51 to 75 of 6,220 Analytics Jobs

Senior Data Scientist - Product Analytics London, England Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined … customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers. What's the opportunity? The Research, Analytics & Data Science (RAD) team at Intercom use data and insights to drive evidence based decision-making. We're a team of data scientists and product researchers who use data - both … types: pdf, doc, docx, txt, rtf What type of Visa/work permit do you have? (If applicable) Do you have at least 3 years of Product or GTM analytics experience? Select Are you authorised to work in the country in which this role is located?(Intercom sponsors immigration for some roles so we encourage you to still apply if More ❯

Senior Data Scientist - Product Analytics London, England Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined … customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers. What's the opportunity? The Research, Analytics & Data Science (RAD) team at Intercom use data and insights to drive evidence based decision-making. We're a team of data scientists and product researchers who use data - both … types: pdf, doc, docx, txt, rtf What type of Visa/work permit do you have? (If applicable) Do you have at least 3 years of Product or GTM analytics experience? Select Are you authorised to work in the country in which this role is located?(Intercom sponsors immigration for some roles so we encourage you to still apply if More ❯

Mindbank is seeking a Marketplace Data Analyst to support a federal health IT initiative focused on large-scale data analytics and reporting for the Federally Facilitated Marketplace (FFM). You will analyze complex datasets across multiple platforms, identify key patterns, and transform findings into compelling visual reports to support data-driven decisions. The role involves daily collaboration with cross-functional … technical and business teams to ensure data analytics solutions align with mission objectives. You will be integrated into a collaborative, mission-driven team helping to optimize marketplace functionality, enhance consumer experience, and ensure operational excellence across all agent/broker and data analytics domains. The Marketplace Data Analyst will be expected to: • Collect, process, and analyze data from various systems … Mathematics, or a related field. • An additional four (4) years of relevant experience may be substituted for a bachelor's degree. CERTIFICATION(S): • Required: None • Preferred: Certifications in data analytics platforms or tools (e.g., Power BI, Tableau, AWS Certified Data Analytics, SAS Certified Specialist, Splunk Core Certified User) YEARS' EXPERIENCE: • Minimum of 5 years of relevant data analytics or data More ❯

of finance and actuarial principles, especially those related to Solvency II, IFRS 17, or GAAP, and how they apply to modelling, reporting, and regulatory compliance. Python Proficiency for Advanced Analytics - you'll use Python to develop scripts for automation, data transformation, and analytics - enabling everything from reserves analysis to forecast simulations. What's involved: Design, build, and optimise scalable ETL … sources into centralised data platforms. Collaborate with finance and actuarial teams to understand and support modelling assumptions and outputs. Develop and maintain Python scripts for data transformation, automation, and analytics (e.g., reserves analysis, forecast simulations). Create and manage relational and dimensional data models for reporting. Ensure data quality and consistency across finance and actuarial models; implement validation controls and … and building solutions that make a real impact - even if you don't tick every box - don't let that stop you. Whether your background leans more towards engineering, analytics, or finance, what matters most is your ability to learn, collaborate, and drive meaningful change. Hit the apply button now! What can we do for you? People first. Always. We More ❯

data privacy, security and ethical guidelines in data analysis and model development. • Collaborate with data engineers to access, integrate and preprocess data for analysis purposes. • Provide expertise in advanced analytics and data science techniques to support decision-making and mission-critical operations. Staying current with the latest developments in data science, machine learning, and artificial intelligence to apply innovative approaches … and DAF data related laws, regulations, and policies (preferred). • Experience supporting the Air Force (preferred). • Multiple data analysis languages, methods, and tool expertise (preferred) Desired Certifications: • Certified Analytics Professional (CAP) • SAS Certified Professional: AI and Machine Learning (preferred) • SAS Certified Advanced Analytics Professional (preferred) • SAS Certified Data Scientist (preferred) • DataBricks Certified Data Engineer Professional (preferred) Travel: Some travel More ❯

