67 Data Mining jobs in South Africa

Vodacom Johannesburg, Gauteng, South Africa

When it comes to putting people first, we're number 1. The number 1 Top Employer in South Africa. Certified by the Top Employer Institute. Vodacom is a leading African mobile communications company, providing voice, messaging, data, and converged services to over (number) million customers across 19 countries.

The company is committed to using data science to drive innovation and improve the customer experience.

Vodacom Group's mission is to "connect people, enrich lives and empower society".

The company has a strong commitment to diversity and inclusion, and is a great place to work for data scientists who are passionate about using their skills to make a difference in the world.

Vodacom's operations span across a wide range of countries, from South Africa to Tanzania to Mozambique.

The company has a large and diverse customer base, which presents a unique opportunity for data scientists to use their skills to make a real impact.

Role Purpose / Business Unit: This role offers an opportunity to lead in the areas of Big Data and AI for Vodacom Group focused on DRC, Lesotho, Mozambique, and Tanzania.

This involves providing Big Data & AI leadership, establishing execution methodologies, and enhancing the capabilities of our team of data scientists. Big Data & AI is an integral part of our company's strategy and is focused on improving our customer experience, providing hyper-personalized recommendations, and unlocking efficiencies.

In South Africa, Vodacom has developed a mature Big Data, AI, and ML operation which is fully integrated into multiple business areas, and this success is being replicated in DRC, Lesotho, Mozambique, and Tanzania.

For the candidate to be successful, they will need to build relationships with key stakeholders, develop a roadmap with each market based on market priorities, and deliver business value in partnership with group and in-market colleagues.

The incumbent will lead a team of data scientists in Vodacom Group, located in South Africa and dedicated to each market, delivering the use-cases identified in each market, while also building data science capacity within each market.

The ideal candidate should be well-versed with Customer Value Management principles, Real-Time Recommender systems, Agentic AI, and ML Ops practices.

Responsibilities include:

• Acts as the principal technical expert, identifying opportunities to make a commercial difference and leading machine learning initiatives to meet business requirements.
• Translates complex datasets into strategic insights and communicates simply to non-technical audiences, visualizing results for understanding and buy-in.
• Develops machine learning products to solve real business problems, considering user needs and operational landscape.
• Identifies new analytics trends to drive innovation across business functions.
• Supports data asset prioritization and works with technology to set data sourcing requirements.
• Mentors colleagues on statistical techniques, algorithms, and data science best practices.
• Drives quarterly delivery cycles and helps produce business value projects.
• Builds and develops Big Data and ML standards for the IB Markets and Team.
• Collaborates with international teams to deliver against commercial targets.

Qualifications:

• Master's or Bachelor's degree in Mathematics, Statistics, Economics, Computer Science, or Engineering.
• 10+ years of relevant experience.
• Proficient in Python ML libraries (H2O, SciPy, NLTK, PyTorch).
• Knowledge of Customer Value Management, Real-Time Recommender systems, and ML Ops.
• Experience with visualization tools (Tableau, Qliksense).
• Strong communication skills and experience in multi-geography team environments.

Key Competencies:

• Extensive experience in machine learning and deploying models on large datasets.
• Ability to test hypotheses, analyze data, and communicate results effectively.
• Deep statistical modeling expertise.
• Experience working with cloud platforms (AWS/GCP).
• Leadership experience in managing data science teams.

Additional details: Closing date for applications is 09 July. The role is based at Vodacom, Midrand Campus. The company values diversity and inclusion and encourages applications from all qualified individuals, including those with disabilities.

The Head of Data Science is a strategic leadership role focused on leveraging data to drive business decisions and innovation.

This involves leading a team of Data Scientists, developing and implementing data science strategies, ensuring data quality and governance, and aligning data initiatives with the bank's overall goals.

The role also requires collaboration with various departments and staying up to date with the latest advancements in Data Science technologies.

Hello, future Data Science Head

Role Purpose: This role is within FNB Retail CDAO, supporting the Internal Advertising Agency, with the Financial Media Network (FMN) being the focus.

They will be responsible for defining and producing contextual customer features and models that support the business in making commercially viable audience segments available to brands and advertising agencies.

The role will also entail collaborating with multiple stakeholders in designing and implementing customer strategies.

The successful candidate will be empowered to think creatively, take ownership of their work, and be accountable for their teams' performance.

They will generate actionable insights and recommendations that influence change, create efficiencies, and optimize outcomes for customers and the business, including generating revenue.

