Apply Now: Associate Director

Job Description 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 - Bachelors 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 (Data Science) - 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 Technical Background (Data Engineering) - Prior experience in designing and deploying large-scale technical solutions - Fluency in modern programming languages (Python is mandatory; R, SAS desired) - Experience with AWS/Azure/Google Cloud, including familiarity with services such as S3, EC2, Lambda, Glue - Strong SQL skills and experience with relational databases such as MySQL, PostgreSQL, or Oracle - Experience with big data tools like Hadoop, Spark, Kafka - Demonstrated knowledge of data structures and algorithms - Familiarity with version control systems like GitHub or Bitbucket - Familiarity with modern storage and computational frameworks - Basic understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security Valued but not required: - Compelling side projects or contributions to the Open-Source community - Prior experience with machine learning frameworks (e.g., Scikit-Learn, TensorFlow, Keras/Theano, Torch, Caffe, MxNet) - Familiarity with containerization technologies, such as Docker and Kubernetes - Experience with UI development using frameworks such as Angular, VUE, or React - Experience with NoSQL databases such as MongoDB or Cassandra - Experience presenting at data science conferences and connections within the data science community