Data Scientist, People & Culture, Dio

Job Facts

Employer Standard Bank
Location Gauteng Johannesburg Johannesburg, GP, South Africa
Closing Date 02 Sept 2026
Posted 15 August 2026
Industry Financial Services, Banking

Minimum Requirements

  • 5-8 years experience in Data Science, Advanced Analytics or Machine Learning, with demonstrated experience developing and operationalising machine learning solutions in cloud environments.
  • Must have experience working with Microsoft Fabric, Azure and modern enterprise data platforms.
  • Track record delivering business impact through AI, predictive analytics and advanced modelling with the ability to communicate complex analytical concepts to senior business stakeholders.
  • Develop and deploy advanced analytics, machine learning and Generative AI solutions to address strategic workforce challenges.
  • Build predictive models and workforce intelligence products that support talent, skills, succession, productivity and workforce planning decisions.
  • Leverage Microsoft Fabric, OneLake, Power BI and Azure AI services to create scalable, production-ready solutions.
  • Transform large and complex workforce datasets into actionable insights, compelling narratives and executive decision support.
  • Apply Responsible AI principles, ensuring solutions are ethical, explainable, secure and compliant.
  • Partner with People & Culture and business stakeholders to identify opportunities where data science and AI can improve workforce outcomes and employee experiences.
  • Contribute to the evolution of the Workforce Insights function by introducing leading practices in AI, analytics and decision intelligence.
  • within People & Culture, Workforce Analytics, Organisational Effectiveness or related domains would be highly advantageous.
  • Adopting Practical Approaches
  • Articulating Information
  • Challenging Ideas
  • Checking Things
  • Examining Information
  • Exploring Possibilities
  • Interacting with People
  • Interpreting Data
  • Meeting Timescales
  • Producing Output
  • Providing Insights
  • Team Working
  • Data Analysis
  • Database Administration
  • Data Integrity
  • Knowledge Classification
  • Research & Information Gathering

Responsibilities

  • We are looking for an experienced Data Scientist to join our Workforce Insights team, where you will help transform how the organisation understands, plans and develops its workforce.
  • In this role, you will apply advanced analytics, machine learning, Generative AI and modern data science techniques to solve complex workforce challenges. Leveraging Microsoft Fabric, Azure AI and large-scale people data, you will develop predictive models, AI-enabled solutions and actionable insights that support workforce planning, skills intelligence, talent management, organisational effectiveness and employee experience.
  • Working closely with People & Culture, business leaders, data engineers and technology teams, you will translate business challenges into scalable analytical products that drive evidence-based decision making and unlock measurable business value.