Data Scientist

GVW Group; Durbanville; On-site; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Flexible work arrangements

Career growth opportunities

Impactful projects

Job summary

GVW Group is seeking a Data Scientist to design and deploy AI-driven solutions. You will build predictive models, work with stakeholders to translate challenges into ML use cases, and prototype AI agents and copilots integrated into business processes.

Responsibilities include data modeling, experimentation, and documentation to ensure reproducible results. Targeted for candidates with strong Python/R skills and cloud/Azure experience.

Qualifications

• Master’s or Ph.D. in a quantitative field (statistics, economics, mathematics, CS) or 3–5 years of data science experience.
• Strong programming skills in Python or R with data wrangling and ML/AI work.
• Experience with cloud platforms (Azure) and AI tooling (Power Platform, Azure AI) is a plus.

Responsibilities

• Model complex problems using statistical, data mining, and ML techniques to generate business insights.
• Operationalize ML models and deploy AI solutions in production environments.
• Design end-to-end AI workflows and integrate with existing systems.
• Build and test AI agents/copilots for business processes and automation.
• Collaborate with cross-functional teams and document solutions for reproducibility.

Skills

Python

R

Azure

Education

Master’s or Ph.D in a quantitative field

Tools

Azure

Power BI

Microsoft Fabric

Job description

Data Scientist

Job Description

We are seeking a Data Scientist who combines strong analytical and modeling skills with hands-on AI solution development. In this role, you will build predictive models, evaluate complex datasets and design AI agents and automations that address real business problems. You will partner closely with business stakeholders to translate business challenges into actionable AI/ML use cases, quickly prototype solutions, and support their deployment into production environments.

Responsibilities

• Use statistical, data mining, algorithmic and visualization techniques to model complex problems, find opportunities, discover solutions, and deliver actionable business insights.
• Build and operationalize Machine Learning models (e.g. classification, forecasting, anomaly detection) using tools like Python, Fabric ML, or Azure ML.
• Design end-to-end AI workflows, from data inputs and prompts to integration points with existing systems
• Build and deploy rapid AI Solutions using tools such as Azure OpenAI, Microsoft Copilot, ChatGPT, or similar frameworks.
• Design and test conversational agents and copilots that integrate into business workflows.
• Develop and deploy RAG (retrieval-augmented generation) and prompt-engineered copilots embedded into business workflows.
• Collaborate with cross-functional teams to define project objectives, scope, and deliverables.
• Present findings and provide training to stakeholders and create technical documentation of solutions to ensure code quality and reproducibility.

Requirements

• Master’s or Ph.D degree in a quantitative field, i.e. statistics, economics, mathematics, computer science, or other related field OR
• 3- 5 years of work experience in a data science related field, with a proven track record of delivering successful projects and solving complex problems.
• Strong proficiency in programming languages such as Python or R, with experience in data manipulation, visualization libraries, machine learning and statistical analysis.
• Experience or completed coursework in cloud-based computing platforms like Azure. Certification in Microsoft Power Platform, Azure AI, or Applied Data Science a plus.
• Proficiency with generative AI tools and frameworks (e.g. ChatGPT, Azure OpenAI, Power Automate, Copilot Studio).
• Experience designing, configuring, or deploying AI Agents and Copilots to automate business processes or enhance user productivity.
• Familiarity with Power BI, Microsoft Fabric, or similar data platforms.
• Understanding of REST APIs, connectors, and integration methods.
• Working knowledge of ML lifecycle concepts, including data prep, training, evaluation, deployment.
• Strong analytical and problem-solving mindset.
• Ability to engage with business users, run workshops, and elicit requirements.
• Ability to translate technical outcomes into business value language.
• Experience working in the Automotive or Manufacturing Industry is a plus.

Why Join Us

• Opportunity to lead and shape the future of our data science department.
• Collaborative and inclusive work environment that fosters growth and development.
• Competitive compensation package with flexible work arrangements.
• Chance to make a meaningful impact by leveraging data-driven insights to drive business success.