Data Scientist (Generative AI & ML)

Banking

Data Scientist (Generative AI & ML)

Location: Gauteng

- Hybrid

Salary: Competitive (because you’re worth it)

Data Scientist (Generative AI and Machine Learning Maestro!)

Sector: Financial Services Consulting (Banking-heavy)

Your mission, should you choose to accept it

We are partnering with a leading management consulting firm thats at the forefront of AI innovation in financial services. Theyre looking for a Data Scientist with deep expertise in Generative AI and Machine Learning to help design, build, and scale cutting-edge AI-powered applications.

This role is ideal for someone with solid experience in full-stack AI solution development combining backend systems, frontend interfaces, and MLOps best practices and whos passionate about deploying real-world solutions that deliver tangible business value.

Key Responsibilities

Design, develop, and deploy GenAI applications using tools like Azure OpenAI, LangChain, and LangFuse
Build and manage end-to-end AI solutions from backend services to user-facing interfaces
Use vector databases (e.g., Weaviate) to manage and retrieve text/data embeddings
Implement MLOps pipelines to support scalable model training, testing, and deployment
Develop and optimize retrieval-augmented generation (RAG) and other NLP solutions
Apply traditional and advanced ML models to address business problems and predict outcomes
Collaborate with cross-functional teams (Product, Engineering, Business) to align AI solutions with strategic goals
Monitor, evaluate, and continuously improve model and system performance
Stay up to date with advancements in the AI/ML space, particularly GenAI

Key Requirements

Solid understanding of embedding models, vector search, and NLP fundamentals
Practical knowledge of MLOps tools and deployment pipelines
Familiar with traditional ML algorithms and predictive modeling
Cloud experience, especially with Microsoft Azure
Strong analytical and problem-solving skills
Able to communicate technical ideas to both technical and non-technical audiences
Proficient in Python for data science and backend development
Experience building and deploying full-stack AI applications

Hands-on with

Azure OpenAI Service | LangChain / LangFuse and Vector databases (Weaviate or similar)

Education & Experience

Bachelors degree (or higher) in a quantitative field: Mathematics, Stats, Computer Science, Engineering, Actuarial Science, or similar
Proven experience in designing and deploying GenAI applications in a business setting

Why This Role?

You’ll work with a forward-thinking team at the intersection of finance and emerging AI technology, shaping the future of intelligent banking solutions. It’s a great opportunity to contribute to impactful projects while continuing to grow your technical expertise!

Ready to explore this role?

Send us your CV or portfolio, and lets connect.

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