Nedbank Uncovers South Africa’s Top Data Talent Through National Analytics Challenge

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- Otinga.io, the AI-powered innovation partner that helps enterprises run structured hackathons and innovation programmes, today announced the conclusion of the Nedbank N*ovation Data & Analytics Masters, a national programme designed to identify and fast-track South Africa’s top data and engineering practitioners into a real hiring pathway.

The challenge drew over 1,200 registrations, culminated in an invite-only finale at Nedbank’s headquarters in Johannesburg, and offered a prize pool of more than R500,000. According to Nedbank, the investment in the Masters Data Challenge is rooted in its ambition to become a data-led, AI-enabled bank, critically due to the skills shortages and global demand of essential skills in the technology sector.

While technical talent go offshore, the Nedbank programme focuses on homegrown talent by offering a workable, replicable model for large South African enterprises: invest deliberately in finding, growing and amplifying local practitioners using a performance-based mechanism that surfaces capability beyond traditional recruitment channels.

“The Masters Data Challenge is part of a broader, long-term effort to build a sustainable data and analytics organisation, rather than a once-off initiative,” John Donnelly, Group Chief Data & Analytics Officer at Nedbank said. “In essence, this is about building the foundations first: data, platforms and talent, so that AI can scale meaningfully and responsibly.”

“Too many corporate conversations about ‘skills’ still end in importing capability or pushing critical work offshore,” said Francois van der Merwe, Founder and CEO of Otinga.io. “Nedbank did something more strategic: it put real stakes behind local capability. Real data, a serious prize pool, and a clear hiring pathway. For us, it means that an enterprise deciding that South African talent is world-class, and acting accordingly.”

The competition ran in two tracks: a Machine Learning / Data Science track hosted on Zindi, where participants predicted the next three months of customer transaction value using real anonymised Nedbank data; and a Data Engineering track hosted on Otinga’s platform, designed as an evolving, production-style pipeline challenge that tested maintainability, scalability and efficiency under changing requirements.

In total, 50 finalists were selected for the in-person finale, which included reverse-mentoring rotations with Nedbank data leaders, a ‘Rescue This Failing Project’ team challenge, and talks from Prenton Chetty from Nedbank, Lee-Anne James from Microsoft, and Barbara Fourie from OfferZen and Leonardo dos Passos from Cars.co.za. The format reinforced the programme’s positioning as capability-building rather than a once-off event. Top performers received letters on the day as part of the hiring pathway.

Winners were announced across two tracks: a Data Science & Machine Learning track; and a Data Engineering track.

Nedbank said the calibre of participants confirmed that South Africa has a strong and diverse data and analytics talent base. “What stood out was the ability to work with complex, real-world datasets, strong thinking around data quality, feature engineering and interpretation, and a clear focus on business relevance and impact, not just technical outputs,” Nedbank said.

Jason Lu, VP Marketplace at OfferZen, said the calibre of South Africa’s senior technology talent is strong and increasingly globally competitive, but that the definition of a world-class senior practitioner has shifted. “Today, South African senior engineering and data practitioners are expected to go beyond writing code or building models. They’re increasingly involved in shaping architecture decisions, system design and product direction, particularly as AI tools take on more of the routine implementation work,” he said. “With AI now embedded in day-to-day workflows across most teams, senior engineers are spending more time on higher-order problem solving and less on repetitive coding tasks.”

Lu said performance-based challenges point to a more evidence-led approach to hiring. “Traditional recruitment that is reliant on keyword-heavy CVs and rigid background checks is no longer sufficient to identify top-tier talent in an AI-driven world. When a prestigious financial institution like Nedbank runs a hackathon like this one, it proves that the local hiring appetite is leaning heavily into verified technical capability, problem-solving under pressure and ability to collaborate.”

Megan Yates from Zindi said South African practitioners consistently rank among the strongest performers across the Zindi ecosystem. “The Nedbank Transaction Volume Forecasting Challenge reinforced that strength. The calibre of competitors and solutions we saw was comparable to top-tier global competition standards, particularly in the way competitors combined deep machine learning expertise with practical, production-oriented thinking around forecasting, validation strategies, feature engineering and complex transactional banking data.”

Yates said challenges like this also reveal talent that conventional hiring can miss. “A challenge like this reveals applied capability in a way a CV simply cannot, because everyone starts with the same dataset and problem statement and is judged purely on their ability to solve the problem,” she said. “It allows employers to identify high-potential talent based on real-world skills, creativity and performance under pressure rather than just credentials or previous employers.”

The programme was delivered with multiple partners, each contributing to credibility, reach and execution:

Nedbank as the lead client, data provider, venue host, prize funder and hiring authority;
Otinga as the facilitation and platform partner, structuring the Data Engineering track and supporting the end-to-end challenge design;
OfferZen supporting talent-market connection into hiring pathways;
Zindi hosting the Machine Learning / Data Science track;
Microsoft as technology partner and event sponsor.

"As Nedbank continues its journey to becoming a data-led, AI-enabled bank, programmes such as the N*ovation Data & Analytics Masters will remain an important part of building the skills, innovation and leadership needed to shape the future of banking in South Africa," concluded Thando Lukhele, Divisional Executive: HR &Ops at Nedbank.

Nedbank Uncovers South Africa’s Top Data Talent Through National Analytics Challenge

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