36 Search Technologies jobs in South Africa

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.

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
  
  

• 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.
  
  

Calling all AI explorers! Join a cutting-edge lab where your GenAI models shape the future.

From LLMs to data pipelines, you’ll help build intelligence that evolves .

A leading tech-driven organisation is seeking a Generative AI/Data Science specialist to join their innovation lab. This role involves deep AI model development and strong data engineering fundamentals. You’ll focus on building and refining LLM-powered solutions , emphasizing RAG (Retrieval Augmented Generation) frameworks using tools like LangChain and LlamaIndex .

You will partner with data engineers to ensure clean, scalable data pipelines , work on ETL processes and dimensional models, and deploy AI models into live environments with performance and scalability in mind. Additionally, you’ll experiment with new GenAI techniques, support MLOps efforts, and communicate findings to both technical and non-technical stakeholders.

Skills & Experience:

• 3+ years’ experience in AI/ML, with at least 1–2 years specifically in Generative AI
• Proficiency with Python , SQL , and libraries like Pandas and NumPy
• Practical experience with LangChain , LlamaIndex , or other LLM ecosystems
• Strong background in ETL , data engineering , and dimensional modelling
• Experience working across cloud platforms (AWS, Azure, or GCP)
• Familiarity with Docker , Kubernetes , and model deployment best practices
• Exposure to vector databases , Spark , or Hadoop is advantageous
• Confident communicator who can translate complex AI concepts into actionable insights

Qualifications:

• Bachelor’s or Master’s in Computer Science, Data Science, Machine Learning, or related fields
• Preferred certifications (not required but advantageous):
• AWS Certified Machine Learning / AI Practitioner
• GCP Professional ML Engineer / Associate Cloud Engineer
• Microsoft Azure AI Engineer / Data Scientist

If you’re ready to join a team where innovation thrives and your AI models will thrive , get in touch for a confidential chat.

Because in this world, it’s not about surviving the data jungle—it’s about engineering the future of intelligence .

Contact Kauthar Marcus at or , quoting the Ref: CTI005560 .

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Western Cape, Cape Town

Hourly Basic Salary (Market related, Negotiable)

An opportunity exists for a Data Science Specialist to join our Client, a leading South African establishment with an international footprint. This is a contract role and is based in Cape Town (hybrid working environment).

The ideal candidates will bring strong experience in data modelling, advanced analytics, and business intelligence reporting, with a particular focus on Power BI , MS Databricks , and SQL .

Key Responsibilities

• Develop and maintain executive-level dashboards and reports using Power BI
• Leverage Databricks for data processing, analysis, and insight generation
• Extract, transform, and manage large datasets using SQL
• Translate complex data into actionable insights for leadership teams across South Africa and the broader African region
  
  

• Proven experience working in enterprise-scale environments
• Strong business acumen with a focus on decision-support analytics
• Ability to communicate insights clearly to C-level stakeholders
  
  

• Data Science for Society – building tools, systems, and insights to support evidence-based decision-making in the public interest.
• Local Language Natural Language Processing (NLP) – advancing African language technologies through inclusive, culturally grounded approaches.
  
  

• Fellowships
• Research and teaching assistantships
• Project-based funding
  
  

• Apply between 15 May and 15 July 2025
• Decisions by end of August
• Start date: January/February 2026
  
  

• For MSc and PhD: You must first apply to DSFSI, go through an internal selection process, and then (if successful) apply to the University of Pretoria with our support.
• For Honours and MIT students: You can apply to those programs directly and then also apply to join DSFSI as your research group.
  
  

Join to apply for the Head of Data Science role at Di O Rara Personnel

2 weeks ago Be among the first 25 applicants

Join to apply for the Head of Data Science role at Di O Rara Personnel

We have an exciting opportunity for a Head of Advanced Data Science role in an intelligence solutions company. Our client provides services and technologies to help organizations collect, analyze, and utilize data to gain insights and make better decisions. They are looking to hire an experienced candidate who will play an important role in shaping the future of their data science and AI strategy. The successful candidate’s work will be the cornerstone of innovation, transforming complex data into actionable insights that drive significant business impact for clients across various industries. This is more than just a leadership position; it’s an opportunity to pioneer the next generation of predictive and prescriptive analytics solutions.