Key Responsibilities:

1. Strategic Leadership: Develop and execute a data science strategy that aligns with the FMN's strategic objectives, including defining data goals, establishing data governance policies, and identifying relevant data sources and audience segments for monetization.
2. Team Leadership: Manage and mentor a team of data scientists, ensuring their professional development and providing them with the necessary resources and tools.
3. Solution Development: Oversee the development and implementation of data-driven solutions, such as predictive models, analytics dashboards, and data-powered applications, to address specific business challenges.
4. Collaboration: Work closely with various internal agency teams, external clients, and internal departments, including business units, IT, data governance, and other supporting data disciplines, to understand business needs, translate them into data science projects, and ensure alignment with organizational goals.
5. Data Governance: Ensure data quality, accuracy, security, and compliance with regulatory requirements, including data privacy and security policies.
6. Technology Management: Stay abreast of the latest advancements in data science technologies and tools and make recommendations for their adoption within the agency.
7. Performance Management: Evaluate the performance of data science projects and initiatives, identify areas for improvement, and make necessary adjustments.

Qualifications and Experience:

• Minimum Qualification: A relevant bachelor's degree in Statistics, Data Science, Econometrics, Actuarial Science, Applied Mathematics, or Computer Science.
• Preferred Qualification: Honours Degree.
• Experience: A minimum of 5 years' relevant experience within Data Science.
• A minimum of 2 years proven leadership experience in managing and mentoring Data Science teams, setting strategic direction, and driving results.
• Strong knowledge of Data Science principles, methodologies, and tools including Machine Learning, Statistical Modeling, and Data Visualization.
• Deep domain knowledge of the banking industry, business processes, and financial concepts is preferred.
• Strong analytical and problem-solving skills.
• Able to analyze complex data, identify patterns and trends, and develop data-driven solutions.
• Excellent communication and interpersonal skills to effectively collaborate with stakeholders and present data insights to diverse audiences.
• Solid project management skills and experience to oversee the development and implementation of Data Science projects.
• End-to-end Model development experience (predictive and prescriptive analytics).
• Intermediate to advanced proficiency in SAS, SQL, or Python.
• Intermediate to advanced knowledge of analytical techniques such as statistical methodologies, segmentation, optimization, and experimental design.

PostLI-AR2

Take note that applications will not be accepted on the below date and onwards; kindly submit applications ahead of the closing date indicated below: 12/07/25.

All appointments will be made in line with FirstRand Group's Employment Equity plan.

The Bank supports the recruitment and advancement of individuals with disabilities.

In order for us to fulfill this purpose, candidates can disclose their disability information on a voluntary basis.

The Bank will keep this information confidential unless required by law to disclose it.

SWATX Cape Town, Western Cape, South AfricaData Science ManagerSWATX Cape Town, Western Cape, South Africa3 weeks ago Be among the first 25 applicantsSWATX is seeking a highly skilled and experienced Data Science Manager to lead our growing data science team.

In this strategic role, you will be responsible for overseeing the development and implementation of data-driven solutions to solve complex business challenges.

You will mentor and guide a team of data scientists, driving innovation and excellence in analytics and machine learning.

