726 to 750 of 23,321 AI Jobs

core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make … their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies ...

Develop predictive and prescriptive models for dynamic pricing, sales forecasting, demand planning, customer segmentation, lost sales analysis, and inventory replenishment. Apply machine learning and AI techniques using Python, Spark notebooks, Fabric Data Science workloads, and Azure AI/OpenAI capabilities. Fabric supports Azure OpenAI and related AI services through integrated … tooling. Support AI-driven initiatives such as Copilot-enabled analytics, conversational BI, sentiment analysis, speech-to-text analytics, and agentic AI use cases. Work extensively within the Microsoft Fabric ecosystem, including OneLake, Lakehouse, Data Warehouse, Data Factory, Dataflows Gen2, Eventstream/Real-Time Intelligence, Spark notebooks, semantic models, and Power ...

Power BI. Experience working with ERP and CRM systems such as NetSuite, Salesforce, Microsoft Dynamics, Business Central, or similar platforms. Knowledge of AI-powered productivity and automation tools preferred. Strong analytical and problem-solving skills with the ability to interpret complex datasets. Excellent verbal and written communication skills. Ability … included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco ...

world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability … business process. Join our mission to make processes work for people, companies, and the planet. The Role To push further our vision of Enterprise AI, we are looking for a senior leader to grow and lead our team of Enterprise Architects. This high-impact leadership role demands a unique blend ...

quality production code, applying engineering judgment to ensure it meets our standards regardless of whether it originates from you, a teammate, or an approved artificial intelligence toolIdentify opportunities to eliminate or automate remediation of recurring issues to improve operational stability across applications and systemsLead design reviews and architecture discussions … engineering decisions impact users and business outcomesStrong communication skills with the ability to adapt messages for technical and non-technical audiencesResponsible use of approved artificial intelligence tooling, with critical judgement to validate quality, correctness, security, and performancePreferred Qualifications, Capabilities, and SkillsExperience working in financial services or another highly regulated technology ...

research, CRM data, product usage data and business performance metrics into clear, actionable insight. This role is designed to build future data science and AI capability while strengthening day-to-day reporting, dashboarding and evidence-based decision making. You will be responsible for turning customer, commercial and operational data into … evidence, helping the business move towards a more connected view of customer needs, behaviours and outcomes. You will have exposure to data science, automation, AI-ready analytics, cloud environments and customer data architecture. Responsibilities: Analytics and Insight Generation - Analyse customer, product, commercial and operational data to uncover trends, risks ...

Lead GDPR, data protection and data governance activities, ensuring compliance with regulatory requirements and organisational policies. Support the development of future data capabilities, including AI, predictive analytics and enhanced customer insight initiatives. Manage, coach and support the CRM Data Executive, fostering capability development and high performance. Qualifications and Experience Essential … Intelligence or a related field. Salesforce Data Architecture & Management certification or equivalent. Experience using Python for data analysis, automation or process improvement. Knowledge of AI and machine learning applications within CRM and customer analytics. Experience within customer-focused B2B or B2C environments. French language skills Person Specification Strong understanding ...

Head of Data - Hybrid Working | Central Birmingham Competitive Salary + Benefits Lead the Future of Data, Analytics & AI Are you a strategic data leader who still enjoys getting hands-on with technology? Do you want the opportunity to build, shape and lead a modern data function while driving innovation through … AI, analytics and cloud technologies? Our client is looking for an ambitious and forward-thinking Head of Data to join their our growing organisation and help transform the way we use data to drive business performance, client outcomes and future growth. This is an exciting opportunity to join a successful ...

meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping … Experience collaborating with Agile teams, product owners, and cross‐functional stakeholders, with strong communication skills for both technical and non‐technical audiences Awareness of AI‐assisted development tools (e.g., GitHub Copilot, generative AI coding assistants) to improve engineering productivity, code quality, and delivery efficiency Understanding of data engineering considerations ...

pivotal leadership role in this journey. About the Role As Director, Risk and Compliance Engineering & Assurance, you will: Set the technical strategy. Own the AI strategy, foundations, and engineering roadmap for Risk & Compliance, setting the technical direction for how the function adopts and scales AI, automation, and agentic workflows … resilience data products, curated collections of signals from across key areas within Thomson Reuters. Modernise TPRM and partnerships. Mature the automation and agentic-AI capabilities for third-party due diligence (supplier and customer), partnerships due diligence, compressing cycle times while strengthening, not weakening, the quality of assessment and enhancing continuous ...

