About the position At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunityOur Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions. In this role, you will research, build, and implement scalable artificial intelligence systems that learn and make predictions tailored to business requirements across various environments, including cloud and on-premises. You will enhance data pipelines and storage, ensuring data is clean, accurate, and optimized for XOps processes. Additionally, you will monitor and evaluate learning processes to continuously improve high-performance models, collaborating with other data and analytics professionals to industrialize analysis into effective analytics solutions. Your key responsibilitiesAs a Manager in AI Native Engineering, you will play a pivotal role in delivering innovative solutions that drive business success. You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We'll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients. You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry. Responsibilities • Leading workstream delivery and ensuring the effective management of processes and projects. • Continuously improving processes by identifying innovative solutions through research and analysis. • Managing professional employees and supervising teams to deliver complex technical initiatives, with accountability for performance and results. • Engaging actively with clients, participating in daily working sessions, and leading workstreams from planning through execution to closure. • Identifying opportunities for additional services and managing engagement economics. Requirements • Extensive experience in telecommunications, media, or technology sectors, with a strong understanding of industry trends. • Experience with Telecom customer lifecycle – Marketing, acquisition, onboarding, billing, customer care • Experience with Telecom network management – install, maintenance and repairs, network and call data collection, network optimization • Understanding of customer segmentation, churn prediction, and recommendation systems tailored to media and telecommunications. • Understanding of revenue assurance – data, systems and processes • Knowledge of regulatory and compliance considerations specific to the TMT sector • Experience with OSS/BSS systems – implementation, enhancement, maintenance and support • Familiarity with telecommunications protocols (e.g., 5G, LTE, fiber) and their implications for data science. • Proven ability to design and implement machine learning solutions that enhance network performance and customer experience. • Experience analyzing large-scale datasets from telecommunications networks, including call detail records and performance metrics. • 6-10 years of relevant experience of full-time working experience in AI, Data Science, and/or Machine Learning. • 2-4 years of experience directly managing technical teams including engineers and architects. • Strong skills in Python. • Extensive experience in telecommunications sector, with a strong understanding of industry trends. • Proven ability to design and implement machine learning solutions that enhance network performance a