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An established industry player is seeking a Lead Data Scientist to join their innovative team in São Paulo. In this pivotal role, you will manage technical projects that involve data engineering, model selection, and infrastructure deployment. You'll collaborate with diverse teams to craft tailored solutions for clients across various industries, including financial services and health. Emphasizing best practices in modeling and coding, you will lead the development of proprietary algorithms and tools. This is a fantastic opportunity to leverage your expertise and drive impactful results in a dynamic environment that values diversity and flexibility.
Join to apply for the Oliver Wyman - Lead Data Scientist - São Paulo role at Oliver Wyman.
Our clients drive our projects – and no two OW Digital projects are the same. You’ll work with diverse teams to deliver unique products across industries. As a Lead Data Scientist, you will manage technical projects involving data engineering, model selection and design, and infrastructure deployment in internal and client environments. Develop deep expertise in a specific industry (financial services, health, life sciences, etc.), while being comfortable developing methods based on first principles, curiosity, and your software engineering foundations. Collaborate with Oliver Wyman partners, engage with clients to understand their challenges, and craft solutions with OW Digital specialists and consultants.
Your responsibilities include:
Oliver Wyman, part of Marsh McLennan (NYSE: MMC), is a management consulting firm with deep industry knowledge and expertise to help clients optimize and improve their businesses. Marsh McLennan is a global leader in risk, strategy, and people, advising clients in 130 countries with over 90,000 colleagues and $24 billion in revenue. For more information, visit oliverwyman.com or follow us on LinkedIn and X.
We are committed to diversity, inclusion, and flexibility. We aim to attract and retain top talent, embracing diversity across age, background, disability, ethnicity, family duties, gender, nationality, and other protected characteristics. We support hybrid work, allowing remote work with in-office collaboration at least three days per week, including designated "anchor days" for full team in-person meetings.
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