Data Scientist at Family Bank Ltd

Job Purpose:

The role holder will be responsible for analyzing large amounts of raw information to find patterns and to suggest changes in the existing process to maximize revenue/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.
• Any other official duties that may be allocated from time to time by management.

The Person:

The ideal candidate must possess the following:

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

Key Competencies and Attributes

• 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 the bank projects.
• Experience supporting and working with cross-functional teams in a dynamic environment.