Posted
4 months ago
Deadline
6th Nov, 2025
Location
Nairobi, Kenya
Job Type
full time
You will support the gathering of data for use in Data Science models, perform data pre-processing, and develop dashboards and presentations for business insights. You will also utilize advanced data analytics to answer critical business questions and build machine learning models.
Degree in Statistics, Machine Learning, Mathematics, Computer Science, Economics, or any other related quantitative field
Working experience in the finance industry via direct employment or consultancy
3-5 years’ experience in working with structured and unstructured data (e.g. Streams, images)
Understanding of data flows, data architecture, ETL and processing of structured and unstructured data
Experience with data mining to discover new patterns from large datasets
Experience with common data science toolkits
Experience with data visualisation tools, such as Power BI, Tableau, etc.
Proficiency in application and web development
Structured and Unstructured Query languages e.g. SQL, Power BI; Qlikview; Tableau; SSIS SSRS, R, Python, JSON , C#, Java, C++, HTML
Experience with the use of GIT
Proven development experience in software and software engineering
Understanding of financial services data processes, systems, and products
Experience in technical business intelligence
Knowledge of IT infrastructure and data principles
Project management experience
Exposure to governance and regulatory matters as it relates to data
Experience in building models (credit scoring, propensity models, churn, etc.)
Experience with probability and statistics, inclusive of machine learning, experimental design, and optimization
Experience working with Hadoop
Outstanding skills in the use of Ms Word, Ms Excel, PowerPoint, and Outlook
Exceptionally good skills in SQL server reporting services, analysis services, PowerBI, integration services, Salesforce, or any other data visualization tools
Understanding of database and computer software
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