1,101 to 1,125 of 3,521 Remote/Hybrid Analytics Jobs

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 ...

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 ...

behavioral triggers. Troubleshoot and solve technical problemsInvestigate and resolve issues related to audience qualification, journey logic, personalization, data discrepancies, and campaign performance. Partner with Analytics, MarTech, and Engineering teams to diagnose integration and data flow issues. Proactively identify risks and implement scalable solutions. Drive experimentation and performance optimizationDesign A/… improve audience targeting, customer journeys, and content effectiveness. Share insights and recommendations with stakeholders. Partner across the businessCollaborate closely with Product Marketing, Product, Analytics, Engineering, Creative, Sales, and Customer Success teams. Translate business goals into effective CRM strategies. Act as a trusted CRM expert and strategic partner across the organization. ...

5+ years. Here are some things we've worked on recently that give a sense of the work we do: Building a data analytics tool using a Neo4J graph database. A DevOps platform to support 3000 users. Processing digital forensic data to enable search and insight generation. A search … GitLab or other DevOps platforms) to support consistent and secure deployments. Proactively monitor, troubleshoot, and continuously improve platform environments using appropriate logging, monitoring, and analytics tools. Lead on and contribute heavily to resolving difficult issues and major incidents. Embed secure design principles into everything you build, proactively seeking security advice. ...

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 ...

integrations between services and processes into complex environments Technical Skills [Required] Knowledge and/or vested interest in event driven applications, streaming and batch analytics technologies [Preferred] Knowledge and/or vested interest in cloud technologies; experience working with AWS [Required] Knowledge and/or vested interest in different data … management and visualization tools (SQL, Figma, Tableau, Business Objects, etc.) [Required] Knowledge and/or vested interest in complex data analytics supported by python and R [Required] Knowledge of Business Analysis best practices including requirements elicitation, solution evaluation, requirements analysis, gap analysis, and requirements decomposition [Preferred] Familiarity or experience working ...

ingestion pipelines using Azure Data Factory (ADF) Develop and support data warehousing solutions within Snowflake Design and optimise dimensional data models for reporting and analytics Support the migration and development of solutions within Microsoft Fabric Work closely with analysts and stakeholders to deliver high-quality data assets YOUR SKILLS ...

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 ...

role: I'm looking for a Contract Data Architect/Consultant to lead a greenfield Power BI initiative , designing and implementing the reporting and analytics environment from the ground up as the first step in a wider transformation within a rapidly scaling business. Own the initial setup and architecture ...

forecasting processesBuilding driver-based planning modelsWorking closely with Data Engineering teamsAutomating reporting and variance analysisSupporting AI-enabled finance workflowsActing as the link between Finance, Analytics and TechnologyWe are keen to speak with individuals who have: Qualified Accountant CIMA/ACA/ACCAStrong FP&A/commercial finance experienceExperience improving forecasting ...

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 ...

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 ...

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 ...

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 ...

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 ...

analysis function across key, nationwide sites. A company based in South Yorkshire within the business services industry. Description Administer, maintain, and enhance IBM Planning Analytics (TM1) environments. Develop and support business planning, forecasting, and reporting models. Opportunity to build balance sheet and cash flow planning models. Ensure actual financial ...

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. ...

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. ...

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. ...

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 ...

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 ...

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 ...