Data Scientist ( AI Specialist ) at FirstRand Bank India

Bellville, Western Cape, South Africa -

Full Time

Start Date

Immediate

Expiry Date

01 Mar, 26

Salary

0.0

Posted On

01 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Generative AI, Data Engineering, Deep Learning, ETL Processes, Cloud Platforms, Python, SQL, Machine Learning, Neural Networks, Data Storage Solutions, MLOps, Collaboration, Communication, Problem-Solving, Analytical Skills

Industry

Banking

Description

Job Description We are seeking a skilled AI Practitioner/Data Scientist with a deep specialization in Generative AI and a robust background in data. The ideal candidate will have hands-on experience in designing, developing, and deploying AI models with a focus on generative techniques. This role demands a strong understanding of data engineering principles, making the candidate well-equipped to handle the data pipeline challenges inherent in AI and data projects. GenAI Model Development: 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. Data Engineering: 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. Deployment and Scaling: 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. Collaboration and Communication: 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. Continuous Learning and Innovation: 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. Requirements 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). Technical Skills: 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 Soft Skills: A proactive attitude with a passion for learning and innovation. Excellent communication and teamwork abilities. Strong problem-solving and analytical skills. Preferred Qualifications and Certification 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. #Post #FNB #LI-AR4 Job Details Take note that applications will not be accepted on the below date and onwards, kindly submit applications ahead of the closing date indicated below. 07/12/25 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. Introduce yourself to our recruiters and we will get in touch if there's a role that seems like a good match. Should you have any queries, please log it via MyQ. FirstRand provides a comprehensive range of financial services in South Africa and certain markets in broader Africa. The group also offers certain niche products and services in the UK and India. Listed on the Johannesburg Stock Exchange (JSE) and the Namibian Stock Exchange (NSX), FirstRand Limited is the largest financial institution by market capitalisation in Africa. The group follows a multi-branding approach. Its portfolio of financial services businesses includes FNB, RMB, WesBank, Ashburton Investments, Aldermore, MotoNovo and DirectAxis. Many are leaders in their respective segments and markets, offering transactional, lending, investment and insurance products and services The FirstRand Corporate Centre houses many of the critical functions required by a large and complex financial services group. The group's track record of delivering superior returns to shareholders has been achieved through a combination of organic growth, acquisitions, innovation and the creation of completely new businesses. The group’s purpose of delivering Shared Prosperity provides many opportunities for employees to innovate to address social and environmental challenges in our markets. All of our businesses have successful Volunteering programmes which also allow employees to adopt and support causes close to their hearts.

Responsibilities

The Data Scientist will design, implement, and optimize AI models with a focus on generative techniques, while collaborating with data engineering teams to ensure data quality and availability. The role also involves deploying AI models in production environments and optimizing them for performance and cost efficiency.