Specialist: Data Science (Os)

Telkom; South Africa; Hybrid; ZAR 800,000 - 1,200,000; Full time

Benefits offered by this job

Hybrid work model

Professional development opportunities

Competitive salary

Job summary

Telkom in Pretoria is seeking a Data Scientist with a specialization in Machine Learning to design, develop and deploy advanced ML models addressing complex business problems. You will work with data engineers, analysts and stakeholders to translate objectives into actionable data science solutions and drive data-informed decisions.

The role emphasizes collaboration, cutting-edge ML techniques, and a hybrid work setup, offering growth opportunities and exposure to large datasets across multiple

Qualifications

• Honours, Masters or PhD in Data Science, Statistics, Mathematics, Computer Science, Engineering or related quantitative field
• Postgraduate certifications in data science, ML or cloud platforms advantageous
• Proficiency in Python and/or R
• SQL for data extraction and analysis
• Experience with large datasets and data warehouses
• Strong ML and statistical modelling knowledge
• Familiarity with evaluation metrics and validation techniques
• Experience with Power BI/Tableau/matplotlib/seaborn for visualization

Responsibilities

• Develop, train and deploy ML models for predictive analytics and classification
• Analyze large datasets to identify patterns and insights
• Collaborate with data engineers to build robust data pipelines
• Evaluate and optimize model performance for accuracy and scalability
• Communicate findings and limitations clearly to stakeholders
• Stay updated on ML/Data Science advancements

Skills

Python proficiency

SQL

Data visualization

Big data processing

Statistical modelling

Education

Honours/Masters/PhD in Data Science or related field

Postgraduate certifications beneficial

Tools

Power BI

Tableau

matplotlib

seaborn

Spark

Hadoop

Job description

• What Specialist Data Science Os Jobs are in G...

Showing 214 Specialist Data Science Os jobs in Gauteng

Sorry to hear that! What didn’t you like about this job?

Wrong location

Too few details / Lack of information

Job appears outdated

Salary information missing or unclear

Other (please specify).

Please specify...

Verification *

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) to identify 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 We're 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

Requirements

• Honours, Master's, or PhD qualification in Data Science, Statistics, Mathematics, Computer Science, Engineering, Actuarial Science, or a related quantitative field
• Minimum 3 years' experience in Data Science, Machine Learning, Predictive Modelling, or Advanced Analytics
• Strong Python and/or R programming skills
• Experience with machine learning algorithms and statistical modelling techniques
• Proficient in SQL and data analysis

Advantageous Experience

• Cloud platforms such as Azure, AWS, or GCP
• Exposure to Natural Language Processing (NLP) or Computer Vision
• MLOps and model deployment experience
• Working with large and complex datasets

Data Scientist - Machine Learning Specialist

Our client is seeking a talented Data Scientist with a specialization in Machine Learning to join their innovative team in Pretoria . In this role, you will be instrumental in developing and deploying advanced machine learning models to solve complex business problems, uncover insights, and drive data-informed decision-making. You will collaborate closely with data engineers, business analysts, and stakeholders to translate strategic objectives into actionable data science solutions. This is an exciting opportunity for a passionate data scientist to leverage cutting‑edge ML techniques and large datasets in a challenging and rewarding environment.

About the Role

Our client is seeking a talented Data Scientist with a specialization in Machine Learning to join their innovative team in Pretoria . In this role, you will be instrumental in developing and deploying advanced machine learning models to solve complex business problems, uncover insights, and drive data-informed decision-making. You will collaborate closely with data engineers, business analysts, and stakeholders to translate strategic objectives into actionable data science solutions. This is an exciting opportunity for a passionate data scientist to leverage cutting‑edge ML techniques and large datasets in a challenging and rewarding environment.

Key Responsibilities

• Develop, train, and deploy machine learning models for predictive analytics, classification, and other data-driven applications.
• Analyze large, complex datasets to identify patterns, trends, and actionable insights.
• Collaborate with data engineers to build and maintain robust data pipelines for model training and deployment.
• Evaluate and optimize model performance, ensuring accuracy, efficiency, and scalability.
• Communicate complex findings and model results effectively to both technical and non-technical audiences.
• Stay abreast of the latest advancements in machine learning and data science methodologies.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 3+ years of professional experience in data science, with a strong focus on machine learning.
• Proficiency in programming languages such as Python or R, and expertise in ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong understanding of statistical modeling, data mining, and machine learning algorithms.
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL databases.
• Excellent analytical and problem-solving skills, with the ability to work collaboratively in a team setting.

Benefits

• Competitive salary and performance-based incentives.
• Comprehensive health benefits package including medical, dental, and vision.
• Opportunities for continuous learning and professional development in the field of data science.
• Hybrid work model offering flexibility between office and remote work in Pretoria .
• Access to cutting-edge tools and technologies in a stimulating work environment.