Data Scientist Fellowship: Impact Analytics for Justice

Love Justice International; South Africa; Hybrid; ZAR 900,000 - 1,200,000; Full time

Job summary

Love Justice International in South Africa is seeking a Data Scientist to advance anti-trafficking efforts. You will report to the Lead Data Scientist and may consider remote work on a case-by-case basis. The role is based in South Africa and focuses on data-driven program impact.

Responsibilities include applying analytics to inform operations, designing predictive hiring assessments, and improving data systems while measuring wellbeing and outcomes for vulnerable populations.

Qualifications

• Master’s degree or higher in data science, statistics in the social sciences, or related field.
• Proficiency in Python or R.
• Excellent oral and written communication.
• Ability to multi-task and manage multiple projects simultaneously.

Responsibilities

• Use data, statistical analysis, and modeling to generate insights that advance anti-trafficking efforts and inform programs.
• Apply analytical findings to support real-world action, including informing operations and investigations, improving program design, and strengthening accountability.
• Develop and maintain objective measures of impact and benchmark outcomes against relevant populations.
• Design, build, and improve predictive assessments to support effective hiring across roles.
• Establish reproducible analytical workflows and contribute to data systems and data quality improvements.
• Build and maintain engagement with financial supporters through updates.

Skills

Excellent communication

Analytical skills

Problem solving

Multi-tasking

Data storytelling

Education

Master’s degree or higher in data science or related field

Tools

Python

R

Job description

Love Justice International in South Africa is seeking a Data Scientist to advance anti-trafficking efforts. You will report to the Lead Data Scientist and may consider remote work on a case-by-case basis. The role is based in South Africa and focuses on data-driven program impact.

Responsibilities include applying analytics to inform operations, designing predictive hiring assessments, and improving data systems while measuring wellbeing and outcomes for vulnerable populations.