Description
Description
To plan, build, optimise and implement innovative quantitative analytical methodologies, procedures, products and advanced mathematical models that provide analytical support and interpret insights, using advanced analytics technologies, to address business opportunities and problems and implement business strategy.
Hello, future Data Scientist III
We are seeking a highly skilled and innovative Data Scientist III to join our team. The ideal candidate will be proficient in Python and experienced in building and deploying machine learning models, Generative AI applications, and AI agents. This role requires a blend of deep technical expertise, practical deployment experience, and a passion for automation and intelligent systems.
Responsibilities
- Designed, tested, and deployed end-to-end machine learning and Generative AI models using Python and Azure Functions.
- Built classification models to optimise customer experience and interactions by enhancing resolution speed and customer satisfaction.
- Applied Natural Language Processing (NLP) to automate quality assurance processes and assess whether queries were resolved effectively.
- Evaluated model performance using appropriate metrics and continuously refined algorithms for accuracy and relevance.
- Collaborated with cross-functional teams to integrate AI solutions into business processes and improve operational efficiency.
- Prepared and analyzed data to support model development and business insights.
- Created dashboards, reports, and presentations to communicate findings to stakeholders.
- Ensured compliance with privacy regulations and internal governance frameworks.
- Mentored junior analysts and contributed to model governance and ethical data practices.
- Built models that analyse processes to recommend areas for optimisation to achieve cost savings, revenue generation or efficiency improvements for the business.
- Conducted data manipulation and analysis to proactively identify and meet business needs and to ensure high information quality and reliability across the business.
- Implemented machine learning algorithms and automation techniques using SAS or Python libraries.
- Utilised advanced predictive modelling techniques to derive insights into outcomes and future events affecting key assumptions.
- Reviewed and supported more Junior Data Scientists with processes and models.
We can be a match if you are
- Curious & courageous – driven by a desire to learn and take action, with engagement.
- Obsessed with mastery – committed to becoming proficient and continuously improving.
- A team player – believe in the power of teams and building networks.
- Emotionally intelligent – able to connect with people to build trust.
What we’re looking for
- Minimum qualification: A bachelor’s degree in Science, Mathematics and/or related field
- Preferred qualification: Honours degree
- Experience: A minimum of 6–8 years’ relevant experience in a Data Science or similar role.
- Proven experience deploying solutions in Microsoft Azure, including Azure Functions in Python.
- Advanced proficiency in Python (TensorFlow, PyTorch, Pandas, NumPy).
- Hands-on experience with Generative AI frameworks and AI agent development.
- Strong Natural Language Processing (NLP) skills for classification, sentiment analysis, and conversational AI.
- Strong proficiency in SQL is essential
- Familiarity with MLOps and cloud-native deployment strategies.
- Experience with Power Automate; Power BI is advantageous.
- Ability to build scalable data pipelines and integrate AI into business processes.
Job Details
Take note that applications will not be accepted on the date stated; kindly submit applications ahead of the closing date indicated below.
08 / 11 / 25
All appointments will be made in line with FirstRand Group’s Employment Equity plan. The Bank supports the recruitment and advancement of individuals with disabilities. In order for us to fulfill this purpose, candidates can disclose their disability information on a voluntary basis. The Bank will keep this information confidential unless we are required by law to disclose this information to other parties.