Data Scientist, People & Culture, DIO at Standard Bank Group

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