of finance and actuarial principles, especially those related to Solvency II, IFRS 17, or GAAP, and how they apply to modelling, reporting, and regulatory compliance. Python Proficiency for Advanced Analytics - you'll use Python to develop scripts for automation, data transformation, and analytics - enabling everything from reserves analysis to forecast simulations. What's involved: Design, build, and optimise scalable ETL … sources into centralised data platforms. Collaborate with finance and actuarial teams to understand and support modelling assumptions and outputs. Develop and maintain Python scripts for data transformation, automation, and analytics (e.g., reserves analysis, forecast simulations). Create and manage relational and dimensional data models for reporting. Ensure data quality and consistency across finance and actuarial models; implement validation controls and … and building solutions that make a real impact - even if you don't tick every box - don't let that stop you. Whether your background leans more towards engineering, analytics, or finance, what matters most is your ability to learn, collaborate, and drive meaningful change. Hit the apply button now! What can we do for you? People first. Always. We More ❯

of finance and actuarial principles, especially those related to Solvency II, IFRS 17, or GAAP, and how they apply to modelling, reporting, and regulatory compliance. Python Proficiency for Advanced Analytics - you'll use Python to develop scripts for automation, data transformation, and analytics - enabling everything from reserves analysis to forecast simulations. What's involved: Design, build, and optimise scalable ETL … sources into centralised data platforms. Collaborate with finance and actuarial teams to understand and support modelling assumptions and outputs. Develop and maintain Python scripts for data transformation, automation, and analytics (e.g., reserves analysis, forecast simulations). Create and manage relational and dimensional data models for reporting. Ensure data quality and consistency across finance and actuarial models; implement validation controls and … and building solutions that make a real impact - even if you don't tick every box - don't let that stop you. Whether your background leans more towards engineering, analytics, or finance, what matters most is your ability to learn, collaborate, and drive meaningful change. Hit the apply button now! What can we do for you? People first. Always. We More ❯

Aimpoint Digital is a premier analytics consulting firm with a mission to drive business value for clients through expertise in data strategy, data analytics, decision sciences, and data engineering and infrastructure. This position is within our decision sciences practice which focuses on delivering solutions via machine learning and statistical modelling. What you will do As a part of Aimpoint Digital More ❯

or Snowflake platforms. The ideal candidate will have extensive experience in designing and implementing scalable data warehouse and business intelligence solutions, with a strong emphasis on statistical and advanced analytics . The role involves close collaboration with cross-functional teams to gather data requirements and ensure data integrity and consistency across systems. Insurance domain expertise is mandatory in Commercial/… or Snowflake platforms. The ideal candidate will have extensive experience in designing and implementing scalable data warehouse and business intelligence solutions, with a strong emphasis on statistical and advanced analytics . The role involves close collaboration with cross-functional teams to gather data requirements and ensure data integrity and consistency across systems. Insurance domain expertise is mandatory in Commercial/ More ❯

as well as specialist practices Publicis Media Exchange (PMX), Performics, Publicis Sport & Entertainment, Publicis Media Content and NextTECHnow. Together they combine deep expertise in media investment, strategy, insights and analytics, data and technology, commerce, performance marketing and content. Publicis Media is part of Publicis Groupe and is present in more than 100 countries with over 23,500 employees worldwide. Our … automations focused on areas such as campaign optimization, audience segmentation, creative generation, bid management, reporting, and measurement• Develop and implement AI-powered measurement solutions: Create advanced attribution models, predictive analytics tools, and automated reporting dashboards that leverage AI to provide deeper insights into campaign performance and ROI• Build and deploy AI automations leveraging LLMs and AI agent frameworks: Design and … scale them within an organization• Strong coding skills in Python or similar languages, with experience in developing and deploying AI/ML models• Proficiency in working with data and analytics platforms, including experience with data manipulation, analysis, and visualization• Excellent analytical and problem-solving skills, with the ability to translate complex data into actionable insights• Strong communication, presentation, and interpersonal More ❯

