RGM Data Science Lead — Revenue Growth Analytics

PwC South Africa; Johannesburg; Hybrid; ZAR 1,000,000 - 1,600,000; Full time

Job summary

PwC South Africa is seeking a Revenue Growth Management Data Science Manager to lead advanced analytics, ML, and commercial modelling for revenue growth, pricing, promotions, and assortment decisions. You will collaborate with commercial, sales, finance, and data teams to translate data into strategic recommendations and scalable solutions.

The role requires strong data science expertise combined with commercial insight to drive opportunities, improve decision-making, and optimise revenue and

Qualifications

• Experience in data science, analytics, and commercial modelling.
• Ability to translate complex data into actionable recommendations.
• Experience leading data science and RGM workstreams.

Responsibilities

• Lead analytics across pricing, promotions, product mix, and assortment.
• Develop models for price elasticity, promotional effectiveness, and margin impact.
• Identify revenue and profitability opportunities across products, channels, customers, and markets.
• Support pricing and promotional strategies based on consumer behavior, competition, and objectives.
• Evaluate trade investment and promotional spend to optimise ROI.
• Create scenario models to assess pricing and portfolio decisions.
• Translate findings into clear recommendations for executives.

Skills

Revenue Growth Management

Data Science

Pricing strategy

Forecasting

Tools

Python

R

SQL

Power BI

Tableau

Azure

AWS

GCP

Databricks

Snowflake

Job description

PwC South Africa is seeking a Revenue Growth Management Data Science Manager to lead advanced analytics, ML, and commercial modelling for revenue growth, pricing, promotions, and assortment decisions. You will collaborate with commercial, sales, finance, and data teams to translate data into strategic recommendations and scalable solutions.

The role requires strong data science expertise combined with commercial insight to drive opportunities, improve decision-making, and optimise revenue and