AI/ML Science Manager job opportunity at Accenture Plc.

Home Jobs In Greece Tag: AI & Data AI/ML Science Manager position at Accenture Plc


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Accenture Plc AI/ML Science Manager
Experience: 10 years
Pattern: full-time
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AI & Data

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degreeBachelor's (B.Sc.)
loacation Athens, Greece
loacation Athens....Greece

Are you ready to be a part of the AI digital reinvention and revolutionize your career? In today’s world, business leaders want to rapidly and confidently reinvent to increase resilience, mitigate risk, and grow with sustainable value. That’s where Accenture Strategy & Consulting - Data & AI comes in. We bring together strategic visionaries, industry experts, practitioners from every enterprise function, business intelligence professionals, change specialists, data and AI authorities, and many other specialized skills to co-create each client’s unique path to reinvention. You will be a trusted partner to business leaders, working with a diverse team of experts to deliver successful tech-enabled transformation and new kinds of value for your clients. Strategy and Consulting is one of four services –the others are Accenture Song, Technology and Operations WORK YOU’LL DO As part of Data & AI practice, you will formulate real-world problems into practical, efficient, and scalable AI and Machine Learning products. There will never be a typical day and you will continuously learn and grow. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a global team of data scientists, data engineers, and experts in AI & ML, who are highly collaborative taking on today’s biggest, most complex business challenges across a range of industries. Responsibilities: Lead a technical team of 5-8 people and provide guidance to explore and implement new data methodologies, model building techniques, cutting-edge algorithms, and operationalization frameworks to solve real-world problems Establish deep understanding and ability to remain at the forefront of AI and foundation models (with a focus on driving innovation by applying these techniques to new business problems, use cases, and scenarios) Justify the value of innovative AI or traditional Machine Learning approaches (or a combination of both) in the business problems, constructing methodologies that clearly demonstrate their value Work collaboratively with teams (onshore and/or offshore) from both the business and technical side, including business owners, engineers, architects, and UI designers, to achieve end-to-end project development goals

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