as well as specialist practices Publicis Media Exchange (PMX), Performics, Publicis Sport & Entertainment, Publicis Media Content and NextTECHnow. Together they combine deep expertise in media investment, strategy, insights and analytics, data and technology, commerce, performance marketing and content. Publicis Media is part of Publicis Groupe and is present in more than 100 countries with over 23,500 employees worldwide. Our … automations focused on areas such as campaign optimization, audience segmentation, creative generation, bid management, reporting, and measurement• Develop and implement AI-powered measurement solutions: Create advanced attribution models, predictive analytics tools, and automated reporting dashboards that leverage AI to provide deeper insights into campaign performance and ROI• Build and deploy AI automations leveraging LLMs and AI agent frameworks: Design and … scale them within an organization• Strong coding skills in Python or similar languages, with experience in developing and deploying AI/ML models• Proficiency in working with data and analytics platforms, including experience with data manipulation, analysis, and visualization• Excellent analytical and problem-solving skills, with the ability to translate complex data into actionable insights• Strong communication, presentation, and interpersonal More ❯

Google Cloud consultancy. At Qodea, you'll be part of a team energised by innovation and passionate about delivering exceptional results. We craft cutting-edge solutions in data and analytics, AI, cloud infrastructure and security, driving digital transformation that empowers our customers to scale, modernise and lead in their industries. We're driven by ideas and powered by our people. … ensure data quality and accuracy: Collaborate with data scientists and analysts to design and optimise data models for analytical and reporting purposes Develop and maintain data models to support analytics and reporting Monitor and maintain data infrastructure to ensure availability and performance What You'll Need to Succeed Experience in contributing to technical decision making during in-flight projects. A More ❯

environment without direct management responsibilities. Technical Governance: Provide technical governance and assurance for proposed solutions throughout the delivery lifecycle, ensuring compliance with industry standards and best practices. Data and Analytics Handling: Manage and analyse data to support decision-making processes. Implement data governance frameworks and ensure data integrity, security, and compliance. This should include relational, graph, key-value and streaming … computation applications. Broad understanding of the software development lifecycle, including the application of LLM driven and Data Science DevOps/MLOps/AIOps methodologies. Expertise in data management and analytics, including data structures, data processing, data modelling, and statistical analysis. Knowledge of Python and C# for development and scripting. Leadership: Proven from-scratch creative solution development with incomplete requirements and More ❯

environment without direct management responsibilities. Technical Governance: Provide technical governance and assurance for proposed solutions throughout the delivery lifecycle, ensuring compliance with industry standards and best practices. Data and Analytics Handling: Manage and analyse data to support decision-making processes. Implement data governance frameworks and ensure data integrity, security, and compliance. This should include relational, graph, key-value and streaming … computation applications. Broad understanding of the software development lifecycle, including the application of LLM driven and Data Science DevOps/MLOps/AIOps methodologies. Expertise in data management and analytics, including data structures, data processing, data modelling, and statistical analysis. Knowledge of Python and C# for development and scripting. Leadership: Proven from-scratch creative solution development with incomplete requirements and More ❯

environment without direct management responsibilities. Technical Governance: Provide technical governance and assurance for proposed solutions throughout the delivery lifecycle, ensuring compliance with industry standards and best practices. Data and Analytics Handling: Manage and analyse data to support decision-making processes. Implement data governance frameworks and ensure data integrity, security, and compliance. This should include relational, graph, key-value and streaming … computation applications. Broad understanding of the software development lifecycle, including the application of LLM driven and Data Science DevOps/MLOps/AIOps methodologies. Expertise in data management and analytics, including data structures, data processing, data modelling, and statistical analysis. Knowledge of Python and C# for development and scripting. Leadership: Proven from-scratch creative solution development with incomplete requirements and More ❯

environment without direct management responsibilities. Technical Governance: Provide technical governance and assurance for proposed solutions throughout the delivery lifecycle, ensuring compliance with industry standards and best practices. Data and Analytics Handling: Manage and analyse data to support decision-making processes. Implement data governance frameworks and ensure data integrity, security, and compliance. This should include relational, graph, key-value and streaming … computation applications. Broad understanding of the software development lifecycle, including the application of LLM driven and Data Science DevOps/MLOps/AIOps methodologies. Expertise in data management and analytics, including data structures, data processing, data modelling, and statistical analysis. Knowledge of Python and C# for development and scripting. Leadership: Proven from-scratch creative solution development with incomplete requirements and More ❯

