676 to 700 of 20,713 Permanent AI Jobs

Solutioning Lead Experience (In Years) 12-15 Job Location London, United Kingdom Job Description EXL (NASDAQ: EXLS) is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data … AI, and deep industry knowledge to transform businesses, including the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York ...

LondonLondon – Data Science & AI/Permanent position/HybridLondon – Data Scientist & Marketing Effectiveness (MMM)Ekimetrics is a global leader in Marketing Effectiveness and AI-powered solutions. Since 2006, we've been helping businesses optimise marketing and operations by combining AI with business and tech expertise across 4 domains: Marketing Effectiveness … deliver tailor-made solutions that turn data into real positive impact, leveraging our unique combination of technology and services. We excel at delivering AI impact at scale. Our mission is to harness this power to tackle the world's most urgent issues. We commit to responsibility and frugality in AI ...

description Marketing is increasingly shaped by data, AI, and automation - and practitioners who understand all three are rare. As a Senior Consultant specialising in Agentic Marketing Data & Analytics, you will work at the intersection of marketing analytics, AI, and data strategy, helping clients harness data to understand their customers more … successful in this role, you will need a growing combination of analytical, technical, and communication skills, paired with a genuine passion for data, artificial intelligence, and their application in marketing contexts. You will have: A foundational understanding of data analysis principles and marketing analytics, including concepts such as customer segmentation ...

description Marketing is increasingly shaped by data, AI, and automation - and practitioners who understand all three are rare. As a Senior Consultant specialising in Agentic Marketing Data & Analytics, you will work at the intersection of marketing analytics, AI, and data strategy, helping clients harness data to understand their customers more … successful in this role, you will need a growing combination of analytical, technical, and communication skills, paired with a genuine passion for data, artificial intelligence, and their application in marketing contexts. You will have: A foundational understanding of data analysis principles and marketing analytics, including concepts such as customer segmentation ...

leadership capability and supporting high performance across teams.- Adds to team culture of diversity, equity, inclusion, and respect. Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness … security, including setting standards and driving adoption across teams.- Demonstrated proficiency in software applications and processes within a technical domain, such as cloud, artificial intelligence, machine learning, mobile, etc.- Practical cloud native experience, deploying Kubernetes applications on a cloud service provider, such as Google Cloud, Amazon Web Services, or Microsoft ...

Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success … correspondence. Candidate data processed during our recruitment activities is handled in accordance with our Candidate Privacy Notice. This may include the use of artificial intelligence or automated tools to assist our team in evaluating qualifications. ...

priorities, ensuring we operate within our risk appetite. You will collaborate with stakeholders to develop and implement solutions that support our commercial goals, harnessing artificial intelligence and machine learning. Your work will contribute to a culture of integrity, innovation, and excellence. Job Responsibilities: Support and drive adherence to data risk … regulations related to data management and governance Experience implementing firmwide policies and standards Excellent stakeholder management skills and experience coordinating across functional teams Foundational AI/GenAI literacy and ability to identify opportunities for AI implementation to improve efficiency and drive automation Experience in strategic and tactical initiatives, including problem ...

customer sites To ensure our hiring process is fair, efficient, and transparent, we want to inform all applicants that we may use Artificial Intelligence (AI) technologies, including third‐party tools to screen resumes and match candidates to job opportunities based on their skills and experience. All applications are also reviewed ...

skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands..Hiring and how we workWe use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company ...

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 ...

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 ...

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 ...

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 ...

standards for modelling, reporting, and insight generation, ensuring consistent, trusted, and reusable analytics across domains Manage and provide hands‐on leadership to the Data & AI team (Data Engineers, BI Developers, Forward Deployed Engineers), ensuring clear task allocation, delivery discipline, and high‐quality outputs Qualifications Position Requirements: Significant experience in data … experience in semantic modelling and analytics engineering practices for scalable reporting and agentic solutions. Experience designing or operating data/analytics platforms with embedded AI/ML or GenAI capabilities Experience managing analytics or data products, datasets, or reporting solutions Proven ability to work with business stakeholders and translate requirements ...

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 ...