AI & ML Data Scientist: LLMs, Analytics & BI
Summary
Design and deploy LLM-powered HR and commercial analytics solutions using Python, MLflow, and Power BI to automate decision-making and reporting.
Johannesburg, South Africa | Posted on 05/21/2026
Our client is looking for an innovative and commercially minded Data Scientist to design and implement AI and machine learning solutions that enhance HR and commercial decision-making.
The successful candidate will work across advanced analytics, LLM-powered applications, semantic search, pricing analytics, anomaly detection, automation, and executive reporting solutions within a modern cloud-based analytics environment.
This role combines AI innovation, machine learning engineering, analytics, and business intelligence to deliver impactful enterprise solutions.
Key Responsibilities
AI & Machine Learning Solutions
- Design and implement LLM-powered solutions for HR and commercial use cases.
- Candidate-to-role matching
- Semantic search capabilities
- Train, deploy, and manage ML models using MLflow.
- Analyse model performance and business impact.
Advanced Analytics
- Develop advanced pricing and discount analytics models.
- Perform elasticity modelling and customer segmentation analysis.
- Conduct operations anomaly detection and proactive risk reporting.
- Build AI-driven survey analytics applications.
- Ensure pipelines are optimised, sustainable, and easy to debug.
- Implement data quality checks and governance processes.
- Monitor and improve operational analytics processes.
- Develop Power BI dashboards and executive-ready business insights.
- Translate complex datasets into strategic recommendations.
Manage Git-based workflows including:
- Pull requests
- Branch syncing
- Collaborate with technical and business stakeholders across HR, operations, and commercial teams.
- Monitor APIs and data integrations where required.
Qualifications
Degree in:
- Data Science
- Computer Science
- Statistics
- Mathematics
- or related field
Experience
- 3–5 years’ experience in Data Science or Machine Learning roles.
- Experience building AI/LLM-powered solutions.
- Hands‑on experience with MLflow and Databricks.
- Strong analytical and statistical modelling experience.
- Experience with Power BI and data visualisation.
- Exposure to semantic search and NLP solutions advantageous.
Technical Skills
- Python
- SQL
- Databricks
- MLflow
- Power BI
- NLP / Semantic Search
- LLM Applications
- API Monitoring
- Data Analytics & Reporting
Advantageous Skills
- Generative AI frameworks
- PySpark
- Customer Analytics
- Cloud-based analytics platforms
Soft Skills
- Strong commercial acumen
- Excellent analytical thinking
- Strong communication and presentation skills
- Problem-solving mindset
- Ability to work in fast-paced environments