293 Predictive Analytics jobs in South Africa

Eduvos
is looking to hire the services of an
Independent Contractor, Data Analysis Lecturer
,
at our
Durban
campus on a part-time basis.

Type Of Appointment
Independent Contractor (part-time; flexible workhours agreement)
Purpose

• To lecture Data Analysis-related modules, in the Law faculty on a part-time (contractual) basis.
• To assist in the administration and departmental affairs and activities as required by the academic department.

Overview

Eduvos is looking to employ an IS Lecturer at our Mowbray campus on an independent contract basis.

• Independent Contract

• To lecture Information Technology-related modules in the faculty on a full-time basis.
• To assist in the administration and departmental affairs and activities as required by the academic department.

• Associate

• Full-time

• Education and Training

• Higher Education

Overview

Eduvos is looking to hire the services of an Independent Contractor, Data Analytics and Data Analysis Lecturer, at our Vanderbijlpark campus on a part-time basis.

Type of appointment: Independent Contractor (part-time; flexible workhours agreement).

• To lecture Commerce-related modules, in the faculty on a part-time (contractual) basis.
• To assist in the administration and departmental affairs and activities as required by the academic department.

Eduvos is looking to hire the services of an Independent Contractor, Data Analytics and Data Analysis Lecturer, at our Vanderbijlpark campus on a part-time basis.

Type of appointment:

Independent Contractor (part-time; flexible workhours agreement)

Purpose:

• To lecture Commerce-related modules, in the faculty on a part-time (contractual) basis.
• To assist in the administration and departmental affairs and activities as required by the academic department.

Minimum qualifications required:

• Honours in ITC
• Certificate in Power BI

Experience:

• Relevant lecturing experience
• Necessary knowledge of higher education practices and processes
• Relevant research experience

Modules to be lectured:

• Data Analytics (Power BI)
• Data Analysis

Responsibilities:

• Lecturing
• General administration
• Setting and marking of assessments
• Preparation of notes and additional study materials
• Quality Assurance
• Management of At-risk students

Competencies

• Initiative and responsibility
• Constructive teamwork, relations and networking
• Influence
• Analysis and judgement
• Innovation and change
• Systematic approach (planning and organising)
• Steadiness (emotional tenacity)
• Communication

Project:
Implementation Study on the Dapivirine Vaginal Ring

Location:
Remote

Duration:
12 months, part-time consultancy basis

Application Deadline:
20 October 2025

Background

An implementation study on the dapivirine vaginal ring (DVR) was conducted in South Africa, Kenya, Zimbabwe, Lesotho, Uganda and Eswatini. The study generated quantitative data on uptake, adherence, and user experiences. We are seeking a qualified Biostatistician to support data analysis for an implementation study on the dapivirine vaginal ring, a long-acting biomedical HIV prevention method. The consultant will analyze quantitative data on uptake, adherence, and user experiences, producing report and publication-ready results to inform regulatory, policy and programmatic decisions.

Scope of Work

· Review study protocol, objectives, and datasets.

· Develop and finalize a statistical analysis plan (SAP).

· Clean and merge datasets

· Conduct appropriate statistical analyses, including descriptive, inferential, and multivariable analyses

· Provide guidance on data quality, management, and handling of missing data.

· Generate report and publication-ready tables, figures, and outputs.

· Contribute to interpretation of findings and drafting of results sections for reports and manuscripts.

· Participate in virtual meetings with the study team as needed.

Deliverables

· Finalize statistical analysis plan.

· Clean and merge datasets

· Write reproducible code (Stata/R/SAS preferred) and conduct appropriate statistical analyses.

· Comprehensive results tables and figures (report and publication ready).

· Analytical report summarizing findings.

· Contributions to reports, manuscripts, policy briefs, and presentations as needed.

Qualifications

· Advanced degree (MSc) in Biostatistics, Statistics, or related quantitative field, PhD preferrable.

· Demonstrated experience in analyzing implementation science or public health studies.

· Proficiency in Stata, R, or SAS.

· Strong track record of peer-reviewed publications or reports.

· Familiarity with HIV prevention research and/or women's health interventions desirable.

· Excellent communication skills and ability to work collaboratively with multidisciplinary teams.

Level of Effort & Duration

Estimated 12 days per month (3 days/week) over 12 months (with flexibility based on agreed scope) from 01 November 2025 to 31 October 2026. Remote, with communication primarily via email/virtual meetings.

