Senior Data Scientist - Financial Services

ATS Client; Johannesburg; On-site; ZAR 850,000 - 1,200,000; Full time

Job summary

ATS Client, a world leader in data science and AI, is seeking a senior analytics professional in Johannesburg to lead end-to-end data projects for major financial institutions.

You will apply advanced statistics and ML to large datasets, mentor junior colleagues, and shape innovative solutions that translate technical insights into measurable business impact.

Responsibilities

• Lead end-to-end analytical workstreams: design, frame, and deliver analytics solutions across the lifecycle.

Job description

Overview

Our client is a world leader in data science and artificial intelligence, operating globally with over 1,200 experts across more than a dozen locations. They partner with the world's largest corporations to unlock immense value from data. Their Financial Services practice in South Africa is at the forefront of sector innovation, collaborating with leading financial institutions to drive transformative outcomes and completely reshape how banks understand and serve their customers.

Performance Objectives for Year One

• Lead end-to-end analytical workstreams: Successfully design, frame, and deliver sophisticated analytics solutions that solve complex financial business problems, owning the lifecycle from initial problem framing through to full technical implementation.
• Drive technical innovation at scale: Apply advanced statistical methods and machine learning techniques to massive datasets, systematically reducing iteration cycles from weeks to hours by leveraging the latest AI capabilities.
• Bridge the gap between data and business: Develop and maintain trusted partnerships with key client stakeholders, proving the ability to translate complex technical concepts into actionable business insights that drive measurable commercial outcomes.
• Elevate team capabilities: Actively mentor junior team members and contribute to the internal analytics community, fostering a culture of knowledge sharing and technical excellence.
• Shape future solutions: Support business development and influence how financial institutions leverage data by providing thought leadership and innovative solution designs.