Explore exciting Data Scientist jobs in What Data Scientist Jobs are in Gauteng?
Showing 505 Data Scientist jobs in Gauteng
Data Scientist
Posted 3 days ago
Job Viewed
Job Description
What Youll Drive
- Design, develop, and maintain statistical, machine learning, and predictive models across regression, classification, clustering, time series, and anomaly detection
- Translate business challenges into analytical frameworks with measurable outcomes
- Perform feature engineering, model selection, and hyperparameter optimisation
- Extract, clean, and transform structured and semiâstructured data from multiple sources
- Conduct exploratory data analysis (EDA) toidentify trends, patterns, and anomalies
- Assess data quality and work with data engineering teams to resolve data issues
- Package and deploy models into production environments (batch or realtime)
- Monitor model performance, drift, and stability over time
- Maintain model documentation, versioning, and retraining strategies
- Partner with stakeholders to understand requirements and deliver insights
- Communicate findings, assumptions, limitations, and recommendations clearly
What Were Looking For
- Bachelors in Data Science, Statistics, Mathematics, Computer Science, Engineering, or related field
- Postgraduate (Masters) advantageous Certifications in data science, machine learning, or cloud platforms beneficial
- Certifications such as CAP, Google Data Analytics, or Microsoft Data Analyst Associate are advantageous
- Python proficiency (pandas, NumPy, scikitâlearn, statsmodels)
- SQL for extraction and analysis
- Experience with large datasets and data warehouses
- Strong understanding of machine learning and statistical modelling
- Knowledge of evaluation metrics and validation techniques
- Experience with data visualisation tools like Power BI, Tableau, matplotlib, seaborn
- Understanding of statistics, feature engineering, model interpretability, bias/variance
- Cloud platforms: Azure or AWS
For more information please call us on
- Design, develop, and maintain statistical, machine learning, and predictive models across regression, classification, clustering, time series, and anomaly detection
- Translate business challenges into analytical frameworks with measurable outcomes
- Perform feature engineering, model selection, and hyperparameter optimisation
- Extract, clean, and transform structured and semiâstructured data from multiple sources
- Conduct exploratory data analysis (EDA) toidentify trends, patterns, and anomalies
- Assess data quality and work with data engineering teams to resolve data issues
- Package and deploy models into production environments (batch or realtime)
- Monitor model performance, drift, and stability over time
- Maintain model documentation, versioning, and retraining strategies
- Partner with stakeholders to understand requirements and deliver insights
- Communicate findings, assumptions, limitations, and recommendations clearly
What Were Looking For
- Bachelors in Data Science, Statistics, Mathematics, Computer Science, Engineering, or related field
- Postgraduate (Masters) advantageous Certifications in data science, machine learning, or cloud platforms beneficial
- Certifications such as CAP, Google Data Analytics, or Microsoft Data Analyst Associate are advantageous
- Python proficiency (pandas, NumPy, scikitâlearn, statsmodels)
- SQL for extraction and analysis
- Experience with large datasets and data warehouses
- Strong understanding of machine learning and statistical modelling
- Knowledge of evaluation metrics and validation techniques
- Experience with data visualisation tools like Power BI, Tableau, matplotlib, seaborn
- Understanding of statistics, feature engineering, model interpretability, bias/variance
- Cloud platforms: Azure or AWS
For more information please call us on
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0
Data Scientist
Posted 5 days ago
Job Viewed
Job Description
Duties and Responsibilities:
Experience and Skills
Qualifications:
Experience and Skills
- 6+ Develop models to generate insights and support business decisions
- 6+ years applying statistical methods, machine learning, and domain knowledge to solve complex business problems
- Minimum 1 years knowledge of foundational Large Language Models and agentic AI
- 6+ years Python/R, SQL, notebooks, visualization tools (Power BI), experimentation frameworks
Qualifications:
- Postgraduate qualification in a quantitative field (Statistics, Computer Science, Mathematics, Engineering) or similar qualification.