How to Apply

Interested applicants should submit:

1. Cover letter outlining relevant experience.

2. CV (max 4 pages).

3. Example(s) of previous analysis outputs (tables/figures/manuscript contributions).

4. Proposed daily or monthly consultancy rate.

Send applications to:

Deadline: 20 October 2025

Overview

University: Heidelberg University
Country: Germany
Deadline:
Fields: Bioinformatics, Computer Science, Medical Technology, Image Analysis, Data Science

Are you passionate about harnessing the power of data science and image analysis to revolutionize medical diagnostics and patient care? This doctoral opportunity at the University Medical Center Mannheim, part of Heidelberg University, offers a PhD position in ophthalmology, working alongside clinicians and scientists to advance science and patient outcomes.

About The University or Research Institute

Heidelberg University is one of Germany’s oldest and most renowned institutions. Its Medical Faculty Mannheim, in partnership with the University Medical Center Mannheim, leads in medical research, education, and clinical care. The University Medical Center Mannheim serves a large regional footprint, with numerous clinics and institutes and a substantial staff, providing a rich environment for interdisciplinary research and professional growth. Mannheim is a vibrant city in southwestern Germany with strong links to Europe's research and industry networks.

The PhD focuses on developing and implementing advanced algorithms for ophthalmological image data analysis. The rapid expansion of imaging technologies has generated enormous, complex datasets. The project aims to address challenges such as integrating multimodal data and creating robust, scalable solutions to support more accurate diagnostics, personalized treatments, and improved patient outcomes. The research has implications for broader medical imaging, artificial intelligence, and healthcare innovation.

European and German PhD opportunities in related fields are listed on the official job advertisement and related research institution pages.

As a doctoral student in the Department of Ophthalmology, you will:

• Develop and implement algorithms for analyzing image data, including multimodal approaches where necessary.
• Co-develop solutions that integrate various image analysis algorithms.
• Collaborate closely with researchers and physicians in ophthalmology.
• Engage in regular reporting, data curation, data analysis, and quality management.
• Prepare scientific publications and contribute to third-party funding applications.

This is a fixed-term contract for three years, with the possibility of extension. The position offers a high level of responsibility, a diverse range of tasks, and the opportunity to work within an open-minded and motivated team. You will benefit from Heidelberg University’s internal educational programs, support for balancing family and career, and competitive remuneration according to the Collective Agreement for the Public Service of the Federal States (TV-L), including pension benefits.

Ideal Applicants Will Have

• A completed degree (diploma or master’s) in bioinformatics, computer science, medical technology, image analysis, or a comparable field.
• Solid knowledge in machine learning and computer vision.
• Experience with scientific workflows, including data collection, management, and statistical analysis.
• Excellent written and spoken German and English language skills.
• A dynamic, highly organized, and creative personality with a proactive and independent work style.

The University Medical Center Mannheim values diversity and is committed to equal opportunities. Severely disabled persons will be given priority in cases of equal suitability.

For further information, please refer to the official advertisement at the following link:

Application deadline:

Reference number: 899-076

If you are eager to advance your expertise at the intersection of data science, medical imaging, and clinical research, and wish to contribute to meaningful innovations in healthcare, this PhD position at Heidelberg University offers a unique platform. We encourage qualified and motivated candidates to apply and explore related opportunities in this dynamic field.

A specialised AI consulting firm is seeking a Machine Learning Engineer to join our team. This role offers the opportunity to work on high-impact AI initiatives within the banking sector , where you will play a key part in designing, deploying, and scaling advanced machine learning solutions. You’ll collaborate with data scientists, engineers, and business stakeholders to deliver end-to-end AI systems that enhance decision-making, improve customer experiences, and optimise critical processes. Beyond building models, you’ll be responsible for ensuring their performance, reliability, and scalability in production—using modern cloud platforms and MLOps practices.

Responsibilities:

• Design, build, and optimise machine learning models for banking applications.
• Implement scalable ML pipelines and integrate them into production environments.
• Collaborate with data scientists, data engineers, and business stakeholders to deliver end-to-end AI solutions.
• Deploy, monitor, and maintain ML models in AWS environments .
• Ensure model reliability, reproducibility, and performance throughout the lifecycle.
• Document methodologies, workflows, and best practices.

Qualifications and experience:

• 3–5 years of experience in machine learning, data science, or related field.
• Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Experience with large datasets and SQL/NoSQL databases .
• Essential: Hands-on experience with AWS cloud services (SageMaker, S3, Lambda, EC2, Glue, Redshift).
• Familiarity with MLOps practices and CI/CD for ML pipelines.
• Strong problem-solving ability with a track record of translating business needs into technical solutions.
• Experience in banking or financial services is advantageous, but not required.
• Proven experience taking AI models into production at scale .
• Exposure to containerisation (Docker, Kubernetes).
• Familiarity with ML model monitoring and observability tools.

