Data Scientist— LLM&AI Solutions for HR&Pricing, Johannesburg

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 impactfulenterprise solutions.

Key Responsibilities AI&Machine Learning Solutions

Design and implement LLM‑powered solutions for HR and commercial use cases.

Develop intelligent automation solutions for CV ingestion, candidate‑to‑role matching, and 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.

Data Engineering&Governance

Ensure pipelines are optimised, sustainable, and easy to debug.

Implement data quality checks and governance processes.

Monitor and improve operational analytics processes.

Reporting&Visualisation

Develop Power BI dashboards and executive‑ready business insights.

Translate complex datasets into strategic recommendations.

Development&Collaboration

Manage Git‑based workflows including pull requests, branch syncing, and merge conflict resolution.

Collaborate with technical and business stakeholders across HR, operations, and commercial teams.

Monitor APIs and data integrations where required.

Minimum Requirements Qualifications

Degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, 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

Machine Learning

NLP / Semantic Search

LLM Applications

Git / Version Control

API Monitoring

Statistical Modelling

Data Analytics&Reporting

Advantageous Skills

Azure AI Services

Generative AI frameworks

PySpark

Customer Analytics

Pricing Optimisation Models

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

Strong stakeholder engagement abilities

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