Senior Data Scientist

We are seeking a Senior Data Scientist / Gen AI Developer who is passionate about transforming raw data into intelligent business insights and building AI models that solve real-world problems.

In this role, you'll work across the entire data science lifecycle from exploratory analysis and statistical modelling to deploying advanced LLM-based and Generative AI solutions.

You will be at the forefront of building AI-powered products across domains like healthcare, life sciences, finance, and enterprise analytics, with a focus on real-world impact and scalable architecture.

Responsibilities :

• Develop and deploy applications using Large Language Models (LLMs) like GPT-4 Claude, LLaMA, and Gemini.

• Build GenAI-powered tools such as AI report generators, contextual chatbots, summarisation engines, and semantic search applications.

• Design, optimise, and evaluate prompts tailored for various use cases and user personas.

• Implement and enhance Retrieval-Augmented Generation (RAG) workflows for improved relevance and accuracy.

• Fine-tune and customise foundation models using techniques like LoRA, PEFT, and prompt-tuning.

• Evaluate and monitor model performance on accuracy, latency, and business-specific KPIs.

• Apply NLP techniques such as entity recognition, topic modelling, summarisation, sentiment analysis, and question answering.

• Work with libraries and frameworks such as Hugging Face Transformers, LangChain, spaCy, and NLTK.

• Deploy GenAI applications using cloud platforms like AWS Bedrock/SageMaker, GCP Vertex AI, or Azure OpenAI.

• Build scalable and secure inference pipelines integrated with backend systems and APIs.

• Use tools like MLflow and Docker for model lifecycle management and MLOps best practices.

• Collaborate with cross-functional teams including product managers, data engineers, and designers to align AI outputs with business needs.

• Continuously experiment with new GenAI models, tools, and research to keep the solutions cutting-edge.

Requirements :

• 7+ years of experience as a Data Scientist with good experience in Generative AI or LLM-based applications.

• Strong expertise in Python and libraries like Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch.

• Experience in end-to-end ML lifecycle including model development, validation, and deployment.

• Solid understanding of statistics, probability, and data modelling.

• Experience with NLP libraries (NLTK, spaCy, Hugging Face Transformers).