Lead Data Scientist - Data and Analytics (DNA)

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
• 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 Masters 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
• 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 youre looking for when applying for the role, and your potential value-add to our team.