Permanent Data Science Manager | Kuda Technologies
Job Description
Kuda Technologies Vacancies – Data Science Manager
Location: Cape Town, Western Cape
Company: Kuda Technologies
Job Type: Permanent
Job Sector: Information Technology
Data Science Manager – Kuda Technologies
About Kuda
Kuda is a money app for Africans on a mission to make financial services accessible, affordable, and rewarding for every African on the planet. We’re a diverse and passionate team united by a shared vision: building a money app that Africans love. Our name ‘Kuda,’ meaning ‘love’ in Shona, reflects this commitment.
From money transfers to smart budgeting and instant credit access, we provide a superior alternative to traditional finance through innovative digital solutions. Backed by $90M+ in funding from leading global investors, we’re scaling our services from our hubs in Nigeria, South Africa, and the UK.
Role Overview
As Kuda’s Data Science Manager, you’ll lead a high-performing team of data scientists to build and deploy machine learning models that drive impact across credit scoring, fraud detection, and collections. Your work will directly power real-time decisioning systems embedded in our products, enabling Kuda to serve customers faster and smarter.
You’ll collaborate across product, engineering, and business teams to align data-driven solutions with strategic goals. A focus on continuous learning will keep your team at the forefront of industry advancements, ensuring our models deliver scalable, compliant, and cutting-edge results.
Key Responsibilities
- Team Leadership: Mentor and grow a team of data scientists, fostering innovation and collaboration.
- Model Development: Design, build, and deploy ML models for credit risk, fraud prevention, and collections.
- Cross-functional Collaboration: Partner with product, engineering, and compliance teams to integrate models into live systems.
- Data Insights: Analyze complex datasets to uncover trends and drive actionable business strategies.
- Performance Monitoring: Ensure deployed models meet accuracy, regulatory, and business performance standards.
- Stakeholder Communication: Present insights and recommendations to senior leadership with clarity and impact.
- Industry Innovation: Stay ahead of emerging technologies and methodologies in data science and fintech.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or related field.
- 6+ years in data science, with 2+ years leading teams in a managerial role.
- Technical Expertise: Proficiency in Python, SQL, and ML libraries (scikit-learn, TensorFlow, PyTorch). Cloud platforms (AWS, GCP) experience preferred.
- Domain Knowledge: Experience in credit risk modeling, fraud detection, or financial services is a strong plus.
- Leadership: Ability to manage projects, inspire teams, and communicate with technical and non-technical stakeholders.
- Regulatory Awareness: Familiarity with financial regulations, especially in the Nigerian market.
Benefits
Joining Kuda means being part of a mission-driven team with perks like:
- A vibrant, multinational work environment
- Pension plan
- Career development and growth opportunities
- Competitive annual leave + bank holidays
- Paid time off (parental, birthday, study leave, etc.)
- Group life and medical insurance
- Well-being packages (wedding, compassionate leave)
- Perkbox and wellness app access
- Award-winning L&D programs
- Hybrid work policy for work-life balance
Kuda is an equal-opportunity employer. We celebrate diversity and hire based on merit, without bias toward race, religion, gender, or disability. Need accommodations? Let us know.
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How to Apply
To apply for this position, click the “Apply Now” button or follow the specific instructions provided in the job description. Ensure that your CV and supporting documents are up to date and relevant to the position.
Please note: This job posting may be closed at any time by the employer, either due to internal recruitment policies, legal requirements, or once a suitable candidate has been found. We encourage you to apply as early as possible.
Only shortlisted candidates will be contacted.
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