If you are a strong leader with a passion for data science and a proven track record of delivering impactful solutions, we invite you to join us.Responsibilities : Lead and mentor a team of data scientists, providing guidance on best practices in data analysis, machine learning, and statistical modelingDevelop and execute the data science strategy aligned with business objectives, ensuring that data-driven insights are integrated into decision-making processesOversee the design and implementation of innovative data science projects that drive value for the organizationCollaborate with cross-functional teams to identify opportunities for leveraging data to improve products, services, and operational efficiencyBuild and maintain strong relationships with stakeholders, understanding their data needs and ensuring timely delivery of insightsMonitor and evaluate the performance of data science models and adjust strategies as necessary to achieve desired resultsPromote a data-driven culture within the organization by communicating the value of data science initiatives to stakeholders at all levelsStay updated on the latest trends and developments in data science and analytics, and integrate new methodologies and tools as appropriateRequirementsBachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related fieldProven experience in a data science role, with at least 5+ years of experience, including 2+ years in a managerial or leadership positionStrong proficiency in programming languages such as Python, R, and experience with data manipulation and analysis librariesSolid understanding of machine learning algorithms, statistical methodologies, and data modeling techniquesExperience with data visualization tools (e.g., Tableau, Power BI) to communicate findings effectivelyExcellent project management skills and ability to prioritize tasks in a fast-paced environmentStrong analytical and problem-solving skills with attention to detailExceptional communication skills, both verbal and written, in English and ArabicProven capability to drive collaboration across teams and influence senior stakeholdersPreferable Certificates : Certified Data Scientist (CDS)Microsoft Certified : Azure Data Scientist AssociateGoogle Cloud Professional Data EngineerSeniority levelSeniority levelMid-Senior levelEmployment typeEmployment typeFull-timeJob functionJob functionInformation TechnologyIndustriesIT Services and IT ConsultingReferrals increase your chances of interviewing at SWATX by 2xSign in to set job alerts for "Data Science Manager" roles.1 X Business Analysis & Insights Manager - UK Reporting linesCape Town, Western Cape, South Africa 1 week agoCape Town, Western Cape, South Africa 4 weeks agoTeam Leader : Credit Intelligence AnalysisCape Town, Western Cape, South Africa 1 week agoCape Town, Western Cape, South Africa 1 month agoTeam Leader : Credit Intelligence AnalysisCape Town, Western Cape, South Africa 3 weeks agoCape Town, Western Cape, South Africa 2 weeks agoCape Town, Western Cape, South Africa 2 months agoCampaign Manager : Category Growth SpecialistCape Town, Western Cape, South Africa 7 months agoStatistical Data Scientist, Advanced Data ScienceCape Town, Western Cape, South Africa 1 day agoCape Town, Western Cape, South Africa 6 days agoCape Town, Western Cape, South Africa 3 weeks agoCape Town, Western Cape, South Africa 1 day agoCape Town, Western Cape, South Africa 1 week agoCape Town, Western Cape, South Africa 1 day agoSenior Data Scientist at Datonomy SolutionsCape Town, Western Cape, South Africa 3 weeks agoBellville, Western Cape, South Africa 1 week agoSENIOR DATA SCIENTIST / MACHINE LEARNING ENGINEER : Own End-to-End Projects in BIG 4 FIRM – CAPE TOWN / JOHANNESBURG – R1.4m – R1.8mCity of Cape Town, Western Cape, South Africa 2 days agoCape Town, Western Cape, South Africa 5 days agoSr Data Scientist, Digital Products & ExperienceBellville, Western Cape, South Africa 1 hour agoCape Town, Western Cape, South Africa 2 weeks agoCape Town, Western Cape, South Africa 2 weeks agoCity of Cape Town, Western Cape, South Africa 19 minutes agoWe're unlocking community knowledge in a new way.

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Data Science Manager • Cape Town, Western Cape

Let's Write Africa's Story Together!

Old Mutual is a firm believer in the African opportunity and our diverse talent reflects this.

Job Description

This role will involve developing and deploying AI and machine learning models, working with large language models (LLMs), and putting analytical products into production.

This role reports to the Business Owner: Intelligent Analytics.

Key Result Areas

Operational Delivery

• Gather data and enable a centralized data knowledge management system that integrates sources into one platform
• Develop a process to aggregate data and then enable centralization
• Mine and analyze large sets of data to derive actionable insights and value from data
• Develop an approach and model for foresight generation
• Perform predictive analytics and data modeling to derive insights about future business decisions that improve customer experiences and business revenue
• Design, implement, and support the delivery of data solutions
• Assess the effectiveness and accuracy of new data sources and data-gathering techniques
• Develop analysis metrics and new reports to support critical business decisions
• Provide input on optimal data architecture to support effective data solutions
• Develop relevant data models, including statistical and machine learning models, to derive more value from data
• Guide data types and content that should maximize value
• Collaborate with stakeholders to understand current challenges and needs that should be met with data solutions
• Identify data tasks and processes that can be improved and automated
• Develop real-time data gathering, analytics, and reporting capabilities
• Launch performance dashboards
• Enable automation
• Integrate with data roles to ensure a holistic GMPAS overview
• Develop and deploy AI and machine learning models
• Work with large language models (LLMs) and prompt engineering
• Put analytical products into production environments

People

• Manage own performance
• Plan work over the applicable period
• Mentor and guide junior data scientists and analysts

Finance and Governance

• Understand, interpret and implement COE specific compliance requirements within GMPAS delivery e.g. POPI

Minimum Requirements

• Relevant degree or qualification.
• Extensive experience in data mining, modeling, and analytics.
• Deep knowledge of AI and machine learning techniques
• Experience with large language models (LLMs) and prompt engineering
• Sound knowledge of data analytics and reporting tools.
• Strong understanding of data models and architecture.
• Ability to integrate traditional research and insight with data.
• Proven track record of putting analytical products into production

Skills

Competencies

Education

Closing Date

The appointment will be made from the designated group in line with the Employment Equity Plan of Old Mutual South Africa and the specific business unit in question.

The Old Mutual Story!

