Data Scientist

Gvw Group, Llc; South Africa; On-site; ZAR 600,000 - 1,100,000; Full time

Job summary

Gvw Group, Llc is seeking a Data Scientist to build predictive models and develop AI solutions. You will translate business challenges into AI/ML use cases, prototype solutions quickly, and support deployment into production environments.

This role sits at the intersection of data science, generative AI, and practical solution-building, collaborating with stakeholders to deliver measurable business value.

Qualifications

• Master’s or Ph.D degree in a quantitative field or 3–5 years of data science experience.
• Strong programming in Python or R with data manipulation and ML experience.
• Experience with cloud platforms like Azure and generative AI tools; certification is a plus.

Responsibilities

• Model complex problems using statistical and ML methods and deliver actionable insights.
• Develop and operationalize ML models (classification, forecasting, anomaly detection).
• Design end-to-end AI workflows from data to deployment in production environments.
• Build and deploy rapid AI solutions using Azure OpenAI, Copilot Studio, or similar tools.
• Create conversational agents and copilots integrated into business processes.
• Develop RAG and prompt-engineered copilots for business workflows.
• Collaborate with cross-functional teams to define objectives and deliverables.
• Present findings and provide training; document solutions for reproducibility.

Skills

Python

R

Azure

Power BI

Data visualization

Education

Master's or Ph.D in a quantitative field

Tools

Azure ML

Fabric ML

Power Automate

Copilot Studio

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 automation 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.

Reponsibilities:

• 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.Ddegree 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.
• Experienceor 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.