Lead Data Scientist - Data and Analytics (DNA)

About Oliver Wyman DNA

Oliver Wyman's Data and Analytics (DNA) practice in Gurugram partners with clients worldwide to tackle complex strategic challenges using analytics, technology, and industry knowledge. The team focuses on driving digital transformation, delivering customer-centric solutions, and enhancing operations to achieve sustainable business outcomes. They foster a dynamic, inclusive work environment offering significant opportunities for personal and professional advancement.

Mission and Purpose

• Harness India's top talent to provide superior analytics-driven management consulting services globally.
• Deliver impactful insights through innovative analytical methods to support a diverse global clientele.
• Create enduring client relationships rooted in trust and results-driven collaboration.
• Develop an adaptive organization that retains outstanding analytics professionals and encourages continuous learning and innovation.

Role Overview

The Lead Data Scientist will manage and execute analytics projects, designing data-driven models and solutions that produce scalable, high-quality results. The role involves collaboration with Oliver Wyman consulting teams and direct interaction with international clients, supporting various industries.

Key Responsibilities

• Collaborate with consulting teams and partners to comprehend client business issues.
• Analyze extensive datasets and develop models addressing key business questions.
• Partner with leadership to craft proposals demonstrating the team's analytic capabilities.
• Communicate and refine model insights and architecture for stakeholder understanding.
• Promote best practices in modeling and software code standards.
• Lead the creation of proprietary statistical methods, machine learning algorithms, and analytical tools.
• Travel globally as needed to engage with clients and deliver tailored solutions.
• Stay current with emerging data science and modeling techniques relevant to the domain.

Qualifications and Experience

• Bachelor's or Master's degree in quantitative fields such as Data Science, Mathematics, Statistics, Computer Science, Informatics, or Engineering from reputable institutions.
• Proven experience in machine learning, data science, and analytics.
• Strong problem-solving abilities applying big data and analytics solutions.
• Methodical and impact-focused approach to delivering results.
• Capable of independently managing workload and meeting deadlines in fast-paced settings.
• Effective presentation and communication skills, with full proficiency in English.
• Willingness to travel as necessary.
• Team-oriented with a commitment to confidentiality.

Technical Skills

• Strong proficiency in Python (mandatory) and familiarity with SQL, R, and SAS.
• Experience with machine learning libraries such as Scikit-Learn, TensorFlow, Keras, Theano, Torch, Caffe, or MxNet.
• Practical knowledge of deploying large-scale analytic solutions.
• Solid grounding in mathematical and statistical principles underlying data science.
• Knowledge of cloud storage solutions, big data management, and computational frameworks.
• Bonus: Participation in open-source projects or community contributions, presentations at data science conferences, and domain expertise in Financial Services or other key sectors.

Additional Information

• The hiring process includes assessments of technical skills, case studies, and team fit interviews.
• Applicants should submit a brief introduction outlining their motivations and potential contributions.
• This position offers competitive base compensation with potential performance-based incentives.
• Comprehensive health and welfare benefits and employee assistance programs are provided.
• Oliver Wyman prioritizes diversity, equity, and inclusion, encouraging candidates from all backgrounds to apply.