87 Deep Learning jobs in South Africa

Join AIMS South Africa, and work on deep learning for bioacoustics research! This is an in-person postdoc fellowship.

If you’re excited to help with animal conservation and use deep learning to achieve this, then you should apply!

AIMS South Africa in Cape Town, a few meters from the beach! ?
Application deadline: applications will be reviewed as they are received
Start date: immediate

A recent report issued by the WWF states that there has been a catastrophic decline in wildlife population in recent years. A large number of species are threatened with extinction due to a number of factors. Further conservation efforts are still urgently required to ensure the survival of the remaining individuals.

The African Institute for Mathematical Sciences (AIMS) and Stellenbosch University are looking to appoint a post-doctoral fellow to work in the area of deep learning and bioacoustics. The fellow will work as part of a collaborative team of local and international researchers to address important conservation issues.

This fellowship aims at investigating deep learning models for passive acoustic monitoring of animal species. The data will primarily be acoustic data, however additional sources may be used to supplement the investigation. The fellow will research state-of-the-art techniques in deep learning and mathematics to address critical conservation problems. The fellow will develop software code for audio processing, and suitable deep neural networks, typically in TensorFlow or other libraries. Research outputs will be submitted to Q1 ranked international journals.

The fellow will work closely with Dr. Emmanuel Dufourq and the Machine Learning for Ecology Research Group . The fellow will work at AIMS South Africa which is located in the beautiful city of Muizenberg, Cape Town, South Africa. AIMS is located just a few meters from Muizenberg beach! The fellow will also have the opportunity to travel to Rwanda and contribute to AIMS Rwanda.

• Participate fully in the project including research design, literature review, software and model implementation, data analysis, data annotation, writing manuscripts, and giving academic talks.
• Maintain research code in a GitHub repository and use current programming practices.
• Actively participate in research meetings and take initiative to grow the group’s collaborative network.
• Co-supervise students in the area of deep learning for wildlife monitoring.
• Assist the research group in research and academic tasks.
• 40 hours of research work per week.

• Ph.D. in a relevant mathematical science (e.g. computer science, mathematics, …).
• Strong experience in deep learning (TensorFlow, PyTorch,…) and Python programming.
• Clear evidence of completed deep learning projects in computer vision or audio tasks.
• Good mathematical and problem solving skills as the candidate will actively engage in this.
• A strong desire to apply machine learning to bioacoustics problems.
• Proven ability to publish in reputable peer-reviewed journals (Q1 or Q2 ranked, check ranking here).
• Strong communication skills (English written, oral, and presentation).

If you’re excited to help with animal conservation and use deep learning to achieve this, then you should apply! If you love to code and chat about research, then you’ll have a great time!

The award is compliant with the SARS rules for tax exemption and is tenable for two years, subject to submission of a satisfactory progress report and the availability of funds. Tax is not paid on this funding, and thus the candidate would have full access to the funds. Note that this is not a remote position, and the fellow will have to be present at AIMS South Africa for the duration of the fellowship. The fellow will be responsible for their living arrangements and visa application if needed. Candidates who are immediately able to come to Cape Town are encouraged to apply.

Immediately, in-person in Cape Town

1. A complete CV,
2. Proof of Ph.D. completion,
3. A covering letter detailing the candidate’s experience (especially in deep learning for computer vision or audio), availability to start, and explain your interest in machine learning for bioacoustics. Propose a tentative research project related to this call, and how you would address the research question. Cover letters should be aligned with the research group’s interest.

Send your application as a single PDF file to Only shortlisted candidates will be contacted for an online interview. Contact Dr. Emmanuel Dufourq ( ) for details regarding this position.

Women are strongly encouraged to apply. Applications will be reviewed as soon as they are received (first come first served basis).

DISCLAIMER: AIMS South Africa reserves the right to disqualify ineligible, incomplete and/or inappropriate applications. AIMS also reserves the right not to make an appointment to the position as advertised or to extend the deadline for applications.

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.

Job Location : Gauteng, Randburg Deadline : July 27, 2025 Quick Recommended Links

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Job Description

• Welcome to FNB, the home of the #changeables.
• We design for the shapeshifters and deliver products and services that make us incredibly proud of people that make it happen.
• As part of our talented team, you will be surrounded by unique talents, diverse minds, and an adaptable environment that lives up to the promise of staying curious.
• Now’s the time to imagine your potential in a team where experts come together and ignite effective change.
• To implement the Analytics standards in allocated business units, that contribute to the monetisation of data through the development and delivery of advanced mathematical models and business principles that find hidden patterns and associations in data used to influence business strategy, inform channel design and make predictions on the behaviour of clients.

Are you someone who can :

Advanced Data Science Expertise :

• Proven experience in managing data science projects and leading teams.
• Strong knowledge of Scorecard Development, statistical modelling, and data mining techniques.

Leadership and Team Management :

• Demonstrated ability to lead and inspire a team of data scientists.
• Strong interpersonal skills to facilitate collaboration and mentorship within the team.

Strategic Business Acumen :

• Ability to understand and align with the business objectives of the bank’s strategic units.
• Experience in translating complex data insights into actionable business strategies.

Technical Proficiency :

• Proficiency in programming languages such as SAS, Python, R, and SQL.
• Familiarity with data visualisation tools and platforms (e.g., Power BI).

Project Management Skills :

• Strong organisation skills to manage multiple projects simultaneously.
• Ability to prioritise tasks and meet tight deadlines.

Communication Skills :

• Excellent written and verbal communication skills.
• Ability to present complex information clearly to stakeholders at all levels.

You will be an ideal candidate if you :

• Qualifications : Bsc Math’s Stats
• Experience : Model and scorecard development
• SAS experience would be advantageous
• Python, SQL,PowerBi

You will have access to :

• Opportunities to network and collaborate.
• Challenging working environment.
• Opportunities to innovate.

We can be a match if you are :

• Curious & courageous - you're driven by always wanting to know more and learn more and you're brave enough.
• Obsessed with mastery - you know what it takes to become good at what you do and are constantly pushing yourself to do it

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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We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

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

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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