Data Scientist, People & Culture, DIO
Standard Bank Group · Johannesburg, Gauteng
Stop applying one at a time.
JobAlertsZA auto-applies to South African jobs like this one for you, overnight. Upload your CV once — we do the applying.
Start free — we apply for you →Job Description
- 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.
Qualifications
Minimum qualifications
- Postgraduate qualification in Data Science, Statistics, Mathematics, Computer Science, Operations Research, Engineering, Econometrics or a related quantitative discipline.
Experience required
- 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.
- Experience within People & Culture, Workforce Analytics, Organisational Effectiveness or related domains would be highly advantageous.
Behavioural Competencies
- 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
Technical Competencies
- Data Analysis
- Database Administration
- Data Integrity
- Knowledge Classification
- Research & Information Gathering