innovative geospatial solutions: Design, build and continually improve enterprise-scale software platforms, APIs and cloud infrastructure that enable advanced spatial analytics, Earth Observation processing, AI-powered location intelligence and modern GIS services for public and private sector clients. Collaborate across disciplines: Work alongside Senior Engineers, Data Scientists, Geospatial Specialists, User … spatial APIs. Knowledge of open geospatial technologies including PostGIS, GeoServer, OpenLayers, Leaflet, GDAL or QGIS. Experience with geospatial applications that integrate cloud platforms, AI, and Earth Observation data to solve real-world challenges Understanding of modern software architecture including microservices, APIs, serverless computing and event-driven systems. Experience working ...

investment teams to solve trading, portfolio, and risk management challenges Supporting the firm's Risk Intelligence strategy through the application of advanced analytics and AI technologies Ensuring robust engineering standards through testing, monitoring, data governance, and operational resilience Contributing to platform strategy, technical design reviews, and engineering best practice SKILLS … model outputs and reconciling data, methodology, and implementation discrepancies Excellent communication skills with the ability to explain complex concepts clearly Desirable experience: Machine learning, AI, LLMs, or AI-assisted development Cloud platforms, containerisation, CI/CD, streaming technologies, and observability tooling Exposure to multiple asset classes including equities, fixed income ...

SaaS systems, APIs, and public data domains. Translate complex datasets into clear visualisations and actionable insights that support decision-making. Apply data science and AI techniques to enhance analytical outcomes and forecasting accuracy. Ensure data quality, integrity, and governance across all reporting and analytics activities. Responsibilities Design, develop, and maintain … public data sources. Build and optimise data pipelines and ETL workflows for efficient and accurate data movement and transformation. Apply data science and AI techniques, including predictive modelling, clustering, regression, and NLP, to uncover trends and enable forecasting. Design scalable data models and analytics frameworks to support self-service ...

enterprise AIOps platform and strategy, driving the modernization of IT Operations and Site Reliability Engineering (SRE) through intelligent observability, event intelligence, automation, and AI-driven insights. DTS Platform & Tools – Service Enablement: We serve as thought leaders in AIOps, partnering across IT Operations, SRE, engineering, infrastructure, service management, and application teams … Science, Engineering, Information Systems, or a related field, or equivalent practical experience. Machine Learning: Expertise in time-series forecasting, clustering, and correlation algorithms. Generative AI: Experience with LLM prompting, Retrieval-Augmented Generation (RAG), and LangChain. Cloud Infrastructure: Deep understanding of AWS, Azure, or GCP infrastructure componentsAdditional Preferred Qualifications: Experience with ...

Projects You will oversee the delivery and continuous improvement of a diverse portfolio of software products, including: Education Management Systems (EdTech) Student Portals AI-powered Learning Platforms Moodle Integrations AI Assessment & Marking Systems HR & Recruitment Platforms CRM Platforms Hospitality & Operations Systems Travel & Booking Platforms Property Management Systems Website Builder Platforms … Internal Business Applications Compliance & Governance Platforms Almost every product within our organisation is currently undergoing AI transformation. You will play a key role in delivering AI-driven solutions including: Intelligent workflow automation AI chatbots AI document processing AI-assisted reporting Large Language Model (LLM) integrations Business intelligence solutions Predictive analytics ...

changing priorities and explain the data clearly to both technical and non-technical audiences. You will also help create the data foundation for AI-enabled and agentic ways of working. This means making semantic models genuinely usable by AI through strong metadata, clear table, column and measure descriptions, well-defined … explain its outputs and limitations to end users. Release changes safely, manage feedback and make fast, controlled updates as business needs evolve. Fabric and AI-ready semantic models Contribute to the migration of existing reporting and analytical models into Microsoft Fabric. Use relevant Fabric capabilities to create reliable, maintainable ...

delivery schedules. This person will also work closely with regional product partners, sales teams, and key internal stakeholders across teams and functions. Responsibilities include: AI-Assisted Product Development: Leverage AI tools including Claude to accelerate the development of business requirements, working backwards documents, product specifications, and go-to-market materials. … Roadmap: Establish and communicate VDM product priorities and roadmap, including development of a roadmap to enable greater client self-service capabilities within the platform. AI Conversationalist Development: Partner with VDM data engineering teams to support the development and delivery of the AI Conversationalist, a natural language query capability that enables ...

