Data Scientist - Specialist Machine Learning

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Johannesburg, Gauteng, ZAF
In-Office
Financial Services
The Role

Empowering Africa’s tomorrow, together…one story at a time.

With over 100 years of rich history and strongly positioned as a local bank with regional and international expertise, a career with our family offers the opportunity to be part of this exciting growth journey, to reset our future and shape our destiny as a proudly African group.

Job Summary

5 years experience in data science - machine learning role. Responsible for designing, developing, and deploying cutting-edge Machine learning, AI and generative AI models, driving innovation. BSc Computer Science, Masters in Data Science advantage

Job Description

Key accountabilities

  • Develop machine learning and AI solutions for integration with business processes and systems

  • Deploy solutions into production on cloud platforms (Databricks\AWS)
  • Focus on increasing personalization, optimizing cross-sell strategies, and improving customer retention using advanced data science techniques.
  • Work closely with Marketing, Product, and Strategy teams to develop AI-driven solutions that enhance customer experiences, automate decision-making, and improve operational efficiencies.
  • Explore Generative AI applications to create hyper-personalized content, automate insights generation, and enhance customer interactions.
  • Build AI models to enhance customer targeting, personalization, and engagement across digital and traditional marketing channels.
  • Leverage predictive analytics to identify upsell and cross-sell opportunities, improve customer lifecycle value, and develop strategies to reduce churn.
  • Implement AI-driven automation, recommendation engines, and process optimization techniques to streamline marketing and customer engagement workflows.
  • Develop Generative AI models to create personalized customer interactions, automated reporting, and marketing content at scale.
  • Explore LLM-powered chatbots, text summarization, and campaign content generation for enhanced efficiency.
  • Apply advanced analytics to improve campaign targeting, performance tracking, and ROI measurement.
  • Design controlled experiments to optimize marketing effectiveness and validate AI-driven strategies.
  • Proficiency in Python, SQL, and machine learning frameworks (Scikit-Learn, TensorFlow, PyTorch).
  • Experience with Generative AI models (LLMs, Transformers, Diffusion Models) and Natural Language Processing (NLP).
  • Strong knowledge of Databricks, PySpark, and cloud-based AI/ML services (Databricks\AWS).
  • Hands-on experience with customer segmentation, retention modeling, and cross-sell/upsell analytics.
  • Experience applying AI/ML in campaign performance tracking, personalization, and automation.
  • Ability to translate complex data insights into actionable business strategies.
  • Strong collaboration and communication skills to engage non-technical stakeholders.
  • Passion for AI-driven customer experiences, digital transformation, and marketing innovation.

Education

Bachelor`s Degrees and Advanced Diplomas: Manufacturing, Engineering and Technology

Absa Bank Limited is an equal opportunity, affirmative action employer. In compliance with the Employment Equity Act 55 of 1998, preference will be given to suitable candidates from designated groups whose appointments will contribute towards achievement of equitable demographic representation of our workforce profile and add to the diversity of the Bank.

Absa Bank Limited reserves the right not to make an appointment to the post as advertised

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The Company
HQ: Johannesburg
39,055 Employees
Year Founded: 2018

What We Do

Absa Group Limited (Absa) has forged a new way of getting things done, driven by bravery and passion, with the readiness to realise growth on the African continent and beyond. We’re a truly African brand, inspired by the people we serve in Botswana, Ghana, Kenya, Mauritius, Mozambique, Seychelles, South Africa, Tanzania, Uganda, and Zambia. We also have representative offices in China, Namibia, Nigeria and the United States, as well as securities entities in the United Kingdom and the United States, along with technology support colleagues in the Czech Republic.

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