- Relevant cloud certification in Data Science or Machine Learning or Artificial Intelligence - mandatory
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1
Data Scientist
Posted 5 days ago
Job Viewed
Job Description
As a Data Scientist, you'll work with large and complex data sets to identify trends, develop predictive models, and support data-driven decision-making. You'll collaborate with cross-functional teams to transform raw data into actionable business intelligence and innovative solutions.
What's In It For You?
Key Responsibilities
Job Experience & Skills Required
Ideal Candidate Profile
You are naturally curious, highly analytical, and passionate about turning data into meaningful business outcomes. You thrive in a collaborative environment, enjoy solving complex problems, and can communicate technical insights to both technical and non-technical stakeholders.
Interested? Apply now and become part of our growing Data Science talent network.
What's In It For You?
- Work on exciting, data-driven projects
- Collaborate with industry-leading professionals
- Exposure to cutting-edge technologies and tools
- Opportunities for career growth and development
- Competitive salary and benefits packages
Key Responsibilities
- Analyse large datasets to uncover trends and business insights
- Develop and deploy predictive and statistical models
- Build machine learning solutions to solve business challenges
- Present findings and recommendations to stakeholders
- Collaborate with business, technology, and analytics teams
- Improve data quality, reporting, and analytical processes
Job Experience & Skills Required
- Degree in Data Science, Statistics, Mathematics, Computer Science, or a related field
- Experience in a Data Scientist or Advanced Analytics role
- Strong proficiency in Python, R, SQL, or similar technologies
- Experience with machine learning algorithms and data modelling
- Knowledge of data visualisation tools such as Power BI, Tableau, or similar
- Strong analytical, problem-solving, and communication skills
Ideal Candidate Profile
You are naturally curious, highly analytical, and passionate about turning data into meaningful business outcomes. You thrive in a collaborative environment, enjoy solving complex problems, and can communicate technical insights to both technical and non-technical stakeholders.
Interested? Apply now and become part of our growing Data Science talent network.
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2
Job Description
ROLE & RESPONSIBILITIES:
Submit your CV to:
- Translate business problems into data-driven and AI-enabled solutions
- Perform exploratory data analysis to uncover patterns, issues, and opportunities
- Design, build, and maintain data pipelines to support analytics and modelling use cases
- Develop, train, evaluate, and iterate on machine learning and AI models
- Apply appropriate model evaluation techniques and define success metrics
- Support operational data workflows and resolve day-to-day data processing issues when required
- Produce clear dashboards, reports, and visualisations for stakeholders
- Communicate insights, model behaviour, and recommendations to both technical and business audiences
- Collaborate closely with data engineering, AI platform, and observability teams to productionise solutions
- Contribute to best practices around data quality, governance, and responsible use of AI
- An ideal candidate:
- Is outcome-driven, not model-driven
- Is comfortable working close to data pipelines and production constraints
- Can explain models and uncertainty to business stakeholders
- Collaborates naturally with platform, AI engineering, and observability teams
- Understands that trust, transparency, and governance are as important as accuracy
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3
Job Description
ROLE & RESPONSIBILITIES:
QUALIFICATIONS/EXPERIENCE:
- Define and build agentic system architectures that leverage Amazon Bedrock AgentCore and agent frameworks
- to enable multi-step reasoning and automated workflows.
- Lead technical strategy for model selection, fine-tuning, and inference, advising on cost vs. performance tradeoffs.
- Design and implement containerized deployment standards using Docker and Kubernetes to ensure consistent,
- scalable, and fault-tolerant ML operations.
- Architect secure, low-latency networking for model-to-service and service-to-service communication across
- private and public networks.
- Perform systems-level performance engineering: select appropriate compute accelerators, run load and stress
- tests, and conduct capacity planning for production readiness.
- Establish and operate MLOps and GenAI Ops practices, including CI/CD pipelines, model versioning, and deployment automation.
