Family Bank (formely Family Finance Building Society) was registered as a Building Society in October 1984 in Kenya, under the Building Societies Act and commenced operations in the early 1985. Family Bank converted into a fully fledged bank in May 2007 and the main driver for our conversion was the need to offer a wider range of products and services to our...

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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.
• Any other official duty that may be allocated from time to time.

The Person:

The ideal candidate must possess the following:

Qualifications/Experience:

• 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

Check how your CV aligns with this job

• 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 duty that may be allocated from time to time.

• Advanced working SQL knowledge
• Experience working with relational databases
• Query authoring (SQL)
• Familiarity with a variety of databases
• Experience with Python or R
• Experience with object-oriented/object function scripting languages

• Graduate degree in Computer Science, Mathematics, Physics, Statistics, Engineering, Informatics, Information Systems or another quantitative field.