Data Science Intern at Ongoza

ROLES & RESPONSIBILITIES

As a Data Science Intern, you will collect and analyze data, generate and share insights, design and develop systems and dashboards, and/or support strategy development. Your work will help build the systems, processes, and culture needed to drive data-driven decision-making across Ongoza.

Your specific roles and responsibilities may include but are not limited to:

• Design data collection strategies and build tools to collect data on our services and our entrepreneurs
• Conduct interviews and focus groups with stakeholders
• Support other departments and Ongoza as a whole in identifying our Key Performance Indicators (KPI’s) and designing simple, intuitive dashboards
• Explore technology options and implement solutions that enable us to store and access data, both for analysis and to support business processes
• Process, clean, and verify the integrity of data used for analysis
• Conduct data analysis using tools including Excel, Python and R
• Create data visualizations that can be used to communicate insights to stakeholders
• Support the Data & Learning Manager with other strategic and operational projects
• Occasional brief travel to Nakuru or other counties to support data and learning efforts
• You may be asked to undertake such other or amended duties appropriate to the job as may be allocated from time to time.

SKILLS & EXPERIENCE NEEDED

Required skills/experience/education:

• University degree in a quantitative discipline (such as economics, computer science, engineering, or mathematics)
• Knowledge of probability & statistics
• Experience using Microsoft Excel
• Creative problem-solving skills
• Excellent oral and written communication skills in English
• Ability to thrive within a fast-paced, rapidly growing and changing organization 
• Growth mindset 
• Willingness to travel occasionally 
• Authorization to work in Kenya 

Preferred skills/experience/education:

• Prior work or internship experience as a data analyst 
• Solid grasp of relational databases and SQL queries 
• Computer programming experience (ideally, in R or Python) 
• Understanding of coding best practices
• Experience working with data visualization tools