Responsibilities: You'll support the business through insightful analysis of their risk practices all data dimensions (Data Privacy, Data Governance, Data UseCase, Data Quality, Data Protection, Data Retention and Destruction, Data Storage, Data Architecture, Data Analytics, Data Engineering, Data Insights, Individual Rights and Model Governance). more »
to realize benefits with DX for the respective business/service. Strongly collaborate with DX team members and support with DX usecase roll outs for different businesses in various countries Conduct digital due diligence on a target company prior to investment decisions Understand adequate depth and more »
SDLC, with the north star of a fully automated, no manual intervention solution Engage and collaborate with engineers across the business to understand use-cases, and to define best-practices for use of the infrastructure platform Adopt new, cutting-edge technologies and techniques, where appropriate Implement more »
based solutions to some of cross-functions and operations hardest problems. Build robust data science capabilities which can be scaled across multiple business use cases. Collaborate with software engineering teams to design, deploy, and maintain production-grade ML models that can be integrated with strategic systems. Research and … develop high quality reusable code that can be leveraged from a larger group of data scientists to solve a broad spectrum of business use cases. Ability to work both individually and in collaboration with others, and to mentor more junior team members. Ability to work in agile cross more »
