Data Scientist-FDE

SENIOR SOFTWARE ENGINEER (with Data Science) – Forward Deployed Location: Chennai | Type: Full-time Your Mission Software Engineer to design, build, and maintain full-stack systems delivering business value. Work across backend, frontend, cloud, and AI—developing RAG/LLM solutions, using data insights, and ensuring high-quality, reliable code delivery. What You’ll Do

Business: Apply domain knowledge of commercial operations to technical solutions. Bridge business and technology conversations fluently, speaking the domain language naturally. Shadow operations to build understanding and make better technical decisions by understanding broader business context. Delivery: Deliver working solutions rapidly — days not weeks. Use prototypes to build stakeholder trust, know when to stop prototyping and start productionising, and balance speed with appropriate quality. Deliver complete features end-to-end independently across frontend, backend, database, and infrastructure. Generative AI: Design production RAG systems with appropriate chunking, embedding, and retrieval strategies. Optimise for relevance and latency, handle edge cases, and evaluate end-to-end system quality. Design evaluation frameworks with custom evaluators tailored to your use case. Build golden datasets and run experiments to compare prompt and model changes systematically. Data Science & Analytics: Perform exploratory data analysis to inform solution design and validate assumptions. Apply statistical methods to understand relationships in operational data and build predictive models where they add business value. Evaluate model performance, communicate analytical findings to non-technical stakeholders, and integrate data-driven insights into software solutions. Documentation: Create comprehensive documentation for complex systems. Write precise specifications that enable accurate AI-generated code, establish documentation practices for your projects, and ensure docs are discoverable. Identify patterns across implementations and propose candidates for generalisation. Role Behaviours Own the Outcome: Take end-to-end ownership of features and business outcomes. Accept technical debt intentionally when it accelerates value delivery. Build trust through rapid delivery of working solutions. Own stakeholder relationships and balance quality with delivery speed. AI may generate the code, but responsibility for outcomes remains with you. Be Polymath Oriented: Bridge gaps between engineering, design, business, data science, and the pharmaceutical domain. Rapidly immerse in new domains. Speak the language of Commercial operations and make better decisions by understanding the broader business context. See connections across disciplines that others miss. Communicate with Precision: Separate