Data Scientist

Responsibilities:

• Design, test, and optimise LLM-driven solutions for real business use cases.
• Create, refine, and manage high-quality prompts, workflows, and agent setups.
• Rapidly prototype GenAI applications using existing tools, APIs, and platforms.
• Evaluate LLM outputs for accuracy, bias, safety, and reliability.
• Stay current with new LLM models, tools, and GenAI trends, and apply them pragmatically.
• Collaborate with business and technical teams to translate ideas into working AI solutions.
• Continuously improve the performance, efficiency, and cost-effectiveness of LLM usage.

Requirements:

• Strong background in Mathematics, Statistics, or Computer Science.
• Experience with deep learning frameworks like PyTorch or TensorFlow.
• Proven track record of publishing research or developing scalable AI systems.
• Bachelor's degree in Computer Science, Data Science, or a related field (Master's or PhD preferred).