Beauparc Mogalakwena, Limpopo, South Africa

Join to apply for the Data Science Lead role at Beauparc

Beauparc Mogalakwena, Limpopo, South Africa

Join to apply for the Data Science Lead role at Beauparc

• Manage the delivery of data science solutions from inception, through Proof of Concept and into production, using a range of tools and methods.
• Data Analysis: Collect and analyze data from various sources, including internal systems, third-party tools, and market research.
• Dashboard Implementation and Creation: Oversee the development, implementation, and maintenance of dynamic dashboards to visualize key metrics, enabling stakeholders to monitor performance and make data-driven decisions.
• Key Performance Indicators (KPIs): Define KPIs and develop reports to monitor and measure performance based on these indicators.
• Cross-Department Collaboration: Work alongside IT teams to ensure that data infrastructure, systems, and tools are optimized for efficient collection, storage, and analysis.
• Data Structure and Sources: Play a crucial role in deciding the data structure and determining the most relevant and reliable data sources for business analysis. Ensure data integrity and consistency across all platforms.
• Data Visualization: Create compelling presentations that convey analytical insights and actionable recommendations to senior management and stakeholders.
• Data-Driven Decision Culture: Foster an organizational culture that values and utilizes data-driven decision-making, promoting continuous improvement and innovation.
• Make business recommendations based on the data that drives better business decisions.
  
  

• Manage the delivery of data science solutions from inception, through Proof of Concept and into production, using a range of tools and methods.
• Data Analysis: Collect and analyze data from various sources, including internal systems, third-party tools, and market research.
• Dashboard Implementation and Creation: Oversee the development, implementation, and maintenance of dynamic dashboards to visualize key metrics, enabling stakeholders to monitor performance and make data-driven decisions.
• Key Performance Indicators (KPIs): Define KPIs and develop reports to monitor and measure performance based on these indicators.
• Cross-Department Collaboration: Work alongside IT teams to ensure that data infrastructure, systems, and tools are optimized for efficient collection, storage, and analysis.
• Data Structure and Sources: Play a crucial role in deciding the data structure and determining the most relevant and reliable data sources for business analysis. Ensure data integrity and consistency across all platforms.
• Data Visualization: Create compelling presentations that convey analytical insights and actionable recommendations to senior management and stakeholders.
• Data-Driven Decision Culture: Foster an organizational culture that values and utilizes data-driven decision-making, promoting continuous improvement and innovation.
• Make business recommendations based on the data that drives better business decisions.
  
  

• Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related field.
• Experience: Over 3 years of experience in data analytics
• Technical Skills: Proficiency in data analysis and visualization tools such as SQL, Excel, Tableau, Power BI, or similar. A focus on Power BI experience.
• Dashboard Creation Expertise: Extensive experience in designing and implementing effective dashboards that provide real-time insights and enable the business to track performance and make informed decisions.
• Additional Knowledge: Experience in strategic planning using quantitative techniques, managing large data volumes, and advanced statistical techniques.
• Interpersonal Skills: Excellent communication and presentation skills, with the ability to translate complex data into clear, actionable insights.
• Experience using Data Science algorithms and methods to solve business problems using R or Python
• Excellent capability in SQL to extract data from databases
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Utilities

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• 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.
  
  

1 week ago Be among the first 25 applicants

Direct message the job poster from 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.

If you have not received any response within two weeks from when you applied, please consider your application unsuccessful. However, your CV will be kept on our database for any other suitable positions.

• Seniority level Director

• Employment type Full-time

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

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83data City of Johannesburg, Gauteng, South Africa

Job Title: Head of Data Science

Salary: £,-£, (+bonus and benefits)

83data is partnering with a cutting-edge AI powerhouse that's growing fast and redefining tech innovation.

Join as Head of Data Science to shape their data future, lead a brilliant team, and deliver game-changing insights.

1. Own the Data Vision: Craft and drive the data strategy that powers innovation and growth.
2. Lead with Impact: Build and inspire a team of data scientists, engineers, and analysts.
3. Stay on the Edge: Leverage the latest AI and analytics to uncover transformative insights.

1. Define and execute a visionary data strategy aligned with business goals.
2. Champion data governance and ensure integrity, security, and compliance.
3. Oversee cutting-edge frameworks for data integration and analytics.
4. Collaborate across teams to identify data-driven growth opportunities.
5. Drive data quality initiatives to maintain accuracy and consistency.
6. Foster a culture of learning and excellence within your high-performing team.

1. Proven leadership in data science, analytics, and management.
2. Deep expertise in data governance, modeling, and cutting-edge tools (SQL, Python, R).
3. A track record of delivering insights that drive business transformation.
4. Exceptional communication and stakeholder management skills.
5. Passion for leading and mentoring dynamic, high-performing teams.

This is your chance to lead from the front, innovate with purpose, and make a tangible impact.

Ready to redefine the future of data?

Apply now!

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Consulting and Information Technology

Industries: IT Services and IT Consulting