Data Scientist Specialist / Applied AI-ML

Accenture is a leading solutions and services company that helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed across the enterprise, bringing together the talent of our approximately 786,000 people, our proprietary assets and platforms, and deep ecosystem relationships. Our strategy is to be the reinvention partner of choice for our clients and to be the most client-focused, AI-enabled, great place to work in the world. Through our Reinvention Services we bring together our capabilities across strategy, consulting, technology, operations, Song and Industry X with our deep industry expertise to create and deliver solutions and services for our clients. Our purpose is to deliver on the promise of technology and human ingenuity, and we measure our success by the 360° value we create for all our stakeholders. Visit us at accenture.com .   Role summary Applies data science and AI/ML techniques to product and operational problems within Agora while working as a hands-on technical specialist. The role prototypes and productionizes data-driven capabilities, integrates them with enterprise applications and workflows, and supports reliable operation in a cloud environment.

Design, prototype, evaluate, and productionize applied AI/ML capabilities for relevant Agora use cases. Use Python and data-processing techniques to prepare, analyze, validate, and operationalize data-driven solutions. Integrate models, decision logic, or intelligent services with APIs, applications, workflows, and enterprise systems. Define testable acceptance criteria and validation approaches for AI/ML-enabled capabilities. Monitor solution behavior, investigate data or performance issues, and improve reliability and observability. Collaborate with product, engineering, architecture, operations, and quality teams on delivery and adoption. Contribute to reusable AI-assisted engineering, automation, diagnostics, and development practices. Core capabilities Strong Python, analytical, and technical problem-solving skills. Applied experience with machine learning, statistical methods, data preparation, model evaluation, or AI-enabled applications. Ability to integrate data/AI capabilities into enterprise applications, APIs, services, and cloud environments. Understanding of software engineering, testing, security, observability, and production support expectations. Ability to independently own complex technical work and communicate findings and tradeoffs clearly. #LI-LATAM Qualifications 2+ years of relevant experience in data science, applied AI/ML, analytics, machine-learning engineering, software engineering, or a closely related technical role. Demonstrated applied work can substitute for longer tenure. College degree, diploma, or equivalent post-secondary education in Computer Science, Data Science, Software Engineering, Software Development, Statistics, Mathematics, Information Technology, or a related quantitative/technical field. Hands-on capability with Python and practical experience preparing and analyzing data, developing or applying machine-learning/AI techniques, evaluating solution quality, and integrating data-driven capabilities into applications, APIs, workflows, or cloud environments. AI/ML, data, Microsoft Azure/cloud, analytics, or related technical certifications are beneficial but not required. What we offer: 👩‍⚕️ Health and Life Insurance​ 💻 Internet reimbursement​ 🗓 Accenture days! 3 additional vacation days​ 🎂 Birthday leave​ ➕ On site doctor​ 💯And more benefits About Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a