremonies and contribute to sprint planning, retrospectives, demos and reporting. Utilise strong … automation tooling is implemented and utilised to meet business and technical needs. Design and implement automation test strategies and plans for SAS Viya 4 applications, for UI based Visual Analytics (VA) and Intelligent Decisioning (ID), as well as for integration testing of data pipelines. Develop and maintain test scripts using appropriate automation frameworks (e.g., Selenium, PyTest, JUnit) and integrate them … is undertaken Ensure results and progress are clearly articulated to relevant stakeholders. Essential Skills & Experience: Proven experience in: Working in a collaborative agile environment Test automation for data and analytics platforms, ideally including SAS Viya 4. Assuring the appropriate tool selection for both business and technical needs Setting the strategy and approach for both UI and System Integration based automation More ❯

to - Head of Marketing About Delphi Care Solutions & Roda BI Delphi Care Solutions is a specialist regulatory compliance consultancy for care and education. Roda BI is our new SaaS analytics + AI product that turns operational/clinical data into proactive insights, early-warning signals, and evidence for improvement across the care sector. This is not a corporate comfort-zone … Digital Growth Design and run demand programs across LinkedIn, paid search, content, SEO, webinars, partnerships. Implement AI-powered marketing automation (HubSpot + AI copy, image/video gen, predictive analytics) for lead scoring, nurturing, segmentation, and campaign optimisation. Use AI tools to test, personalise, and scale content across multiple channels while measuring impact on pipeline, CAC, and ROI. Run ABM … touchpoints. Content marketing: high-quality case studies, whitepapers, ROI stories. Events & community: webinars, roundtables, and sector events that build credibility. Manage external agencies/freelancers to extend delivery capacity. Analytics & Reporting Operate an AI-enabled, data-driven marketing stack for automation, attribution, experimentation. Report weekly/monthly/quarterly on pipeline £, MQL/SQL/SQO, CAC, LTV/CAC More ❯

Deliver thought leadership through blogs, whitepapers, and case studies Plan and execute impactful events—webinars, trade shows, conferences Drive joint campaigns with partners to maximise visibility and engagement Use analytics to optimise performance and report on ROI What You'll Bring: Proven B2B marketing experience with strong strategic and creative chops Expertise in digital marketing, CRM (ideally Pipedrive), campaign automation … mindset with a passion for performance metrics Experience in brand building and content strategy Ability to manage budgets and cross-functional collaboration As an industry leading, nationwide Marketing, Digital, Analytics, IT and Design recruitment agency, we are continually receiving new assignments to work on, so keep a close eye on our website, Facebook, LinkedIn and Twitter pages for a full More ❯

company that partners directly with portfolio companies to drive measurable operational and financial performance—powered by data. They’re now hiring a Lead Data Scientist to lead high-impact analytics and machine learning projects across a wide variety of real-world domains. Working closely with a multidisciplinary team, you’ll have the autonomy to shape technical approaches while staying closely … just model accuracy. Requirements: Proven experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering More ❯

company that partners directly with portfolio companies to drive measurable operational and financial performance—powered by data. They’re now hiring a Lead Data Scientist to lead high-impact analytics and machine learning projects across a wide variety of real-world domains. Working closely with a multidisciplinary team, you’ll have the autonomy to shape technical approaches while staying closely … just model accuracy. Requirements: Proven experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering More ❯

company that partners directly with portfolio companies to drive measurable operational and financial performance—powered by data. They’re now hiring a Lead Data Scientist to lead high-impact analytics and machine learning projects across a wide variety of real-world domains. Working closely with a multidisciplinary team, you’ll have the autonomy to shape technical approaches while staying closely … just model accuracy. Requirements: Proven experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering More ❯

company that partners directly with portfolio companies to drive measurable operational and financial performance—powered by data. They’re now hiring a Lead Data Scientist to lead high-impact analytics and machine learning projects across a wide variety of real-world domains. Working closely with a multidisciplinary team, you’ll have the autonomy to shape technical approaches while staying closely … just model accuracy. Requirements: Proven experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering More ❯

to step into a broader architectural remit. You will play a key role in shaping cloud strategies, modernising legacy systems, and enabling advanced technologies such as generative AI, data analytics, and cloud-native applications. Key Responsibilities Design and implement scalable, secure, and high-performing AWS solutions. Lead cloud migration and modernisation initiatives, including mainframe transformation. Collaborate with cross-functional teams … architecture. Ideal for cloud engineers or AWS consultants with deep service-level understanding. Desirable Experience Background in infrastructure or networking. Exposure to generative AI, AWS Contact Center, data and analytics, or mainframe modernisation. Multi-cloud or hybrid cloud experience (e.g. Azure, GCP). Understanding of interoperability across cloud platforms and on-prem environments. Additional Information Candidates must be eligible for More ❯

