Data Scientist Relationship Officer- Bancassurance

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.

go to method of application »

ALL applicants MUST apply online to the email; recruitment@familybank.co.ke; closing date is 14th March 2023. Canvassing will automatically disqualify the candidate. Only shortlisted candidates will be contacted.

Apply via :

recruitment@familybank.co.ke