Designing and deploying ML/Deep learning models for consumer analytics, demand forecasting, personalization, and performance metrics that inform critical business decisions
Implementing RAG-enhanced LLMs and agentic workflows (Langchain, Llamaindex) for content analysis, literature reviews, HCP/KOL tools, and intelligent chatbots
Developing LLM-powered engines to run targeted campaigns and optimize channel engagements across multiple touchpoints
Applying advanced statistical methods to analyse campaign impacts, utilization patterns, and patient journeys using rigorous statistical approaches on multimodal data
Orchestrating end-to-end data pipelines on platforms like Dataiku and Snowflake, ensuring real-time insights, MLOps best practices, and privacy compliance (GDPR/HIPAA)
Collaborating with cross-functional teams and stakeholders to innovate with emerging AI technologies and solve complex healthcare challenges

7+ years of data science experience; pharmaceutical or healthcare experience strongly preferred
Deep expertise in machine learning and deep learning frameworks (TensorFlow, PyTorch, scikit-learn) and advanced statistical methods
Proven experience with large language models, including implementation and fine-tuning (PEFT/LoRA), retrieval-augmented generation (RAG) architectures, and agentic frameworks (e.g., LangChain)
Demonstrated production experience deploying scalable solutions that solve complex business problems in real-world environments
Degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field (Master’s or PhD preferred)

Senior Data Scientist

Key skills