LOCATION: London, Birmingham, Edinburgh, Bristol or Manchester WORKING PATTERN: Hybrid, 40% (or two days) in an office site About this opportunity: We're the Chief Data & Analytics Office (CDAO) within Lloyds Banking Group CDAO's mission is to promote, embed and commercialise Data and Analytics practice and culture across Lloyds Banking Group. The Data Resilience team is a new chapter … within the Chief Data and Analytics Office. It has the responsibility to define and embed new Strategies, Operating Models and Control Frameworks to protect the Banks critical data services that our customers, colleagues and the market rely upon. The Data Resilience team have 5 main objectives: Setting up a Data Pillar: identify & define critical data assets supporting critical business processes. More ❯

while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span … edge AI software solutions. As a Data Scientist Intern, you'll be part of our rapidly growing team. You'll have the chance to apply data science methods and analytics to real-world business situations across a variety of industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions … building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience) Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into More ❯

culture, they offer tailored financial solutions backed by robust analytics. With continued growth in their data capabilities, they are hiring an Entry-Level Data Analyst to join their finance analytics team. This is an exciting opportunity to start your career in a dynamic, supportive environment where data drives real-world financial impact. Role Overview: Ideal for recent graduates or early … making processes-helping the finance team interpret complex data and identify key trends. You’ll gain hands-on experience with financial data and get the tools to grow your analytics career. Responsibilities: Collect and validate financial data from various sources to ensure accuracy and consistency. Conduct basic-to-intermediate analysis on revenue, expenditure, and other financial KPIs. Assist in building More ❯

proprietary assets. You will work in a multi-disciplinary team and build the firm's reputation in your area of expertise. You will ensure statistical validity and outputs of analytics, AI/ML models and translate results for senior stakeholders. You will write optimized code to advance our Data Science Toolbox and codify analytical methodologies for future deployment. You will … therapeutics, chemicals & materials (including small molecules, proteins, mRNA, polymers, etc.). In this role you will support the manager of data science on the development of data science and analytics roadmap of assets across cell-level initiatives. You will deliver distinctive capabilities, models, and insights through your work with client teams and clients. Your qualifications and skills Master's or … machine learning techniques to solve business problems Proven experience in translating technical methods to non-technical stakeholders Strong programming experience in python (R, Python, C++ optional) and the relevant analytics libraries (e.g., pandas, numpy, matplotlib, scikit-learn, statsmodels, pymc, pytorch/tf/keras, langchain) Experience with version control (GitHub) ML experience with causality, Bayesian statistics & optimization, survival analysis, design More ❯

be doing? As a Mid-Level Data Scientist, you will play a critical role within a multidisciplinary team of data scientists, analysts, and domain experts, developing advanced AI and analytics solutions for the Insurwave platform. This self-sufficient team is responsible for the entire delivery lifecycle—from design and development to testing, deployment, and ongoing support. You will work across … the full machine learning workflow, applying advanced analytics and ML techniques to extract structured insights from complex insurance submission documents, conduct exposure analytics, and model asset behaviour for the commercial insurance market. Responsibilities Design, build, and deploy machine learning models that meet defined performance and business requirements Develop production-ready data science solutions and maintain high-quality, testable code using More ❯

be doing? As a Mid-Level Data Scientist, you will play a critical role within a multidisciplinary team of data scientists, analysts, and domain experts, developing advanced AI and analytics solutions for the Insurwave platform. This self-sufficient team is responsible for the entire delivery lifecycle—from design and development to testing, deployment, and ongoing support. You will work across … the full machine learning workflow, applying advanced analytics and ML techniques to extract structured insights from complex insurance submission documents, conduct exposure analytics, and model asset behaviour for the commercial insurance market. Responsibilities Design, build, and deploy machine learning models that meet defined performance and business requirements Develop production-ready data science solutions and maintain high-quality, testable code using More ❯

Experience working across multiple insurance market segments and use cases (e.g., primary underwriting, reinsurance underwriting, event response, portfolio management, etc.). Knowledge of the key exposure and catastrophe management analytics used across the industry. Experience implementing insurance software and/or SaaS applications. Fluency in additional languages. Education: Possess a BSc, MSc, or equivalent degree in one of the following … and designing key business processes that help companies drive robust risk management practices and maximize risk opportunities? Would you like a role helping to shape the future of insurance analytics and embracing these changes on a market scale? This role is a unique opportunity where every day you will be part of a team advising clients on different topics and … potentially huge transformation opportunities. Key responsibilities include: Workflow Migration and Transformation: Leverage the capabilities of the Intelligent Risk Platform (IRP) and other Moody's solutions to redesign clients' insurance analytics workflows, making them smarter, more efficient, and insightful. Design and develop repeatable solutions to key exposure management and catastrophe modeling workflows, augmenting and extending them with broad Moody's data More ❯

