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Learning Development jobs in South Africa

Data Science Manager

Kuda Technologies Ltd

Johannesburg
Hybrid
ZAR 800,000 - 1,100,000
30+ days ago
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Data Science Manager

Kuda Technologies Ltd

Cape Town
Hybrid
ZAR 600,000 - 900,000
30+ days ago

Sales Specialist - SASE

Palo Alto Networks

Johannesburg
On-site
ZAR 70,000 - 100,000
30+ days ago

Business Analyst - Finance

Boardroom Appointments

Pretoria
On-site
ZAR 300,000 - 400,000
30+ days ago

Talent and Enablement Manager | Managed People Solutions | Gauteng

Managed People Solutions

Gauteng
On-site
ZAR 900,000 - 1,100,000
30+ days ago
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Business Analyst - Finance

Boardroom Appointments

South Africa
On-site
ZAR 500,000 - 700,000
30+ days ago

Manager : Broker Services and Franchise

IT Ridge Technologies

Johannesburg
On-site
ZAR 500,000 - 700,000
30+ days ago

Change and Communications Specialist

Whizants (Pty) Ltd.

South Africa
Hybrid
ZAR 500,000 - 800,000
30+ days ago
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General Manager: Human Resources – IT, Engineering & Digital

Boardroom Appointments

Cape Town
On-site
ZAR 1,800,000 - 2,200,000
30+ days ago

Software Engineering Lead

LexisNexis

Gqeberha
Hybrid
ZAR 80,000 - 100,000
30+ days ago

Software Engineering Lead

RELX

Gqeberha
On-site
ZAR 800,000 - 1,100,000
30+ days ago

Senior Human Resource Business Partner

Ithemba Recruitment- Sourcing Top Talent

Johannesburg
On-site
ZAR 500,000 - 750,000
30+ days ago

Human Resource Business Partner

Ithemba Recruitment- Sourcing Top Talent

Cape Town
On-site
ZAR 400,000 - 600,000
30+ days ago

Senior Human Resource Business Partner

Ithemba Recruitment- Sourcing Top Talent

Durban
On-site
ZAR 600,000 - 800,000
30+ days ago

Vice President, People

Boldr

Cape Town
On-site
ZAR 800,000 - 1,200,000
30+ days ago

Trainee Accountant(CA) SA (Cape Town,2029

KPMG South Africa

Cape Town
On-site
ZAR 50,000 - 200,000
30+ days ago

Lodge Manager

MORE Collection

Limpopo
On-site
ZAR 200,000 - 300,000
30+ days ago

Trainee Accountant (CA) SA (Cape Town, 2023)

KPMG South Africa

Cape Town
On-site
ZAR 50,000 - 200,000
30+ days ago

Manager

IQ-EQ

Parow
On-site
ZAR 300,000 - 400,000
30+ days ago

Marketing Manager

Accor

Cape Town
On-site
ZAR 200,000 - 300,000
30+ days ago

Brand Representative- KwaZulu Natal

Publicis Groupe Holdings B.V

Johannesburg
On-site
ZAR 150,000 - 200,000
30+ days ago

Brand Representative- Mpumalanga

Publicis Groupe Holdings B.V

Johannesburg
On-site
ZAR 200,000 - 300,000
30+ days ago

Brand Representative- Free State

Publicis Groupe Holdings B.V

Johannesburg
On-site
ZAR 200,000 - 300,000
30+ days ago

Brand Representative- Pretoria

Publicis Groupe Holdings B.V

Johannesburg
On-site
ZAR 200,000 - 300,000
30+ days ago

Brand Representative- Eastern Cape

Publicis Groupe Holdings B.V

Johannesburg
On-site
ZAR 200,000 - 300,000
30+ days ago

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Similar jobs:

Community Development jobsLearning And Development jobs
Data Science Manager
Kuda Technologies Ltd
Johannesburg
Hybrid
ZAR 800 000 - 1 100 000
Full time
30+ days ago

Job summary

A financial technology firm in Johannesburg seeks a Data Science Manager to lead a team in developing machine learning models for credit scoring and fraud detection. The ideal candidate has over 6 years in data science, with strong leadership and technical skills. This role combines team management and hands-on work, enhancing financial services for African customers.

Benefits

Pension
Career Development & growth
Competitive annual leave plus bank holidays
Competitive paid time off (Parental, Moving day, Birthday, Study leave)
Group life insurance
Medical insurance
Well-fare package (Wedding, Compassionate etc.)
Perkbox
Goalr - employee wellness app
Award winning L&D training
Advocates of work-life balance

Qualifications

  • Minimum of 6 years in data science, with at least 2 years in a leadership role.
  • Experience in credit risk modeling, fraud detection, or financial services is highly desirable.
  • Understanding of financial regulations and compliance standards.