- Implement observability, logging, monitoring, and incident response for production AI systems to ensure operational excellence.
- Own end-to-end system design for AI workloads: data pipelines, model training, inference, orchestration, and lifecycle management.
- Integrate foundation models into enterprise RAG and tool-use pipelines, enabling complex, real-world use cases.
- Provide technical leadership and mentorship to engineers and stakeholders on architecture, best practices, and operational standards.
QUALIFICATIONS/EXPERIENCE:
- Appropriate academic qualification such as Computer Science, Engineering or Statistics
- Demonstrated track record delivering large-scale AI solutions for enterprise customers, including end-to-end
- ownership of architecture, operations, and stakeholder engagement
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4
2522 Data Scientist (Advanced)
Posted 5 days ago
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Job Description
ROLE & RESPONSIBILITIES:
Submit your CV to:
- Research, design and implement deep learning and machine learning models to meet business needs.
- Understand stakeholder requirements and translate them into ML solutions.
- Write Python code and contribute to reusable machine learning pipelines.
- Work closely with international teams of data scientists, ML and software engineers to deliver solutions.
- Provide support for low-code/no-code solutions to enable business users where applicable.
- Stay up to date with advances in data science and implement best practices across projects.
- Minimum Masters Degree in Data Science, Computer Science, Statistics, Engineering or a related field with strong mathematical foundations.
- 35 years of hands-on experience in data science, machine learning and applied AI.
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5
Data Scientist - AI Specialization
Posted 9 days ago
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Job Description
About the Role Our client, a data-driven organization committed to innovation, is seeking a highly skilled Data Scientist with a specialization in Artificial Intelligence to join their team in **Randburg, Gauteng**. In this role, you will leverage advanced statistical techniques and machine learning algorithms to extract actionable insights from complex datasets and develop predictive models that drive business decisions. You will work on challenging problems across various domains, collaborating with engineering and business teams to implement AI solutions that deliver tangible value. This is an excellent opportunity for a data enthusiast to apply their expertise in AI within a vibrant and collaborative setting. Key Responsibilities
- Develop, train, and deploy machine learning models for predictive analytics, classification, clustering, and other AI-driven tasks.
- Perform in-depth data analysis, including data cleaning, transformation, and feature engineering.
- Identify relevant data sources and develop data pipelines to support model development.
- Evaluate model performance, interpret results, and communicate findings to stakeholders.
- Collaborate with software engineers to integrate models into production systems.
- Stay updated with the latest advancements in data science, machine learning, and AI research.
- Design and implement experiments to test hypotheses and validate model effectiveness.
- Develop visualizations and reports to present complex data insights effectively.
- Contribute to the team's knowledge base and best practices in data science and AI.
- Master's or Ph.D. in Statistics, Computer Science, Mathematics, Physics, or a related quantitative field.
- 3+ years of experience as a Data Scientist, with a strong focus on AI/ML projects.
- Proficiency in Python or R and relevant data science and ML libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
- Solid understanding of statistical modeling, machine learning algorithms, and data mining techniques.
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Familiarity with big data technologies (e.g., Spark, Hadoop) is advantageous.
- Excellent analytical and problem-solving skills.
- Strong communication skills, with the ability to explain technical concepts to non-technical audiences.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
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6
Data Scientist
Posted 9 days ago
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Job Description
About the Role Our client, a leading financial services institution in **Sandton, Gauteng**, is seeking an accomplished Data Scientist to join their analytics division. This is a hybrid role, requiring collaboration at our central **Sandton** office and offering remote work flexibility. You will be responsible for extracting actionable insights from complex datasets, developing predictive models, and driving data-informed decision-making across the organization. This role involves leveraging advanced statistical analysis, machine learning techniques, and data visualization tools to solve challenging business problems. The ideal candidate will have a strong quantitative background, excellent programming skills, and a proven ability to translate data findings into strategic recommendations. We are looking for an analytical thinker who is passionate about uncovering patterns and trends in data to optimize business performance and identify new opportunities. Join a team at the forefront of data innovation in the financial sector. Key Responsibilities
- Collect, clean, and process large and complex datasets from various sources.
