53 R jobs in South Africa
Data Science Head
Posted 2 days ago
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Job Description
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:
- 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.
- Team Leadership: Manage and mentor a team of data scientists, ensuring their professional development and providing them with the necessary resources and tools.
- 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.
- 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.
- Data Governance: Ensure data quality, accuracy, security, and compliance with regulatory requirements, including data privacy and security policies.
- Technology Management: Stay abreast of the latest advancements in data science technologies and tools and make recommendations for their adoption within the agency.
- 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.
#J-18808-LjbffrData Science Manager
Posted 2 days ago
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Job Description
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
Data Science Lead
Posted 4 days ago
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Job Description
Beauparc Mogalakwena, Limpopo, South Africa
Join or sign in to find your next jobJoin 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.
Main Responsibilities:
- 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
About Us
Join us on the journey….
Over the past 30 years, Beauparc has continued to grow and acquire businesses that all share a very similar vision and set of values. We’re now a group of almost 3000 people, all contributing to that growth and success.
Whilst Beauparc is the parent company to numerous brands, we all share an ambitious vision for the future. Our primary goal is to ensure the safety and wellbeing of our people and connected partners is front and centre. As a team, we’re safer together. We deliver our customers with a partnership approach to managing their resources responsibly. We constantly push the boundaries of innovation. What’s good today can be better tomorrow.
Beauparc is not just a company, it’s a resource recovery business. Over the past three decades we’ve grown and diversified significantly, we believe that great leadership is rooted in strong values. As leaders within this industry, we’re committed to shaping a better future for our friends, families and communities. Our philosophy remains unchanged, balancing customer satisfaction with environmentally sustainable practices. Exceptional customer service, and unwavering dedication to sustainability are the cornerstones of our business.
Our journey is dependent upon talented, passionate, and dedicated people that constantly strive and challenge each other for better outcomes.
Take the first step today and join us on the journey……….
Beauparc aims to attract and retain a skilled and diverse workforce that best represents the talent available in the communities in which our assets are located and our employees reside.
(DE&I Policy Statement)Seniority level
- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Engineering and Information Technology
- Industries Utilities
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#J-18808-LjbffrData Science Lead
Posted 9 days ago
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Job Description
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
The Data Science Lead is responsible for analyzing, processing, and modeling data, then interpreting the results to create actionable plans that help solve business challenges and drive business results.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
Business Insight Cultivates Innovation Drives Results Manages Ambiguity Manages Complexity Plans and Aligns Situational Adaptability Strategic MindsetEducation
Bachelor of Science (BS)Closing Date
14 July 2025 , 23:59The 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!
#J-18808-LjbffrData Science Specialist
Posted 6 days ago
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Job Description
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
Requirements:
- 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 Research, Data Science For Social Impact
Posted 8 days ago
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Job Description
DSFSI is a transdisciplinary research lab working at the intersection of:
- 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.
Who Should Apply?
We welcome applicants from a wide range of backgrounds—not just computer science or engineering. If you’re committed to social impact and curious about how data science can help, this is the place for you.
We aim to be an open and inclusive lab . We especially encourage applications from underrepresented groups and those who might not traditionally see themselves in tech or academic spaces.
Support & Funding
We aim to provide support to as many students as possible. This includes:
- Fellowships
- Research and teaching assistantships
- Project-based funding
Application Timeline & Process
- 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.
Visit our application page for full details and the application form:
#J-18808-Ljbffr
Head of Data Science
Posted 9 days ago
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Job Description
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- Seniority level Director
- Employment type Full-time
- Job function Engineering and Information Technology
- Industries Human Resources Services
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About the latest R Jobs in South Africa !
Head Of Data Science
Posted 9 days ago
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Job Description
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.
Why You'll Love This Role:- Own the Data Vision: Craft and drive the data strategy that powers innovation and growth.
- Lead with Impact: Build and inspire a team of data scientists, engineers, and analysts.
- Stay on the Edge: Leverage the latest AI and analytics to uncover transformative insights.
- Define and execute a visionary data strategy aligned with business goals.
- Champion data governance and ensure integrity, security, and compliance.
- Oversee cutting-edge frameworks for data integration and analytics.
- Collaborate across teams to identify data-driven growth opportunities.
- Drive data quality initiatives to maintain accuracy and consistency.
- Foster a culture of learning and excellence within your high-performing team.
- Proven leadership in data science, analytics, and management.
- Deep expertise in data governance, modeling, and cutting-edge tools (SQL, Python, R).
- A track record of delivering insights that drive business transformation.
- Exceptional communication and stakeholder management skills.
- 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
#J-18808-LjbffrHead of Data Science
Posted 10 days ago
Job Viewed
Job Description
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.
