317 Data Mining jobs in South Africa

Overview

Job title: Manager : Actuarial Valuations & Statistical Analysis

Job Location: Gauteng, Centurion

Deadline: October 30, 2025

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• Build, develop and assess models for reserving / valuation using appropriate techniques to ensure that the data is accurate, and that model processes are effective, efficient, of high quality, well documented and verifiable.
• Data manipulation to determine reserves.
• Development of an appropriate valuation model / method.
• Setting of valuation assumptions.
• Running the model and producing results.
• Applying sensitivity and scenario testing to the results.
• Producing the valuation report.
• Standardize the actuarial valuation report to Actuarial professional guidance.
• Oversee that the actuarial results are correctly interpreted and reported in the RAF’s quarterly and annual financial statements.
• Manage the whole actuarial valuation process.

• Data manipulation for modelling future projections.
• Development of an appropriate modelling method – deterministic and / or stochastic.
• Set projection or modelling assumptions.
• Running model and reporting on results.
• Producing report on required funding from National Treasury and demonstrating period required by RAF to become solvent.
• Oversee that the actuarial results are correctly interpreted and applied.

• Developing model and assumptions for benefit quotations.
• Data manipulation to state of quotation of loss of earnings or loss of support benefits – especially the model input.
• Running model to produce benefit results.
• Check quotation results actuarially for reasonability.
• Produce quotation report.
• Manage the quotation processing.

• Use actuarial valuation results to compile the FSB report.
• Run a few model scenarios that are required for statutory reporting.
• Produce reports as appropriate.

• Apply the Funding Model for financial projections.
• Set of model assumptions to make them suitable for projection purposes.
• Run model for Strategic Plan results.
• Apply scenario and sensitivity testing to model results.
• Produce necessary report on findings and results.
• Responsible for correct interpretation and application of actuarial results.
• Oversee and manage all related process.

• Extract data and data reports from IT claim system.
• Provide results in statistical and graphical form to provide information for monthly, quarterly, half-yearly and annual management reporting.

• Investigate mortality and morbidity experience to assist in setting the quotation of loss of earnings and loss of support benefits.
• Assist with expense investigation for the company budgeting purposes.
• Produce appropriate reports for different relevant users of investigation results.
• Oversee that the actuarial investigation results are correctly interpreted and applied.

• Assist with reviewing and monitoring risk mitigating tasks or measures.

• Contribute to the development and implementation of departmental policy, procedures and processes.
• Keep up to date with effective policy and practice execution strategies.

• Prepare and submit reports as and when required to provide progress updates and / or inform management decisions.
• Develop reports / policies / procedures and guide the process through the alignment of the documents to the overall RAF’s Strategy.
• Develop functional reporting systems, for management, projects or performance reporting.

• Facilitate and manage communication with relevant internal and external stakeholders in relation to investments and proactively and progressively manage the relationships.
• Manage relationships with vendors, service providers or procurement teams and ensure that all relevant procured items are invoiced and paid on time.
• Communicate with all levels of stakeholder contact.
• Represent the Fund in relevant external activities and events.

• Ensure the sourcing, development and retention of a high-performance team.
• Manage staff in the department to ensure that they achieve their objectives in line with the strategic objectives of the RAF. Manage the implementation of human capital processes and procedures to control / regulate workplace conflict and / or institute corrective measures and consultation processes to address deviations from standards.
• Allocate, direct, motivate and evaluate subordinates to help them achieve their individual goals.

• Bachelor’s Degree / Advanced Diploma in Actuarial Science / Mathematics related qualification.
• Postgraduate in Actuarial Science / Mathematics related qualification will be an added advantage.
• At least eight (8) professional actuarial exam passes / exemptions will be an added advantage.
• Relevant 6 - 8 years’ experience in Actuarial environment of which 2 years must have been on a management / supervisory level
• Research / Data Analysis jobs

Not for First Time Job Seeker

Important:
This role requires all 12 listed skills.

Please ensure your CV clearly reflects each of these with traceable experience and references. Candidates missing any of the required skills will not be considered.

JOB ROLE - DATA SCIENCE/ AI/ML Engineers:-

Educational qualifications

• Bachelor's degree in data science, Statistics, Mathematics, Computer Science, or a related quantitative field.
• Master's or PhD in Machine Learning, Applied Mathematics, Econometrics, or AI (strongly preferred).

SKILLS:

Machine learning engineering

Azure databricks

Business acumen

Python

SQL

Version control and collaboration tools (git, azure repo)

Strong communication with non-technical stakeholders

Cloud platform knowledge (azure)

Model deployment (CI/CD pipelines, model monitoring)

Understanding of rag pipelines and autonomous agents

Feature and ml data engineering (advanced big data wrangling)

Understanding of project management and agile methodologies

Relevant experience

• 8–12 years of experience in data science, machine learning, or advanced analytics roles, with at least 3 years in a leadership or managerial capacity.
• Proven delivery of AI/ML models in production environments—preferably in Fintech, Banking, or Telecoms.
• Experience translating complex data science solutions into measurable business outcomes (e.g., credit scoring, fraud detection, churn prediction).
• Exposure to cloud-based ML platforms (e.g., AWS SageMaker, Azure ML, GCP Vertex AI)."

Required certifications

Preferred: TensorFlow, AWS ML Speciality, Microsoft AI Fundamentals

Key responsibilities

• Lead and scale a high-performing team of data scientists and ML engineers.
• Define and execute the data science roadmap, aligned to business priorities and monetisation opportunities.
• Oversee the end-to-end model lifecycle—from ideation, exploration, development, validation, to monitoring.
• Partner with Product, Risk, and Engineering to integrate models into digital and operational channels.
• Establish standards for model governance, explainability, and ethical AI practices.
• Drive innovation by exploring emerging techniques in generative AI, reinforcement learning, and real-time scoring.

Work location

Hybrid

Contract Position

THE WORK : Join our dynamic team and embark on a journey where you will be empowered to perform independently and become an SME. Required active participation/contribution in team discussions and contribute in providing solutions to work related problems. Let's create a brighter future together!

Use existing research methods and develop new approaches to discover anthropological, ethnographical and sociological insights.

Develop brand tracking systems and convert data into relevant KPI dashboards.

Utilize analytical methodologies, mathematical modeling or optimization techniques to develop intellectual property.

BONUS POINTS IF YOU HAVE:

• Advanced proficiency in Generative Design
• Advanced proficiency in Machine Learning

HERE'S WHAT YOU WILL NEED:

• Expert proficiency in Data Science.
• Advanced proficiency in Data Analytics.
• A minimum of 1 year of experience in relevant related skills.
• Bachelor's Degree in relevant field of studies

BONUS POINTS IF YOU HAVE:

• Advanced proficiency in Generative Design
• Advanced proficiency in Machine Learning

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.

Why join Kuda?

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:

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

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.