Lead Data Scientist

About the role

Oliver Wyman's Data and Analytics (DNA) practice seeks a Lead Data Scientist in Gurugram, India to partner with global clients on analytics-driven solutions. The role involves managing end-to-end analytics projects, designing models, and leading the development of proprietary statistical techniques and ML algorithms. Candidates should have a bachelor’s or master’s degree in a quantitative discipline, prior experience in data science, machine learning, and analytics, and proficiency in Python (mandatory) with SQL, R, SAS, and frameworks such as Scikit‑Learn, TensorFlow, Keras, Theano, Torch, Caffe, and MxNet. Strong communication, presentation, and problem‑solving skills are required, along with the ability to travel globally. The position offers a competitive total rewards package, including health and welfare benefits and employee assistance programs, and is a full‑time, on‑site role within Oliver Wyman’s management consulting organization.

What you’ll do

• Working alongside Oliver Wyman consulting teams and partners, engaging directly with global clients to understand their business challenges
• 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

What you’ll bring

• 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

Nice to have

• 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
• 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

Skills

Benefits

Competitive total rewards package including comprehensive health and welfare benefits and employee assistance programs

Education

Bachelor's or Master's degree in a quantitative discipline