Requirements

Qualifications: BCom/BSc Honors/MCom/MSc/PhD Statistics, Mathematics or computer science (must have proven machine learning building experience)

Experience: 10 years or more relevant analytical experience with at least 3 in ML/AI

Technical Skills

• Data Analysis: Exceptional ability to work with, analyse, interpret, and develop insights products on data.
• Machine Learning: Strong understanding and practical application of statistical concepts and machine learning techniques.
• Technical Proficiency: Expertise in Python, R & SQL required with experience in TensorFlow, Hugging Face, FastHTML, FastAPI, Flask and Django advantageous.
• Familiarity with Docker containers and predictive model deployment in Microsoft Azure or similar.
• Working with virtualised applications and programming environments.
• Adaptability: Ability to adjust to different programming environments based on the project needs.
• Professional approach to report writing, documentation and other written communications.
• Familiarity with Agile concepts and their application in a Data Science environment.
  
  

• Seniority level Director

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Human Resources Services

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Job Purpose:

To support the business in identifying opportunities for different segments, and work to use identified insights to design compelling, disruptive and commercially viable Client Value Propositions for the company Insurance offerings.

Job Responsibilities:

• Provide input on activities for relevant CX reports by collecting information on status and results.
• Co-ordinate tasks, resources and internal and external stakeholders to support the implementation of strategic objectives.
• Meet financial objectives by co-ordinating activities in line with budget/target requirements.
• Design and Develop Client Value Proposition (CVP) by ensuring that the CVP’s resonate with the customers’ needs and while aligning with commercial imperatives.
• Identify and engage with all stakeholders to ensure implementation of CVP activities.
• Build and maintain collaborative relationships with stakeholders to deliver on CVP objectives.
• Understand customer needs and market trends.
• Design and develop market leading customer value propositions that are based on customer needs, behaviour, and potential to optimize both customer value proposition and customer experience across our target segments and population groups.
• Ensure that the CVPs resonate with the customers’ needs and also with commercial imperatives.
• Monitor, analyse and articulate in detail competitor activity and emerging market trends to inform the CVPs and ensure the designs remain competitive and up to date.
• Leverage Analytics, MI & Customer Experience to build a fact-based understanding of customer needs and use these insights to support or disprove particular areas of prioritization, focus and courses of action.
• Ensure alignment with the segment customer value proposition.
• Monitor and provide feedback to enhance customer value proposition.
• Contribute to Segment and Proposition strategy.
• Lead and ensure the implementation of the CVP from end to end.
• Generate concise business plans in support of the CVPs.
• Work collaboratively with downstream colleagues with responsibility for building elements of the CVP to a definitive timetable.
• Contribute to a culture conducive to the achievement of transformation goals by participating in the company’s culture building initiatives (e.g. staff surveys, etc.).
• Participate and support corporate social responsibility initiatives for the achievement of key business strategies.
• Identify and recommend opportunities to enhance processes, systems and policies and support implementation of new processes, policies and systems.
• Improve personal capability and stay abreast of developments in field of expertise by identifying training courses and career progression for self through input and feedback from managers.
• Ensure personal growth and enable effectiveness in performance of roles and responsibilities by ensuring all learning activities are completed, experience practiced and certification obtained and/or maintained within specified time frames.
• Ensure information is provided correctly to stakeholders by maintaining knowledge sharing with the team.

Essential Qualifications:

• Advanced Diplomas/National 1st Degrees

Preferred Qualification:

• Post Graduate Diploma: Marketing Management

Type of Exposure:

• Conducting root cause analysis
• Analysing situations or data that requires an in-depth evaluation of multiple factors
• Influencing stakeholders to obtain buy-in for concepts and ideas.
• Challenging the status quo with a view to improving the environment or people's understanding
• Communicating standards to others
• Working with a group to identify alternative solutions to a problem
• Interacting with diverse people

Minimum Experience:

• Overall 7 years + experience in Client Experience, Customer Value Propositions and Customer Insights.
• 5 years’ experience in developing, implementing and being accountable for crafting of CVP, take to market strategy and business plan.
• 6 years’ experience in roles within market insights, consumer research or product management.
• 4 years’ + experience in Insurance and/or financial service industry.

