288 Data Science jobs in South Africa

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!

• 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

Referrals increase your chances of interviewing at Di O Rara Personnel by 2x

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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

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.

Clause:
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.

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

• Collaborate closely with the data science manager to establish and execute the team's technical vision, strategy, and goals.
• Provide effective leadership to the data science team, fostering a collaborative and innovative environment that encourages creativity and growth.
• Guide and mentor team members, promoting their professional development and enhancing their skills in AI, data science, machine learning, and related technologies.
• Effectively manage and allocate resources, ensuring efficient project execution, and alignment with business goals.
• Continuously align delivery to the company and Development & Engineering team strategy and planning.

Delivery of AI and Data Science Solutions

• Lead and contribute to the end-to-end development of AI solutions using data science and machine learning, ensuring they address real-world challenges in telemetry, IoT, and Engineering domains, as determined by business.
• Ensure delivery of solutions on time, in budget, with the desired functionality, at the defined quality level in a sustainable way.
• Collaborate closely with cross-functional teams to gather requirements, design solutions, and integrate insights into operational processes.
• In collaboration with field experts, coordinate the design and implementation of generative models, contributing to enhanced vehicle tracking, recovery operations, and operational efficiency.

Best Practice Quality and Testing

• Uphold the highest standards of quality in AI and Data Science solutions by implementing best practices in data preparation, model development, validation, data quality, etc.
• Oversee rigorous testing methodologies to validate the accuracy, reliability, and effectiveness of developed models, ensuring they meet business requirements.

System Maintenance and Support

• Take responsibility for the ongoing maintenance and optimization of AI/DS products, services, models, and solutions, ensuring they remain effective and aligned with changing business needs.
• Collaborate with the IT and other engineering teams to address any technical issues, ensure system stability, and provide timely support when required.

Knowledge Transfer

• Foster a culture of knowledge sharing within the team by promoting the exchange of expertise, insights, and lessons learned from past projects.
• Facilitate the documentation of project details, methodologies, and best practices, ensuring seamless knowledge transfer among team members.
• Mentor and coach junior data science members.

Engineering Processes and Environment

• Drive the integration of AI solutions into the overall engineering environment, leveraging tools and processes that align with industry best practices.
• Collaborate with engineers, data engineers, and IT specialists to ensure the scalability, reliability, and security of AI solutions in a production environment.
• Strive to enhance engineering processes and practices by contributing insights from AI projects to improve the overall operational efficiency of the organization.
• Effective use of AI and Data Science development toolsets.
• Follow department development standards as adapted to Data Science.

Education:

• BSc (Comp Sci) or BEng or higher qualification of relevance.
• Other STEM degrees from established Universities might be considered given relevant minimum experience.
• Additional leadership development is an advantage.

Working Experience: Minimum 4 years hands-on experience:

• Minimum of 4 years of relevant experience in AI, data science, and machine learning.
• At least 1 year in a team lead or managerial role, and 2 years in a senior data scientist role.
• Established hands-on experience with Python, DataBricks, PySpark, Azure, SQL, PowerBI, and GIS.
• Success in leading AI/Data Science solutions using data science and machine learning in telemetry, IoT, Software Development, or Engineering contexts.
• Familiarity with Linux and proficiency in additional programming languages like Java or C#.
• Excellent analytical and problem-solving skills.
• Ability to translate business needs into data-driven solutions.
• Strong leadership skills with the ability to motivate and guide a team toward achieving common goals.
• Effective communication and collaboration abilities to work closely with cross-functional teams.
• Detail-oriented mindset with a commitment to delivering high-quality, actionable insights.
• Experience in the Telematics or automotive industry is a plus.

Technologies Experience:

• Project Management: Agile frameworks like Scrum or Kanban (essential), Project management tools.
• Programming: Python (essential), Java or C# (optional).
• AI: AIOps, Generative models such as LLMs (highly desirable), GANs, VAEs, LangChain, etc.
• Big Data: MS Azure (essential), Apache Hadoop, Delta Lake format, Parquet, and Spark.
• Visualization: PowerBI, Matplotlib, Seaborn, Plotly.
• Version Control: Git (essential), GitHub, GitLab, or related.
• Geospatial: GIS software, GeoPandas.
• Deployment: Docker and Kubernetes, CI/CD pipelines.
• Testing: Unit and integration testing frameworks, Model performance monitoring and logging tools.
• Documentation: MS Office, Wiki platforms (for team documentation).
• Maths: Statistical techniques and hypothesis testing, University level mathematics.

Please submit your CV through PNET if you are interested in applying for this position and one of our consultants will be in contact with you. Should you not receive correspondence from us within two weeks of your application submission, consider your application unsuccessful.