Lead Data Scientist - Vice President

The VP Data Scientist  will help build robust and scalable solutions for various banking domains, and also enable the services to be deployed and integrated into existing business workflow. This is an exciting opportunity to work on data driven analytical solutions and have a profound influence on the business processes of a leading global bank.  

Key Requirements of the Role:

• Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis, Operations Research).
• Strong hands-on experience of advanced data mining techniques, curating, processing and transforming data to produce sound datasets.
• Strong hands-on experience of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop.
• Experience in analyzing complex problems and translating it into an analytical approach.
• Experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly Detection, Pattern Detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, LLMs
• Experience with analytical programming languages, tools and libraries (Python ecosystem preferred, but R will be considered).
• Experience in SQL and relational databases, Big Data technologies e.g. Spark/Hadoop and Cloud technologies.
• Good understanding of programming best practices and building for re-use.
• Strong leadership, stakeholder management, communication, partnership and teamwork skills.
• Ability to work in an extremely fast paced environment, meet deadlines, and perform at high standards with limited supervision.