be doing? As a Mid-Level Data Scientist, you will play a critical role within a multidisciplinary team of data scientists, analysts, and domain experts, developing advanced AI and analytics solutions for the Insurwave platform. This self-sufficient team is responsible for the entire delivery lifecycle—from design and development to testing, deployment, and ongoing support. You will work across … the full machine learning workflow, applying advanced analytics and ML techniques to extract structured insights from complex insurance submission documents, conduct exposure analytics, and model asset behaviour for the commercial insurance market. Responsibilities Design, build, and deploy machine learning models that meet defined performance and business requirements Develop production-ready data science solutions and maintain high-quality, testable code using More ❯

automation tooling is implemented and utilised to meet business and technical needs. Design and implement automation test strategies and plans for SAS Viya 4 applications, for UI based Visual Analytics (VA) and Intelligent Decisioning (ID), as well as for integration testing of data pipelines. Develop and maintain test scripts using appropriate automation frameworks (e.g., Selenium, PyTest, JUnit) and integrate them … is undertaken Ensure results and progress are clearly articulated to relevant stakeholders. Essential Skills & Experience: Proven experience in: Working in a collaborative agile environment Test automation for data and analytics platforms, ideally including SAS Viya 4. Assuring the appropriate tool selection for both business and technical needs Setting the strategy and approach for both UI and System Integration based automation More ❯

the modern consumer. 🧑🏼 💻 The Web Analyst will join a collaborative insights team to own and expand the digital data infrastructure. You’ll lead on BigQuery development, support cross-brand analytics, and work closely with commercial teams to turn data into clear, compelling stories. This is a high-impact role with real ownership and visibility, ideal for someone who thrives at … ROAS, ROI, CAC, LTV) Experience building dashboards in tools like Power BI, Looker, or Excel Excellent communication skills — can explain technical work to non-technical stakeholders Background in digital analytics, with at least 2 years’ relevant experience 🖥️ Benefits: Staff discounts across household retail brands Annual bonus scheme and generous holiday Interest-free loans and financial wellbeing support High-impact L More ❯

the modern consumer. 🧑🏼 💻 The Web Analyst will join a collaborative insights team to own and expand the digital data infrastructure. You’ll lead on BigQuery development, support cross-brand analytics, and work closely with commercial teams to turn data into clear, compelling stories. This is a high-impact role with real ownership and visibility, ideal for someone who thrives at … ROAS, ROI, CAC, LTV) Experience building dashboards in tools like Power BI, Looker, or Excel Excellent communication skills — can explain technical work to non-technical stakeholders Background in digital analytics, with at least 2 years’ relevant experience 🖥️ Benefits: Staff discounts across household retail brands Annual bonus scheme and generous holiday Interest-free loans and financial wellbeing support High-impact L More ❯

enterprise ecosystem and assist in managing vendor relationships. 2. Cross-Domain Integration (20%) Design seamless data flows and integrations between finance systems and HR (payroll, benefits), Procurement (AP, spend analytics), Legal (accruals, compliance), and Commercial domains. Govern APIs, middleware, and data models for real-time, secure data sharing across the corporate technology landscape, enabling a single source of truth 3. … Contract Lifecycle Management, Regulatory Reporting). Deep knowledge of finance, HR, and procurement operating models (centralised vs. decentralised). Familiarity with SAP/S4 Hana, SaaS, APIs, data/analytics, and modern EA frameworks. Strong stakeholder engagement and consulting skills - able to operate credibly with C-Suite leadership. Skills Enterprise architecture frameworks, governance, and roadmap design. Integration across Finance, HR … ability to architect solutions that improve financial and operational performance. Exposure to AI/ML use cases in corporate functions (e.g. finance anomaly detection, HR attrition modelling, procurement spend analytics) Job Offer Competitive salary of £100,000 to £130,000 per annum. Bonus target of 18% to reward performance. Private medical coverage for you and your dependents. London allowance of More ❯

What We're Looking For We're seeking an analytical thinker who's naturally curious, proactive, and solutions-focused. You'll need to demonstrate: Essential: Strong experience in fraud analytics within the financial services or personal finance industry Proven technical skills using SAS, SQL, or Python for data mining and analysis Knowledge of fraud detection systems such as Falcon, Hunter … interpret data trends and translate into actionable fraud strategy Strong communication skills, able to influence at all levels Team player with a mentoring mindset Desirable: Experience managing a fraud analytics function Understanding of data warehousing systems and architecture Previous experience writing or managing rule-based systems for fraud detection Why Join Us? Be part of a mission-critical team driving More ❯

to provide data-driven insights into team performance. Coach sales leaders on how to use conversation intelligence and other AI platforms to deliver targeted, effective coaching at scale Performance Analytics & Insights: Utilize data and analytics to measure the effectiveness of leadership development programs. Leverage AI and Large Language Models (LLMs) to identify trends in leadership behaviors that correlate with top … planning, build and inspect sales pipelines, and implement consistent, accurate forecasting cadences to drive predictable revenue AI & Technology Acumen: A strong understanding of how AI, machine learning, and data analytics can be applied to improve sales processes and leadership effectiveness Strategic & Analytical Mindset: Capacity to think strategically, identify complex challenges within a sales organization, and use data to design and More ❯