Practice: Data and Analytics (DNA) - Analytics Consulting
Role : Lead Data Scientist Location: Gurugram, India
At Oliver Wyman DNA, we partner with clients to solve tough strategic business challenges with the power of analytics, technology, and industry expertise. We drive digital transformation, create customer-focused solutions, and optimize operations for the future. Our goal is to achieve lasting results in collaboration with our clients and stakeholders. We value and offer opportunities for personal and professional growth. Join our entrepreneurial team focused on delivering impact globally.
Our Mission and Purpose
Mission: Leverage India’s high-quality talent to provide exceptional analytics-driven management consulting services that empower clients globally to achieve their business goals and drive sustainable growth, by working alongside Oliver Wyman consulting teams.
Purpose: Our purpose is to bring together a diverse team of highest-quality talent, equipped with innovative analytical tools and techniques to deliver insights that drive meaningful impact for our global client base. We strive to build long-lasting partnerships with clients based on trust, mutual respect, and a commitment to deliver results.
We aim to build a dynamic and inclusive organization that attracts and retains the top analytics talent in India and provides opportunities for professional growth and development. Our goal is to provide a sustainable work environment while fostering a culture of innovation and continuous learning for our team members.
The Role and Responsibilities We have open positions ranging from Data Scientist to Director, providing talented and motivated professionals with excellent career and growth opportunities. We seek individuals with relevant prior experience in quantitatively intense areas to join our team. You’ll be working with varied and diverse teams to deliver unique and unprecedented solutions across all industries.
In the data scientist track, you will be primarily responsible for managing and delivering analytics projects and helping teams design analytics solutions and models that consistently drive scalable high-quality solutions.
Your responsibilities will include
- Working alongside Oliver Wyman consulting teams and partners, engaging directly with global clients to understand their business challenges
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- Exploring large-scale data and crafting models to answer core business problems
- Working with partners and principals to shape proposals that showcase our data science and analytics capabilities
- Explaining, refining, and crafting model insights and architecture to guide stakeholders through the journey of model building
- Advocating best practices in modelling and code hygiene
- Leading the development of proprietary statistical techniques, ML algorithms, assets, and analytical tools on varied projects
- Travelling to clients’ locations across the globe, when required, understanding their problems, and delivering appropriate solutions in collaboration with them
- Keeping up with emerging state-of-the-art modelling and data science techniques in your domain
Your Attributes, Experience & Qualifications
- Bachelor's or Master’s degree in a quantitative discipline from a top academic program (Data Science, Mathematics, Statistics, Computer Science, Informatics, and Engineering)
- Prior experience in data science, machine learning, and analytics
- Passion for problem-solving through big-data and analytics
- Pragmatic and methodical approach to solutions and delivery with a focus on impact
- Independent worker with the ability to manage workload and meet deadlines in a fast-paced environment
- Impactful presentation skills that succinctly and efficiently convey findings, results, strategic insights, and implications
- Excellent verbal and written communication skills and complete command of English
- Willingness to travel
- Collaborative team player
- Respect for confidentiality
Technical Background
- Proficiency in modern programming languages (Python is mandatory; SQL, R, SAS desired) and machine learning frameworks (e.g., Scikit-Learn, TensorFlow, Keras/Theano, Torch, Caffe, MxNet)
- Prior experience in designing and deploying large-scale technical solutions leveraging analytics
- Solid foundational knowledge of the mathematical and statistical principles of data science
- Familiarity with cloud storage, handling big data, and computational frameworks
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Valued but not required:
- Compelling side projects or contributions to the Open-Source community
- Experience presenting at data science conferences and connections within the data science community
- Interest/background in Financial Services in particular, as well as other sectors where Oliver Wyman has a strategic presence
Interview Process The application process will include testing technical proficiency, case study, and team-fit interviews. Please include a brief note introducing yourself, what you’re looking for when applying for the role, and your potential value-add to our team.
Roles and levels
In addition to the base salary, this position may be eligible for performance-based incentives.
We offer a competitive total rewards package that includes comprehensive health and welfare benefits as well as employee assistance programs.
Oliver Wyman is an equal-opportunity employer. Our commitment to diversity is genuine, deep, and growing. We’re not perfect, but we’re working hard right now to make our teams balanced, representative, and diverse. Marsh McLennan and its Affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers
Oliver Wyman is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow us on LinkedIn and X.
Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.
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