Data Scientist

• Collaborate with CoE teammates to design and execute time-boxed experiments on high-priority business problems, turning data and AI into business results.**· Contribute directly to the delivery of key data science solutions by working on projects that are aligned with the company’s most urgent and impactful business objectives.**· Maintain a flexible approach—readily adapting to evolving business priorities and shifting focus to address immediate, high-value deliverables when needed.**· Help manage and prioritize the team’s project backlog, balancing innovative opportunities with business needs and timelines.**· Analyze results and develop insights that clearly demonstrate ROI and real-world impact for business lines.**· Contribute to the standardization and continuous improvement of data science methods, tools, and delivery processes.**· Work closely with data scientists, engineers, IT, and business stakeholders—locally and globally—to share knowledge and leverage best practices.**· Present findings and recommendations to colleagues and business leaders, ensuring the value and excitement of AI innovations are clearly communicated.**· Stay curious and proactive about emerging AI and MLOps trends, bringing fresh ideas back to the team.**· Participate in governance and delivery processes to help ensure projects are executed efficiently and deliver maximum value.

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