FNB is seeking a seasoned Data Scientist to join its Johannesburg-based team. This role is pivotal in driving the bank’s digital transformation, focusing on the development and implementation of advanced mathematical models, machine learning algorithms, and predictive analytics that directly influence business strategy and operational efficiency.

About the role

This position is designed for a strategic thinker who can bridge the gap between complex technical data and actionable business outcomes. You will not only be responsible for building sophisticated models but also for ensuring these solutions integrate seamlessly into the bank’s broader technological architecture.

The successful candidate will operate at the intersection of innovation and governance. While the role requires high-level programming and analytical dexterity, it also demands a rigorous approach to data ethics, privacy compliance, and legislative standards. You will be expected to act as a subject matter expert, guiding the organisation through AI and platform-driven change initiatives that enhance customer experiences and drive revenue growth.

Your daily responsibilities will involve a mix of hands-on data manipulation and high-level stakeholder engagement. Key focus areas include:

• **Model Development:** Utilising open-source platforms like R and Python to build, deploy, and maintain machine learning algorithms and deep learning models.
• **Strategic Collaboration:** Working closely with product managers and engineers to identify business opportunities, solve enterprise-level problems, and recommend process optimisations.
• **Data Integrity & Governance:** Ensuring all analytical procedures adhere to privacy guidelines and institutional policies, while conducting audits to maintain model relevance.
• **Mentorship:** Fostering a culture of knowledge sharing by mentoring junior analysts and participating in specialist communities to drive organisational learning.
• **Visualisation & Reporting:** Translating intricate datasets into clear, graphical insights that can be presented to diverse audiences, including senior management.

What they're looking for

FNB is looking for a professional who combines academic rigour with extensive practical experience. To be considered for this position, you should possess:

• **Academic Background:** A minimum of a Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, Engineering, Econometrics, Physics, or Actuarial Science. An Honours or Master’s degree is highly preferred.
• **Professional Experience:** At least 5 years of experience in a senior data science capacity, with 1 to 2 years of experience in a junior or entry-level management role.
• **Technical Proficiency:** A proven track record in AI implementation, process automation, data wrangling, and the application of advanced statistical techniques.
• **Soft Skills:** Strong communication and stakeholder management abilities, a passion for emerging technology, and a collaborative mindset that promotes teamwork across regional and global departments.

Practical context for applicants

Roles of this calibre within South Africa’s "Big Four" banks typically attract competitive remuneration packages, often starting in the high-six-figure range and extending into the millions for top-tier candidates, depending on specific technical specialisations and years of experience. Beyond the base salary, these positions usually include comprehensive benefits such as performance-based bonuses, medical aid, and pension contributions.

As a Data Scientist at a major financial institution, you are positioned on a high-growth career path that often leads into leadership roles such as Head of Data, Chief Data Officer, or specialized roles in AI strategy. Given the focus on Employment Equity within the FirstRand Group, candidates should ensure their applications highlight both their technical expertise and their commitment to inclusive, ethical data practices.

Qualifications

• Minimum qualification: B. Degree Mathematical Sciences, Statistics, Engineering, Computer Science, Econometrics, Physics or Actuarial Science
• Preferred qualifications: Honours/Master’s Degree

Experience and Skills

• 5+ years’ experience in a Senior Data Science role in a data environment, of which 1 to 2 years ideally at a at junior entry management level
• Previous experience with AI or platform-driven change initiatives is highly desirable.
• Proven history of successful AI and process automation implementation.
• Strong skills in stakeholder management, communication, and problem-solving.
• Demonstrated ability to deliver advanced analytics and AI solutions, solving client issues with data-driven advice.
• Proven proficiency in data management, advanced analytics, artificial intelligence, technology platforms, and awareness of emerging industry trends.
• Promotes effective teamwork and collaboration between global and regional teams to accomplish common objectives
• Has a strong interest in advanced analytics and technology, with a passion for leveraging tech-driven solutions
• Shows a keen interest in learning about emerging technologies, applications, and creative solutions, approaching each with curiosity and enthusiasm

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Important Closing Date Note

Take note that applications will not be accepted on the below date and onwards, kindly submit applications ahead of the closing date indicated below.