Data Scientist, People & Culture, DIO

Posted Yesterday
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Johannesburg, City of Johannesburg, Gauteng, ZAF
In-Office
Senior level
Financial Services
The Role
Develop and operationalise predictive models, Generative AI and advanced analytics using Microsoft Fabric and Azure to produce workforce insights. Partner with People & Culture and stakeholders to create production-ready data products that inform workforce planning, talent and skills strategies while applying Responsible AI principles.
Summary Generated by Built In
Company Description

Standard Bank Group is a leading Africa-focused financial services group, and an innovative player on the global stage, that offers a variety of career-enhancing opportunities – plus the chance to work alongside some of the sector’s most talented, motivated professionals. Our clients range from individuals, to businesses of all sizes, high net worth families and large multinational corporates and institutions. We’re passionate about creating growth in Africa. Bringing true, meaningful value to our clients and the communities we serve and creating a real sense of purpose 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

Additional Information

 

    Skills Required

    • Postgraduate qualification in Data Science, Statistics, Mathematics, Computer Science, Operations Research, Engineering, Econometrics or related quantitative discipline
    • 5-8 years experience in Data Science, Advanced Analytics or Machine Learning with demonstrated experience developing and operationalising ML solutions in cloud environments
    • Experience working with Microsoft Fabric, Azure and modern enterprise data platforms
    • Experience building predictive models and workforce intelligence products for talent, skills, succession, productivity and workforce planning decisions
    • Experience leveraging Microsoft Fabric, OneLake, Power BI and Azure AI services to create scalable, production-ready solutions
    • Experience developing and deploying advanced analytics, machine learning and Generative AI solutions
    • Ability to communicate complex analytical concepts to senior business stakeholders and deliver measurable business impact
    • Apply Responsible AI principles ensuring solutions are ethical, explainable, secure and compliant
    • Experience within People & Culture, Workforce Analytics, Organisational Effectiveness or related domain

    Standard Bank Group Compensation & Benefits Highlights

    The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Standard Bank Group and has not been reviewed or approved by Standard Bank Group.

    • Leave & Time Off Breadth Leave options span vacation, study, parental, compassionate/family responsibility, sick/short‑term incapacity, sabbatical, recognition and optional unpaid leave, subject to country practices. This breadth provides flexibility to manage family, study, health, and rest needs.
    • Healthcare Strength Core protection includes medical cover and death/incapacity insurance, with many markets offering permanent health insurance and optional life/funeral or gap‑cover add‑ons. Wellness and counselling programs further strengthen day‑to‑day health support.
    • Fair & Transparent Compensation Formal remuneration materials emphasize equal pay for work of equal value, structured market alignment, and pay‑equity analyses alongside clawback/forfeiture provisions. This governance signals predictable, fairness‑oriented pay practices.

    Standard Bank Group Insights

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    The Company
    HQ: Johannesburg
    63,856 Employees
    Year Founded: 1862

    What We Do

    As a brand with a legacy of 161 years in Africa, we have a deep understanding and belief in the boundless opportunities that this continent presents. Our vision extends beyond mere geography; it encompasses a profound recognition of the potential for growth that resonates within our people, customers, entrepreneurs, and all who share our unwavering commitment and passion for investing in Africa. With a presence in 20 countries across sub-Saharan Africa, we have cultivated a diverse community of the most skilled, innovative, and creative minds in the industry. Our purpose is to drive Africa's growth, acting as a catalyst for inclusive and sustainable economic development in the regions we serve. We strive to improve the lives of our fellow Africans by conducting business in an ethical and responsible manner. As a trusted partner, we consistently set higher standards and aspire to become better with each endeavour. We are more than just a banking institution; we are a driving force behind Africa's growth. Join us on this transformative journey. Together, we have the collective power to propel Africa into the future, making tangible progress for all who proudly call Africa home.

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