- Apply statistical analysis and machine learning techniques to identify trends, patterns, and correlations.
- Develop, train, and validate predictive models and algorithms for forecasting, classification, and optimization.
- Design and conduct experiments to test hypotheses and evaluate the impact of business initiatives.
- Create compelling data visualizations and dashboards to communicate findings to technical and non-technical stakeholders.
- Collaborate with business units to understand their challenges and identify opportunities for data-driven solutions.
- Present complex analytical findings in a clear, concise, and actionable manner.
- Stay current with the latest advancements in data science, machine learning, and artificial intelligence.
- Contribute to the development and improvement of the company's data infrastructure and analytics capabilities.
- Ensure data quality, integrity, and compliance with relevant regulations.
- Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
- Minimum of 4 years of experience as a Data Scientist or in a similar analytical role.
- Proficiency in programming languages commonly used in data science, such as Python or R.
- Experience with machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
- Strong understanding of statistical modeling, hypothesis testing, and experimental design.
- Experience with SQL and working with relational databases.
- Familiarity with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP) is a plus.
- Excellent data visualization skills using tools like Tableau, Power BI, or Matplotlib/Seaborn.
- Strong analytical, problem-solving, and communication skills.
- Ability to work independently and collaboratively in a hybrid work environment.
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7
Lead Data Scientist - Genomics
Posted 5 days ago
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Job Description
About the Role Our client is a cutting-edge biotechnology firm at the forefront of genomic research and personalized medicine. We are seeking an exceptional Lead Data Scientist to join our innovative team based in **Centurion, Gauteng**. This leadership role will be instrumental in driving the analysis of vast genomic datasets to uncover novel biological insights, identify disease markers, and develop advanced diagnostic tools. You will lead a team of talented data scientists and bioinformaticians, shaping the analytical strategies and computational infrastructure required for large-scale genomic projects. The ideal candidate possesses a deep expertise in statistical modeling, machine learning, and bioinformatics, coupled with a passion for applying these skills to complex biological challenges. This is an exciting opportunity to contribute to groundbreaking research that has the potential to revolutionize healthcare, working within a collaborative and forward-thinking organization. The **Centurion, Gauteng** hub offers a dynamic environment for scientific exploration and technological advancement. Key Responsibilities
- Lead and mentor a team of data scientists and bioinformaticians in the analysis of large-scale genomic and transcriptomic datasets.
- Develop and implement advanced statistical and machine learning models for variant calling, association studies, and predictive modeling.
- Design and oversee computational pipelines for next-generation sequencing (NGS) data processing and analysis.
- Collaborate closely with biologists, geneticists, and clinicians to define research questions and interpret findings.
- Drive the development of novel analytical methodologies and tools to address complex biological problems.
- Ensure data integrity, reproducibility, and efficient management of high-volume biological data.
- Present complex analytical results to both technical and non-technical audiences, including leadership and research collaborators.
- Contribute to grant writing and the publication of research findings in peer-reviewed journals.
- Ph.D. or Master's degree in Bioinformatics, Computational Biology, Statistics, Computer Science, or a related quantitative field.
- Minimum of 7 years of experience in data science, with a significant focus on genomics and bioinformatics.
- Proven experience leading and managing a team of data scientists or bioinformaticians.
- Expertise in statistical genetics, machine learning algorithms (e.g., regression, classification, clustering), and deep learning.
- Proficiency in programming languages commonly used in data science, such as Python or R, and associated libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Experience with NGS data analysis pipelines and tools (e.g., GATK, BWA, SAMtools).
- Strong understanding of human genetics, molecular biology, and common disease pathologies.
- Excellent communication, collaboration, and leadership skills.
- Demonstrated ability to translate complex biological questions into computational analyses.
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