About this 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
We are looking for a Senior Data Scientist to join the Personal and Private Banking Data Science team at Absa Bank. As a Senior Data Scientist, you will become a collaborator within a team of specialist data scientists aiming to help Absa discover the insights hidden in its vast amounts of data and help enable smarter decisions to deliver better products and services and shape business strategy. You will be expected to take on the most complex artificial intelligence projects, as well as provide technical mentoring and coaching for junior team members.Job Description
Key Responsibilities:
Work with large-scale structured and unstructured datasets using modern data platforms (e.g. Databricks, AWS, other cloud-based environments).
Design, build, and deploy high-quality machine-learning models and applied AI solutions (including large language models) to drive strategic and competitive advantage, ensuring robustness, governance, and interpretability.
Partner with stakeholders across business, product, marketing, risk, strategy and technology teams to help translate their challenges into actionable data science models and embed insights into decision-making processes and strategy.
Partake in data science community of practice in the broader organisation by sharing knowledge and skills
Mentor junior data scientists and contribute to best practices in analytics, modelling, and storytelling.
Minimum Experience and Skills Requirements
7+ years’ experience in data science or advanced analytics
Deep knowledge of machine learning methods, principles and frameworks
Strong programming and data querying skills (SQL, PySpark, Python)
Machine Learning: Scikit-learn, PyTorch, PyCaret, etc.
Hadoop Big Data Platform: Spark, hdfs, hive, etc
Python Tools: pytest, conda, poetry etc
DevOps: Git (GitHub), bash, ssh, CI/CD Pipelines
Cloud: DataBricks, AWS
Presentation skills: ability to efficiently present data and ML models insights to a non-technical audience
Team Skills: guiding junior team members, defining and maintaining team standards
Experience delivering end-to-end analytical solutions in a complex, data-rich environment (financial services experience is advantageous).
Education:
Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, Data Science, Physics, or a related quantitative field.
Postgraduate qualification (Honours / Master’s) in Data Science is advantageous.
Education
Bachelor's Degree: Information TechnologyAbsa 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
Other facts
About Absa Group
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.
What you'll do
- The Senior Data Scientist will work with large-scale datasets to design, build, and deploy machine-learning models and AI solutions. They will collaborate with various stakeholders to translate challenges into actionable data science models and mentor junior team members.
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