Data Scientist / Senior Data Scientist

About the job

Role Overview: At Oliver Wyman DNA, as a Data Scientist / Senior Data Scientist, you will partner with clients to tackle challenging strategic business issues using analytics, technology, and industry expertise. Your role involves driving digital transformation, creating customer-centric solutions, and optimizing operations for future growth. The goal is to achieve long-term results in collaboration with clients and stakeholders. The team values and provides opportunities for both personal and professional growth, emphasizing entrepreneurial spirit and global impact. Key Responsibilities: - Work alongside Oliver Wyman consulting teams and partners to engage with global clients, understand their business challenges, and propose data-driven solutions. - Analyze large-scale data sets and develop models to address core business problems. - Collaborate with partners and principals to create proposals showcasing data science and analytics capabilities. - Refine and explain model insights and architecture to guide stakeholders through the model-building process. - Advocate best practices in modeling and code hygiene. - Lead the development of proprietary statistical techniques, machine learning algorithms, assets, and analytical tools for various projects. - Travel to clients' locations worldwide as necessary to understand their issues and deliver suitable solutions in collaboration with them. - Stay updated on emerging state-of-the-art modeling and data science techniques in your field. Qualifications Required: - Bachelor's or Masters degree in a quantitative discipline from a top academic program (e.g., Data Science, Mathematics, Statistics, Computer Science, Informatics, Engineering). - Prior experience in data science, machine learning, and analytics. - Strong passion for problem-solving through big data and analytics. - Methodical approach to solutions with a focus on impact. - Ability to work independently, manage workload, and meet deadlines in a fast-paced environment. - Excellent presentation skills to effectively convey findings, results, and strategic insights. - Proficiency in modern programming languages (especially Python), machine learning frameworks, and statistical principles. - Familiarity with cloud storage, big data handling, and computational frameworks. - Desired: Experience in the Financial Services sector and contributions to the Open-Source community.