Job Purpose:

• The Data Scientist will play a critical role in driving data-driven decision-making across the Bank. The role holder will analyze large and complex datasets to uncover actionable insights, build advanced analytical and machine learning models, and support optimization of business processes aimed at maximizing revenue growth, improving operational efficiency, and enhancing customer satisfaction.

Key Responsibilities

• Enterprise level data hub: Collaborate with Engineering to develop and enrich enterprise level analytical platform.
• Analytical Models: Design and launch innovative and complex analytical models to drive optimization and improvement of product development, Marketing techniques, risk management and business strategies.
• Machine learning algorithm development: Understand of machine learning algorithms and their applications in areas banking.

Key Competencies:

• Experience in Data science projects life cycle from use case framing, data exploration, model building, deployment etc.
• Demonstrate knowledge and interest in emerging technologies within the big data space.
• Hands-on experience with statistical modelling/Machine learning techniques is a must.
• Well versed in programming languages like R/Python and familiar with deep learning frameworks.
• Ability to work with developers and other functions for rapid data product development and automation within bank projects.
• Experience supporting and working with cross-functional teams in a dynamic environment.

Qualifications:

• Graduate degree in Computer Science, Mathematics, Physics, Statistics, Engineering, Informatics, Information Systems or another quantitative.
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
• Experience with Python or R.
• Experience with object-oriented/object function scripting languages.
• 2-5 years’ experience in technology/data analytics