Responsibilities

  • Manage and mentor a team of data scientists.
  • Lead the design, development, and deployment of machine learning models.
  • Collaborate with product, engineering, and compliance teams.

Skills

Proficiency in Python
SQL
Machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch)
Strong knowledge of cloud environments (AWS, Google Cloud)
Leadership skills
Communication skills

Education

Bachelor's or Master’s degree in Computer Science, Statistics, Mathematics, or related field
Job description

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 tribe of passionate and diverse people who dreamed of building an inclusive money app that Africans would love, so it’s only right that we ended up with the name ‘Kuda’ which means ‘love’ in Shona, a language spoken in the southern part of Africa. We’re giving Africans around the world a better alternative to traditional finance by delivering money transfers, smart budgeting and instant access to credit through digital devices. We’ve raised over $90 million from some of the world's most respected institutional investors, and we’re rolling out our game-changing services globally from our offices in Nigeria, South Africa, and the UK.

Role Overview

As the Data Science Manager at Kuda, you will be responsible for leading a dynamic team of data scientists to develop and deploy machine learning models that drive critical business outcomes across the entire credit lifecycle. Your team will focus on building solutions for credit scoring, fraud detection, and collections, while also supporting various other business functions by providing data-driven insights and predictive capabilities.

You will work with cutting-edge technologies in data science and machine learning, with an emphasis on building scalable, real-time decisioning systems that are integrated into our product offerings. This means that your models will not only be developed but also put into production in a way that supports live, real-time decisions, enhancing Kuda's ability to serve customers with speed and precision.

Your role will require collaboration across multiple cross-functional teams, including product, business, technology, and data teams, ensuring that all teams are aligned to deliver value through innovative, data-driven solutions. As a manager, you'll foster an environment of continuous learning and improvement, ensuring that your team stays ahead of the curve in terms of industry trends, emerging technologies, and the most effective methodologies in the field of data science.

Key to your success will be your ability to translate business challenges into data-driven solutions while balancing technical execution with strategic vision. Your leadership will help scale Kuda’s impact, bringing high-quality, machine learning-based credit solutions to millions of customers across Nigeria and beyond.

This role will be a 50/50 split between leadership and hands‑on work - you will guide & mentor your team while also remaining deeply involved in the technical aspects.

Key Responsibilities
  • Team Leadership: Manage and mentor a team of data scientists, fostering a collaborative and innovative environment.
  • Model Development: Lead the design, development, and deployment of machine learning models for credit scoring, fraud detection, and collections.
  • Cross‑Functional Collaboration: Work closely with product, engineering, and compliance teams to integrate models into production systems.
  • Data Analysis: Analyze large, complex datasets to extract actionable insights and inform business strategies.
  • Model Monitoring: Oversee the performance of deployed models, ensuring they meet business objectives and regulatory standards.
  • Stakeholder Communication: Present findings and recommendations to senior leadership and other stakeholders.
  • Continuous Improvement: Stay abreast of industry trends and emerging technologies to continuously enhance model performance and team capabilities.
Qualifications
  • Education: Bachelor's or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
  • Experience: Minimum of 6 years in data science, with at least 2 years in a leadership role managing teams and projects.
  • Technical Skills: Proficiency in Python, SQL, and machine learning libraries (e.g., scikit‑learn, TensorFlow, PyTorch). Strong knowledge of cloud environments and services (AWS, Google Cloud).
  • Domain Knowledge: Experience in credit risk modeling, fraud detection, or financial services is highly desirable.
  • Leadership: Strong ability to lead teams, manage projects, and communicate effectively with both technical and non‑technical stakeholders.
  • Regulatory Awareness: Understanding of financial regulations and compliance standards, particularly in the Nigerian context.
Why join Kuda?
  • 💜A great and upbeat work environment populated by a multinational team
  • 👴Pension
  • 📈Career Development & growth
  • 😁Competitive annual leave plus bank holidays
  • 🎁Competitive paid time off (Parental, Moving day, Birthday, Study leave etc)
  • 💯Group life insurance
  • 💖Medical insurance
  • 🎁Well‑fare package (Wedding, Compassionate and etc)
  • ✅ Perkbox
  • 🏃♀️Goalr - employee wellness app
  • 🥇Award winning L&D training
  • 💒 We are advocates of work‑life balance, working in a hybrid in office schedule

At Kuda, our people are the heart of our business, so we prioritize your welfare. We offer a wide range of competitive benefits in areas including but not limited to:

“Kuda is proud to be an equal‑opportunity employer. We value diversity and anyone seeking employment at Kuda is considered based on merit, qualifications, competence and talent.”

“We don’t regard colour, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status. If you have a disability or special need that requires accommodation, please let us know.”

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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