Senior Manager - data science
Posted 1 day ago
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Join to apply for the Senior Manager - data science role at Terapia - a SUN PHARMA Company
1 day ago Be among the first 25 applicants
Join to apply for the Senior Manager - data science role at Terapia - a SUN PHARMA Company
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Date: Jul 18, 2025
Location: Sun House - Corporate Office
Company: Sun Pharmaceutical Industries Ltd
Job Title:
Senior Manager – Data Science
Job Grade:
G9A/B
Function:
Global Information Technology
Sub-function:
Data Science & Analytics
Manager’s Job Title:
SGM, Data & Analytics
Skip Level Manager’s Title:
AVP, Enterprise Applications
Function Head Title:
Chief Information Officer
Location:
Sun House, Mumbai
No. of Direct Reports (if any)
~ up to 3
Areas of Responsibility
At Sun Pharma, we commit to helping you “Create your own sunshine ”— by fostering an environment where you grow at every step, take charge of your journey and thrive in a supportive community.
Are You Ready to Create Your Own Sunshine?
As you enter the Sun Pharma world, you’ll find yourself becoming ‘Better every day’ through continuous progress. Exhibit self-drive as you ‘Take charge’ and lead with confidence. Additionally, demonstrate a collaborative spirit, knowing that we ‘Thrive together’ and support each other’s journeys.”
Job Summary:
The role would work as an integral part of the Data & Analytics team at SUN Pharma. It involves leading and managing business critical data science projects and AI/ ML Initiatives. The role requires an understanding of business processes related to Pharma industry and data science and analytics, and the ability to communicate effectively to both technical and functional stakeholders.
Position offers a significant opportunity for an all-round business understanding and impact working with the in-house teams as well as business and corporate functions as well as technology consultants and partners
Key Responsibilities:
For designated complex and business critical digital and technology based data & AI related projects,
- Building and expanding the Data Analytics CoE and Data Architecture for Global Use cases
- Clear understanding of the expected business outcome, business value and specific outputs / deliverables
- Managing stakeholders and expectations from use of data science and analytics
- Working in tandem with Data guardians from different functions, in-line with their requirements and vision
- Monitoring any proof of concept for new requirement, coordinating with involved stakeholders and partners, ensuring timely completeness for the objectives pre-decided
- Planning benefits realization for Data Science projects and execution strategy
- Reusability of data streams, wherever applicable, to eliminate duplication in data foot print
- Managing a team of data engineers, cloud architects, MLOps engineers and Database engineers
- Structuring delivery team organization, managing the engagement with relevant partner ecosystem
- Managing CI-CD pipelines and building ML products for internal teams
- Managing budgets, managing scope, time and quality, measuring and managing change
- Targeted communication, orchestration and governance
- System/solution usage and adoption, benefit realization and measurement
Mostly, within India;
Job Scope
Internal Interactions (within the organization)
Across Functions, Global Function Heads, CEOs, MD’s Office
External Interactions (outside the organization)
Technology solution / service delivery partners
Geographical Scope
Global
Financial Accountability (cost/revenue with exclusive authority)
Delivering data analytics. ML & AI Projects – as per approved cost.
Job Requirements
Educational Qualification
B. Tech / MBA
Specific Certification
Skills
- Knowledge of Data Science, ML, Statistical Techniques, Data Modelling, Data Transformation, Use of Cloud Hyperscaler environment.
- Use of cloud based tools for automating ML pipelines and deploying cloud based models for end users
- Ability to understand and interpret complex datasets and formulate means for merging disparate data sources
- Strong fundamentals in cloud services and data lake architecture.
- Work involves handling sensitive data and confidential information requiring discretion on the role holder's part.
- Ability to work under deadlines and comfortable with certain level of ambiguity
- Ability to multi task, successfully adapt to changes in work priorities.
- Should be comfortable to operate at a strategic level, and also have an eye for detail.
- Should be a self motivated
7-12 years (preferably, IT Services / Pharma Industry Experience, from organizations of repute)
Experience In Handling Data/ Data Models For Different Functions
Your Success Matters to Us
At Sun Pharma, your success and well-being are our top priorities! We provide robust benefits and opportunities to foster personal and professional growth. Join us at Sun Pharma, where every day is an opportunity to grow, collaborate, and make a lasting impact. Let’s create a brighter future together!
Disclaimer: The preceding job description has been designed to indicate the general nature and level of work performed by employee within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees as assigned to this job. Nothing herein shall preclude the employer from changing these duties from time to time and assigning comparable duties or other duties commensurate with the experience and background of incumbent(s).
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- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Engineering and Information Technology
- Industries Pharmaceutical Manufacturing
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