well, together we achieve something extraordinary. Role Purpose We are building a new R&D capability focused on developing data-driven and AI-enabled products for legal services and the wider business of law. The Full-Stack Product Engineer will own the user-facing applications through which lawyers and business … deployment, operation, monitoring and continuous improvement, working within agreed enterprise technology, security and release patterns. The role works closely with a broader team of AI engineers, data engineers and data scientists to turn R&D capabilities into coherent product journeys. You will join a small, hands-on multidisciplinary team working ...

cost efficiency. Creating trusted, reusable data products and common datasets that reduce duplication and support consistent enterprise reporting, client insight, digital services, and AI‐ready use cases. Owning the intake, prioritisation, and delivery of engineering, BI, and analytics demand, balancing strategic change, project delivery, and business‐as‐usual requirements. Partnering … analytics solutions. Strong knowledge of the Microsoft data and analytics ecosystem, including Azure data services, SQL, Power BI, and modern engineering practices. Experience with AI, machine learning, IoT, and Oracle environments is advantageous. Demonstrable experience establishing engineering standards, DevSecOps practices, automated testing, monitoring, data quality controls, and reliable production support. ...

predictive models, and decision-support tools using SQL, R, Python, Power BI, and other approved technologies. Use automation, machine learning, natural-language processing, generative AI, or other emerging methods where they provide a justified, fit-for-purpose improvementData Quality, Assurance, and Lifecycle GovernancePerform data profiling, mapping, cleaning, transformation, source … report reconciliation, and root-cause analysis to confirm the accuracy, completeness, consistency, timeliness, and reliability of analytical outputs. Ensure analytical and AI-enabled solutions are appropriately governed through documented intended use, data lineage, testing, validation or assurance, access controls, version control, change management, human review, explainability, performance monitoring, and retirement ...

highly skilled Senior Data Engineer to become part of our core Enterprise Data Engineering team. You will be a senior member of the larger AI, Data and Innovation organization, responsible for designing and expanding enterprise-level data infrastructure that enables the company's internal teams to interact with data comprehensively. … exploration and embraces continuous learning as core responsibilities. You'll constantly research and implement innovative solutions while integrating vast, diverse data sources into our AI applications, including our industry-leading LLM-powered systems. This role also carries production ownership: you will share on-call responsibility for the pipelines and platforms ...

Interested in training and evaluating large-scale LLMs (>200B) in a frontier research team focused on AI impact in high-stakes domains? Thomson Reuters Foundational Research gives you the opportunity to research & publish on a wide range of topics in AI research while gaining experience working at in a data … experts. We hire world‐leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company’s leading internal AI model development. You will have the opportunity to publish your research findings as well as contribute to our proprietary AI model research & development. Thomson Reuters ...

enterprise AIOps platform and strategy, driving the modernization of IT Operations and Site Reliability Engineering (SRE) through intelligent observability, event intelligence, automation, and AI-driven insights. DTS Platform & Tools – Service Enablement: We serve as thought leaders in AIOps, partnering across IT Operations, SRE, engineering, infrastructure, service management, and application teams … Science, Engineering, Information Systems, or a related field, or equivalent practical experience. Machine Learning: Expertise in time‐series forecasting, clustering, and correlation algorithms. Generative AI: Experience with LLM prompting, Retrieval‐Augmented Generation (RAG), and LangChain. Cloud Infrastructure: Deep understanding of AWS, Azure, or GCP infrastructure components Additional Preferred Qualifications: Experience ...

information and apply analytical thinking and problem-solving skills. Experience applying statistical methods, developing mathematical models, and using large language models (LLMs) and other AI-assisted tools to support data analysis, insight generation, and decision-making. Strong data visualisation and storytelling skills, with the ability to communicate trends, risks ...

Power BI. Preferred Qualifications Previous experience working within a Shared Services, Centre of Excellence or Business Process Outsourcing environment. Hospitality industry experience. Experience applying AI in a business intelligence or analytics context. Experience with Microsoft Power Platform tools, such as Power Apps and Power Automate. Proficiency with relational databases ...