environment without direct management responsibilities. Technical Governance: Provide technical governance and assurance for proposed solutions throughout the delivery lifecycle, ensuring compliance with industry standards and best practices. Data and Analytics Handling: Manage and analyse data to support decision-making processes. Implement data governance frameworks and ensure data integrity, security, and compliance. This should include relational, graph, key-value and streaming … computation applications. Broad understanding of the software development lifecycle, including the application of LLM driven and Data Science DevOps/MLOps/AIOps methodologies. Expertise in data management and analytics, including data structures, data processing, data modelling, and statistical analysis. Knowledge of Python and C# for development and scripting. Leadership: Proven from-scratch creative solution development with incomplete requirements and More ❯

a Senior Data Engineer, you will be a technical leader within this dynamic team, driving innovation and engineering excellence. You'll work closely with teams across the organisation, including Analytics and Cloud Engineering, to cultivate a data-driven culture and lead initiatives that turn data into a powerful tool for transformation. This role offers a unique opportunity to shape the … or Physics. Azure Data Engineer Associate certification or higher OR Azure AI Engineer Associate certification or higher. Desirable Significant exposure to Azure utilising some of the following: Azure Synapse Analytics, Azure SQL, Azure Data Factory, Azure Data Lake, Azure DevOps and PowerBI. Azure Data Engineer Associate certification or higher OR Azure AI Engineer Associate certification or higher. Experience implementing solutions More ❯

Quality · Work closely with the BI team on data modelling and ensuring data accuracy, completeness, and reliability. · Conduct regular data quality checks and resolve inconsistencies in data. Risk & Trading Analytics · Collaborate with Risk Management and Operations teams to enhance risk monitoring and reporting. Technology & Automation · Use Python, SQL, and Databricks to analyse in house data. · Explore opportunities to apply AL More ❯

Quality · Work closely with the BI team on data modelling and ensuring data accuracy, completeness, and reliability. · Conduct regular data quality checks and resolve inconsistencies in data. Risk & Trading Analytics · Collaborate with Risk Management and Operations teams to enhance risk monitoring and reporting. Technology & Automation · Use Python, SQL, and Databricks to analyse in house data. · Explore opportunities to apply AL More ❯

Quality · Work closely with the BI team on data modelling and ensuring data accuracy, completeness, and reliability. · Conduct regular data quality checks and resolve inconsistencies in data. Risk & Trading Analytics · Collaborate with Risk Management and Operations teams to enhance risk monitoring and reporting. Technology & Automation · Use Python, SQL, and Databricks to analyse in house data. · Explore opportunities to apply AL More ❯

Quality · Work closely with the BI team on data modelling and ensuring data accuracy, completeness, and reliability. · Conduct regular data quality checks and resolve inconsistencies in data. Risk & Trading Analytics · Collaborate with Risk Management and Operations teams to enhance risk monitoring and reporting. Technology & Automation · Use Python, SQL, and Databricks to analyse in house data. · Explore opportunities to apply AL More ❯

Quality · Work closely with the BI team on data modelling and ensuring data accuracy, completeness, and reliability. · Conduct regular data quality checks and resolve inconsistencies in data. Risk & Trading Analytics · Collaborate with Risk Management and Operations teams to enhance risk monitoring and reporting. Technology & Automation · Use Python, SQL, and Databricks to analyse in house data. · Explore opportunities to apply AL More ❯

integrating data from various sources. As a Software Engineer, you will play a key role in designing, developing, and maintaining scalable data infrastructure that supports our business intelligence and analytics efforts. Key Responsibilities: Data Pipeline Development: Design, develop, and maintain robust data pipelines and ETL processes to ingest, transform, and load data from diverse sources into our data warehouse. Data More ❯

our scientific user base. This includes collaborating with cross-functional teams to understand user requirements, designing scalable and efficient application architectures, and ensuring the integration of cutting-edge data analytics and tools. The role demands a proactive approach to staying abreast of the latest technological advancements in application development and software engineering practices, ensuring that our applications not only meet More ❯