Technical / Professional Knowledge:

• Business terms and definitions
• Cluster specific operations
• Communication Strategies
• Governance, Risk and Controls
• Principles of financial management
• Principles of project management
• Research methodology
• Decision-making process
• Data and Business analysis
• Competitive Intelligence

Behavioural Competencies:

• Continuous Learning
• Customer Focus
• Work Standards
• Building partnerships
• Planning and Organizing
• Technical/Professional Knowledge and Skills

Join to apply for the Chapter Lead: Data Science role at The HEINEKEN Company

Join to apply for the Chapter Lead: Data Science role at The HEINEKEN Company

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We Go Places! How about you?

Immediate Superior: AME Analyticfs Hub Lead

Location: Johannesburg

Function: Digital & Technology

Sub Function: Digital & Technology - Other Support

Type of Contract: Permanent

Reference Number: 142065

Closing Date: 15/08/2025

The Africa & Middle East (AME) Analytics Hub is a business-led, value-driven satellite of HEINEKEN’s Global Analytics team. Our mission is to help HEINEKEN become the most connected and data-driven brewer in the world.

As part of our continued growth, we are expanding our capabilities and looking for a Data Science Chapter Lead to shape and drive the data science vision for the region. This is a high-impact leadership role where you’ll help define the future of data science across the AME region and contribute to HEINEKEN’s global transformation.

We’re Looking For Someone Who Is

• People-first: You lead with empathy, foster inclusive collaboration, and support the growth of diverse teams.
• Solution-oriented: You bring a pragmatic mindset and a high-degree of ownership and passion for solving real-world business challenges.
• Collaborative by nature: You thrive in cross-functional environments and enjoy working across domains and cultures.
• Strategic and hands-on: You can set a vision, build roadmaps, and also dive into the details when needed.
  
  

• Lead and deliver end-to-end data science solutions that create measurable business value.
• Collaborate across levels and functions—from country teams to regional and global stakeholders in commercial, supply chain, and analytics—to identify pain points, frame problems, and co-create data-driven solutions.
• Champion implementation through effective change management, ensuring adoption and long-term impact.
• Promote engineering excellence by embedding best practices such as CI/CD, modular design, and rigorous testing.
• Design and interpret experiments, including A/B tests and observational studies, translating insights into scalable machine learning solutions.
• Mentor and coach data scientists, fostering a culture of inclusion, psychological safety, and agile ways of working.
  
  

• A seasoned data science leader with expertise in ML engineering, experimentation, and causal inference.
• A strategic thinker who translates business priorities into actionable roadmaps across AME.
• A hands-on engineer, fluent in Python, PySpark, and SQL, with experience in modular ML pipelines (e.g., Databricks).
• A clear communicator, able to engage both technical and non-technical audiences.
• Comfortable with ambiguity and scale, navigating complex data and shifting priorities.
• Passionate about talent, investing in coaching and team growth.
• Bonus: Experience in FMCG, economics/econometrics, and Databricks production deployments.
  
  

• Global opportunities: Work on diverse projects with career paths across countries and regions.
• Continuous learning: Dedicated time for development through workshops, community sessions, and certifications (Microsoft, Databricks).
• A passionate team: Entrepreneurial, driven, and fun—inside and outside of work.
• Hybrid flexibility: Team members are based in Johannesburg, Cape Town
• Meaningful impact: Tackle real challenges and see the results of your work.
• Competitive rewards: Including salary, retirement benefits, and great social events.
  
  

#addjob

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Food and Beverage Services

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Lead Data Science & Analytics – Drive Innovation!

Are you a data-driven leader ready to shape the future of analytics? We’re looking for a Data Science & Analytics Manager to lead a high-performing team and drive data-powered decision-making in a cutting-edge environment.

What You’ll Do:

• Build and lead a team of Data Scientists & Analysts.
• Develop and execute a strategic data science vision.
• Work with stakeholders to drive innovation through data.
• Implement machine learning & predictive analytics models.
• Ensure scalable, high-impact data solutions.

What You’ll Need:

• Degree/Masters/PhD in a quantitative field (Actuarial Science, Statistics, Computer Science, etc.).
• 10+ years of hands-on data science experience .
• Expertise in Python, SQL, Power BI, Azure, and ML frameworks .
• Strong background in big data, cloud infrastructure, and predictive modeling .
• Proven ability to bring data science solutions into production .

Why Join Us?

• Lead a data-driven transformation.
• Work with cutting-edge technologies.
• Collaborate with top industry experts.
• Competitive salary & growth opportunities.

Mid-Senior level

Full-time

Business Development and Other

Data Infrastructure and Analytics