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Tier-1 brand plus metro location, popular data scientist title, and broad ML skill requirements increase competition.
Technical ML skills are transferable but consulting experience and domain knowledge favor industry-specific fit.
Mandatory Python and ML frameworks plus senior title and top-degree preference make screening rigorous.
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Lead and manage analytics projects by designing and delivering data science solutions that address complex business challenges across industries.
Collaborate directly with global clients and consulting teams to interpret large-scale data and craft scalable, impactful models and insights.
Develop proprietary statistical techniques and machine learning algorithms while advocating for best practices in modeling and code hygiene.
Bachelor's or Master’s degree in a quantitative discipline (Data Science, Mathematics, Statistics, Computer Science, Informatics, Engineering).
Prior experience in data science, machine learning, and analytics required.
Mandatory proficiency in Python; experience with SQL, R, SAS and machine learning frameworks like Scikit-Learn, TensorFlow, Keras is desired.
Willingness to travel internationally as required by client engagements.
Experienced in managing end-to-end analytics projects with a pragmatic and methodical approach focused on business impact.
Skilled in communicating complex data science insights effectively to diverse stakeholders globally.
Familiar with cloud computing, big data frameworks, and has experience in or strong interest in Financial Services or other key Oliver Wyman sectors.