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Senior Data Scientist

1001 Absa Bank

South Africa · On-site Full-time Senior 1w ago

About the role

About

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

To provide specialist advice and support on data analyst delivery, methods and techniques; enabling the construction, maintenance and expansion of data analysis. Apply data mining techniques, statistical analysis, and building high quality machine learning models integrated with our business decisions e.g., products, sales and customer experience delivery. The role will be a senior agile collaborator within a team of specialist data scientists to help Absa discover the insights hidden in its vast amounts of data, and help enable smarter decisions to deliver better products and services. The senior data scientist will be expected to take on the most complex projects and also provide technical mentoring and coaching for other team members.

Key accountabilities

  • Solve key challenges with data linkage and digitization by exploring opportunities in disruptive new technology to grow a data-centric culture.
  • Building both predictive and prescriptive machine learning models that will assist with increasing strategic and competitive advantage.
  • All solutions must meet minimum criteria in terms of commercial uplift or increases in efficiencies.
  • Partner with internal as well as third party providers of data to expand available datasets
  • Provide mentoring to junior team members, through planned interventions as well as by providing guidance on the job by partnering with junior team members
  • Ensure that all applicable data risk management standards and policies are adhered too, and also play an active role in the creation, implementation, and maintenance of robust model governance to ensure uniformity and scale of all data models produced.
  • Partner with business to solve challenges through data science and also actively partake in the creation of a data science community in the broader organisation by sharing knowledge and skills.

Education

  • Bacharelato com Distinção: Matemática, Física, informática e Ciências da Vida
  • Bacharelato e Diplomas Avançados: Estatísticas

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

At Absa, our story is not a single narrative. It’s thousands of individual journeys unfolding across Africa and beyond. From colleagues serving customers in local communities to teams shaping financial solutions across borders, Absa is built on people who bring their lived experiences, ambitions and perspectives into the workplace every day. Whether you’re starting your career, a seasoned leader or somewhere in between, your contribution is seen, valued and connected to something bigger. Our presence across Africa – which spans personal and business banking, corporate and investment banking, wealth and investment management, and insurance – exists because of the people who show up in their roles with purpose. Across Botswana, Ghana, Kenya, Mauritius, Mozambique, Seychelles, South Africa, Tanzania, Uganda and Zambia, our colleagues are shaping what Absa becomes in each market. Beyond the continent, teams in global offices and a technology hub support and extend the stories that prove that African talent can lead, influence and innovate on the global stage. At Absa, your story matters because progress is driven by human experience, not hierarchy. When people are enabled to bring their whole selves to work, they don’t just build careers. They help shape the future of Africa’s financial services landscape.

Skills

machine learningdata miningstatistics

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