The Corporate Technology Data Science and AI organization solves challenging business problems using data science and machine learning techniques across Corporate Technology and the supported Corporate Functions
Requirements
- Extensive experience with data analysis and transformation (especially in Python) and analytics
- Experience with continuous integration models and unit test development
- Familiarity with the financial services industry
- Experience with A/B testing and data/metric-driven product development, cloud-native deployment in a large-scale distributed environment and ability to develop and debug production-quality code
- Some industry experience in implementing machine learning as well as deep learning toolkits (e.g. TensorFlow, PyTorch, Scikit-Learn)
Responsibilities
- Developing new insights by understanding the business and data to support senior management in making key decisions
- Become an expert in the data used by the team, including the ability to efficiently and creatively transform that data into insights
- Identify strategic machine learning use cases for the team, and apply to tasks such as data analytics, summarization and question answering, time-series prediction, fraud detection, customer life cycle management, or recommendation systems
- Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production
Other
- Master’s degree in a data science-related discipline, plus at least three years of industry experience (or: PhD in a data science-related discipline, plus at least two years of industry experience)
- Strong written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences
- Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments
- Curious, hardworking and detail-oriented, and motivated by complex analytical problems