The reference number for this position is NG60802 which is a contract position in Johannesburg/Cape Town offering a contract rate of R550 to R750 per hour, salary negotiable based on experience. e-mail Nokuthula on or call her for a chat on to discuss this and other opportunities.

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Join to apply for the AI Machine Learning role at Blue Pearl

Join to apply for the AI Machine Learning role at Blue Pearl

Job Description

Standard Bank is seeking a highly skilled AI and Machine Learning Specialist to join our innovative team. In this role, you will leverage your expertise in artificial intelligence and machine learning to develop and implement cutting-edge solutions that drive business value and enhance customer experiences.

Job Description

Standard Bank is seeking a highly skilled AI and Machine Learning Specialist to join our innovative team. In this role, you will leverage your expertise in artificial intelligence and machine learning to develop and implement cutting-edge solutions that drive business value and enhance customer experiences.

Responsibilities

• Model Development:
• Design, develop, and train machine learning models.
• Implement AI algorithms and frameworks.
• Conduct exploratory data analysis to inform model development.
• Model Deployment and Integration:
• Deploy machine learning models into production environments.
• Integrate models with existing systems and data pipelines.
• Ensure seamless operation of deployed models.
• Data Preparation and Feature Engineering:
• Prepare and clean data for model training and evaluation.
• Perform feature engineering to enhance model performance.
• Implement data preprocessing and transformation pipelines.
• Model Evaluation and Tuning:
• Evaluate model performance using appropriate metrics.
• Tune hyperparameters and optimize model accuracy.
• Conduct A/B testing and validation of models.
• Collaboration and Stakeholder Engagement:
• Work with data scientists, engineers, and business stakeholders to understand requirements.
• Translate business problems into technical solutions.
• Communicate findings and model performance to non-technical stakeholders.
• Research and Innovation:
• Stay updated with the latest advancements in AI and ML.
• Experiment with new algorithms and techniques.
• Propose innovative solutions to business problems.
• Documentation and Reporting:
• Document model development processes and methodologies.
• Create user guides and technical documentation.
• Report on model performance and project progress.
  
  

• Machine Learning Models:
• Trained and validated ML models.
• Model deployment scripts and integration guidelines.
• Documentation of model architecture and training processes.
• Data Pipelines:
• Data preprocessing and transformation pipelines.
• Feature engineering scripts.
• Documentation of data preparation steps.
• Performance Reports:
• Model performance metrics and evaluation reports.
• Hyperparameter tuning and optimization logs.
• A/B testing and validation results.
• Technical Documentation:
• User guides for deployed models.
• Technical documentation for model development and deployment.
• Maintenance and monitoring procedures.
  
  

• Seniority level Entry level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries IT Services and IT Consulting

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We are looking primarily for a skilled ML Engineer who has experience in building ML models, not just someone who has built the pipelines, but someone who understands how to tweak the algorithms and research how the strategies perform etc.

The perfect candidate for this position will have an engineering mindset, excellent problem solving and analytical skills and a strong mathematical background. You will be carrying out fundamental research, working directly with traders to research Alpha’s and understand their returns.

We’ll trust you:

- Apply a rigorous scientific method, advanced mathematical and statistical methods to build ML models for large datasets

- Perform alpha research, execution research and models performance optimization in close collaboration with Quants and Engineers

- Exploring and analysing existing and new datasets to create highly predictive features and insights

- Developing, backtesting, deploying, maintaining and monitoring different ML models

- Stay up to date with state-of-the-art technologies and tools including technical libraries, computing environments and academic research

We’re looking for:

- Advanced Degree from top-tier university (i.e. Mathematics, Physics, Computer Science, etc.) as well as similar experience in the field of Quantitative Finance

- Excellent knowledge of probability and statistics, including experimental design, predictive modeling, optimization and inference

- Solid understanding of ML fundamentals, workflows and how to deal with large data sets for analytical approach and quantitative methods

- Highly proficient in Math and DS with focusing on time series domain and personal achievements in any quantitative field or competition (Kaggle, hackathons, olympiads, academic competitions, etc.)

- Experience with ML predictive modeling tools, libraries and workflow platforms, such as LightGBM, TensorFlow, scikit-learn, XGBoost and MLFlow

- Strong interpersonal skills, ability to manage multiple tasks and thrive in a fast-paced team environment

What we offer:

• Good salary and great bonuses which depend on your results
• Impact the business/p&l directly
• Opportunity to collaborate directly with the foundersWork for a fast growing company with low staff turnover
• Become part of a team of the most talented developers, traders, and quants from top-tech universities (Olympiad winners)