Overview
To plan, build, optimise and implement innovative quantitative analytical methodologies, procedures, products and advanced mathematical models that provide analytical support and interpret insights, to address business opportunities and problems and implement business strategy, with minimal guidance.
Candidate Profile
Future Data Scientist II with a strong focus on deploying solutions into Microsoft Azure. Proficient in Python and experienced in building and deploying machine learning models, Generative AI applications, and AI agents.
Key Responsibilities
- Has 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.
- Able to apply Natural Language Processing (NLP) to automate quality assurance processes and assess whether queries were resolved effectively.
- Evaluates model performance using appropriate metrics and continuously refining algorithms for accuracy and relevance.
- Collaborates with cross-functional teams to integrate AI solutions into business processes and improve operational efficiency.
- Prepares and analyzes data to support model development and business insights.
- Creates dashboards, reports, and presentations to communicate findings to stakeholders.
- Ensures compliance with privacy regulations and internal governance frameworks.
- Mentors junior analysts and contributes to model governance and ethical data practices.
What We’re Looking For
Minimum qualification : A bachelor's degree in Science, Mathematics and / or related field.Experience : A minimum of 4–5 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 level of proficiency in SQL is essential.Familiarity with MLOps and cloud‑native deployment strategies.Experience with Power Automate; Power BI is an advantage.Ability to build scalable data pipelines and integrate AI into business processes.Why Join Us
We value curiosity, mastery, teamwork, and emotional intelligence. Join a team that encourages engagement and innovation.
Application Deadline
Applications will not be accepted on or after 30 / 10 / 25. Kindly submit applications ahead of the closing date indicated above.
Equal Opportunity Statement
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. Candidates may disclose disability information voluntarily; the Bank will keep this information confidential unless law requires disclosure.
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