01Overview
Working alongside Oliver Wyman consulting teams and partners, engaging directly with clients to understand their business challengesExploring large-scale data and designing, developing, and maintaining data/software pipelines, and ETL processes for internal and external stakeholdersExplaining, refining, and developing the necessary architecture to guide stakeholders through the journey of model buildingAdvocating application of best practices in data engineering, code hygiene, and code reviewsLeading the development of proprietary data engineering, assets, ML algorithms, and analytical tools on varied projectsCreating and maintaining documentation to support stakeholders and runbooks for operational excellenceWorking with partners and principals to shape proposals that showcase our data engineering and analytics capabilitiesTravelling to clients locations across the globe, when required, understanding their problems, and delivering appropriate solutions in collaboration with themKeeping up with emerging state-of-the-art data engineering techniques in your domainYour Attributes, Experience & Qualifications
Bachelors or master s degree in a computational or quantitative discipline from a top academic program (Computer Science, Informatics, Data Science, or related)Exposure to building cloud ready applicationsExposure to test-driven development and integrationPragmatic and methodical approach to solutions and delivery with a focus on impactIndependent worker with ability to manage workload and meet deadlines in a fast-paced environmentCollaborative team playerExcellent verbal and written communication skills and command of EnglishWillingness to travelRespect for confidentialityTechnical Background
Prior experience in designing and deploying large-scale technical solutionsFluency 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, GlueStrong SQL skills and experience with relational databases such as MySQL, PostgreSQL, or OracleExperience with big data tools like Hadoop, Spark, KafkaDemonstrated knowledge of data structures and algorithmsFamiliarity with version control systems like GitHub or BitbucketFamiliarity with modern storage and computational frameworksBasic understanding of agile methodologies such as CI/CD, Applicant Resiliency, and SecurityValued but not required:Compelling side projects or contributions to the Open-Source communityPrior experience with machine learning frameworks (e.g., Scikit-Learn, TensorFlow, Keras/Theano, Torch, Caffe, MxNet)Familiarity with containerization technologies, such as Docker and KubernetesExperience with UI development using frameworks such as Angular, VUE, or ReactExperience with NoSQL databases such as MongoDB or CassandraExperience presenting at data science conferences and connections within the data science communityInterest/background in Financial Services in particular, as well as other sectors where Oliver Wyman has a strategic presence .
