Data Scientist / Senior Data Scientist, Data and Analytics, DNA

Job Description

Role Overview:At Oliver Wyman DNA, as a Data Scientist/Senior Data Scientist in the Analytics Consulting practice, you will partner with clients to tackle strategic business challenges using analytics, technology, and industry expertise. Your main objective will be to drive digital transformation, develop customer-focused solutions, and optimize operations for the future. The company values personal and professional growth, and you will be part of an entrepreneurial team committed to delivering impact on a global scale.Key Responsibilities:- Manage and deliver analytics projects, collaborating with diverse teams to design innovative solutions across various industries- Engage directly with global clients to understand their business challenges and craft data-driven models to address core problems- Shape proposals highlighting data science and analytics capabilities in partnership with teams and principals- Refine model insights and architecture to guide stakeholders through the model building process- Lead the development of proprietary statistical techniques, machine learning algorithms, and analytical tools on different projects- Travel to clients locations worldwide, analyze their issues, and deliver tailored solutions in collaboration with them- Stay updated on the latest modelling and data science techniques in your domain- Advocate for best practices in modelling and code hygieneQualifications Required:- Bachelors or Masters degree in a quantitative discipline such as Data Science, Mathematics, Statistics, Computer Science, Informatics, or Engineering from a reputed academic program- Previous experience in data science, machine learning, and analytics- Strong passion for problem-solving through big data and analytics- Methodical approach to solutions with a focus on impact- Ability to work independently, manage workload efficiently, and meet deadlines in a fast-paced environment- Excellent presentation skills to convey findings, insights, and implications effectively- Proficiency in modern programming languages like Python (mandatory), and familiarity with SQL, R, and SAS- Solid understanding of mathematical and statistical principles of data science- Experience in designing and deploying large-scale technical solutions leveraging analytics- Familiarity with cloud storage, big data handling, and computational frameworksAdditional Company Details:Oliver Wyman, a business of Marsh McLennan, is a management consulting firm that combines deep industry knowledge with specialized expertise to help clients optimize their businesses. With a commitment to diversity and equal opportunities, the company offers a competitive total rewards package, including health benefits and employee assistance programs. Marsh McLennan is a global leader advising clients in 130 countries across various businesses. The company is dedicated to fostering a diverse and inclusive work environment and embracing individuals from all backgrounds. Role Overview:At Oliver Wyman DNA, as a Data Scientist/Senior Data Scientist in the Analytics Consulting practice, you will partner with clients to tackle strategic business challenges using analytics, technology, and industry expertise. Your main objective will be to drive digital transformation, develop customer-focused solutions, and optimize operations for the future. The company values personal and professional growth, and you will be part of an entrepreneurial team committed to delivering impact on a global scale.Key Responsibilities:- Manage and deliver analytics projects, collaborating with diverse teams to design innovative solutions across various industries- Engage directly with global clients to understand their business challenges and craft data-driven models to address core problems- Shape proposals highlighting data science and analytics capabilities in partnership with teams and principals- Refine model insights and architecture to guide stakeholders through the model building process- Lead the development of proprietary statistical techniques, machine learning algorithms, and analytical tools on different projects- Travel to clients locations worldwide, analyze their issues, and deliver tailored solutions in collaboration with them- Stay updated on the latest modelling and data science techniques in your domain- Advocate for best practices in modelling and code hygieneQualifications Required:- Bachelors or Masters degree in a quantitative discipline such as Data Science, Mathematics, Statistics, Computer Science, Informatics, or Engineering from a reputed academic program- Previous experience in data science, machine learning, and analytics- Strong passion for problem-solving through big data and analytics- Methodical approach to solutions with a focus on impact- Ability to work independently, manage workload efficiently, and meet deadlines in a fast-paced environment- Excellent presentation skills to convey findings, insights

Keyskills :
Data ScienceMachine LearningAnalyticsPythonSQLSASMathematicsStatisticsComputer ScienceEngineeringTensorFlowScikitLearnKerasTheanoTorchCaffeMxNet