Data Scientist

GVW Group; Durbanville; On-site; ZAR 650,000 - 1,050,000; Full time

Job summary

GVW Group is seeking a Data Scientist who blends strong analytics with hands-on AI solution development. You will build predictive models, evaluate complex datasets, and design AI agents to address real business problems, translating challenges into actionable ML use cases and quickly prototyping solutions.

This role sits at the intersection of data science, generative AI, and practical solution-building, with opportunities to deploy in production and collaborate across teams.

Qualifications

• Master’s or Ph.D in a quantitative field (statistics, economics, mathematics, CS)
• 3–5 years of work experience in a data science-related field with a track record of delivering projects
• Proficiency in Python or R with data manipulation, visualization, ML and statistical analysis
• Cloud platforms experience (Azure); certifications in Microsoft Power Platform or Azure AI are plus
• Proficiency with generative AI tools (ChatGPT, Azure OpenAI, Copilot Studio)
• Experience designing or deploying AI Agents and Copilots to automate business processes
• Familiarity with Power BI and Microsoft Fabric or similar data platforms
• Understanding of REST APIs, connectors, and integration methods
• Working knowledge of ML lifecycle: data prep, training, evaluation, deployment
• Strong analytical and problem-solving mindset
• Ability to engage with business users, run workshops, elicit requirements
• Experience in Automotive or Manufacturing is a plus

Responsibilities

• Model complex problems using statistical, data mining, and visualization techniques
• Build and operationalize ML models (classification, forecasting, anomaly detection) using Python, Fabric ML, or Azure ML
• Design end-to-end AI workflows from data inputs to system integration
• Develop rapid AI solutions with Azure OpenAI, Copilot Studio, or similar tools
• Create conversational agents and copilots integrated into business workflows
• Develop and deploy RAG and prompt-engineered copilots
• Collaborate with cross-functional teams to define objectives, scope, and deliverables
• Present findings and provide stakeholder training; document solutions for reproducibility

Skills

Python

R

Azure ML

Power BI

ML lifecycle

Data modeling

Stakeholder collaboration

Generative AI

Communication

Education

Master’s or Ph.D in quantitative field

3–5 years data science experience

Tools

Azure OpenAI

Fabric ML

Python

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.

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.

This role is ideal for someone who thrives at the intersection of data science, generative AI, and practical solution-building.

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.