FNB South Africa · 1 month ago
Data Scientist ( AI Specialist )
FirstRand Bank Limited is seeking a skilled AI Practitioner/Data Scientist with a deep specialization in Generative AI. The ideal candidate will design, develop, and deploy AI models while collaborating with cross-functional teams to align AI solutions with business objectives.
BankingCredit CardsCustomer ServiceDebit CardsFinancial ServicesLendingPaymentsPersonal FinanceWealth Management
Responsibilities
Design, implement, and optimize operational and analytical solutions utilizing Generative AI models
Develop and fine-tune RAG (Retrieval Augmented Generation) frameworks utilizing LLM frameworks such as LangChain, Llama-Index or other generative frameworks
Experiment with new architectures and techniques to push the boundaries of generative AI
Collaborate with data engineering/analyst teams to ensure the availability and quality of data needed for model training and validation
Design and maintain scalable data pipelines to handle large volumes of structured and unstructured data
Perform ETL tasks with to create optimal data-warehousing structures (Dimensional modelling) for optimal storage, ease of use and maintainability
Integrate data from various sources and ensure its proper storage, transformation, and accessibility
Deploy AI and generative AI models in production environments, ensuring they meet performance, scalability, and reliability requirements
Work with DevOps teams to automate the deployment and monitoring of AI models
Optimize model inference for performance and cost efficiency in cloud and on-premises environments
Collaborate with cross-functional teams, including data scientists, engineers, product managers, and business stakeholders, to align AI solutions with business objectives
Communicate complex AI concepts and findings to non-technical stakeholders
Stay up to date with the latest advancements in Generative AI and data engineering
Participate in conferences, workshops, and other professional development opportunities
Contribute to research publications and patent filings in the field of Generative AI
Qualification
Required
3+ years of experience in AI, with a focus on Generative AI (1-2 years)
Proven experience in data engineering, including data pipeline development, ETL processes, and database management
Hands-on experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and Generative AI frameworks
Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes)
Proficiency in programming languages such as Python, SQL, and familiarity with data manipulation libraries (e.g., Pandas, NumPy)
Strong knowledge of machine learning algorithms, neural networks, and generative models
Experience with data storage solutions (e.g., Hadoop, Spark, Vector databases)
Knowledge of MLOps practices, including model versioning, monitoring, and retraining
A proactive attitude with a passion for learning and innovation
Excellent communication and teamwork abilities
Strong problem-solving and analytical skills
Preferred
Bachelor's or master's degree in Computer Science, Data Science, Machine Learning, or a related field
Master's or Ph.D. is advantageous
Any of the following certifications are highly advised: AWS Certified AI Practitioner, AWS Certified Machine Learning, GCP Professional Machine Learning Engineer, GCP Associate Cloud Engineer, Microsoft Azure AI engineer, Microsoft Azure Data Science
Company
FNB South Africa
While ‘help’ constitutes a core brand value within FNB, we also practice an overall ethos underpinned by the concept of ‘better business; better world’.
H1B Sponsorship
FNB South Africa has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (1)
Funding
Current Stage
Late StageRecent News
2025-11-12
Company data provided by crunchbase