Overview
Senior/Lead Data Scientist role focused on designing, developing, evaluating, and deploying practical AI and Generative AI solutions for client use cases.
What you'll do
- Develop AI/ML/GenAI solutions using Python, SQL, cloud platforms, LLM APIs, open-source models, and modern AI frameworks.
- Translate client business problems into analytical approaches, prototypes, requirements, and scalable implementation plans.
- Build and evaluate GenAI applications such as RAG knowledge assistants, summarization/extraction tools, workflow copilots, conversational agents, and semantic search.
- Work with structured and unstructured data including text, documents, images, transcripts, logs, and enterprise knowledge sources.
- Run model experimentation, prompt engineering, embedding/retrieval design, fine-tuning/adaptation, and quality assessment.
- Apply evaluation for relevance, accuracy, robustness, hallucination risk, bias/fairness, explainability, human-in-the-loop, and business impact.
- Collaborate with teams to refine requirements and deliver client-ready outputs, including responsible AI considerations.
What you'll need
- 3 to 8 years of experience in AI/ML, data science, GenAI engineering, NLP, advanced analytics, software engineering, or related roles.
- Hands-on Python and SQL experience.
- Working knowledge of GenAI concepts such as LLMs, transformers, embeddings, prompt engineering, RAG, agents, fine-tuning, evaluation, and guardrails.
- Understanding of ML fundamentals including feature engineering, supervised/unsupervised learning, validation, metrics, experimentation, and deployment lifecycle.
- Experience handling unstructured data and building data preparation/transformation or retrieval pipelines.
- Ability to write clear technical documentation and explain AI/GenAI outputs, limitations, and trade-offs to technical and business audiences.
Details
- Location: Gurugram - Two Horizon.
- Marsh states hybrid work, with colleagues expected to be in their local office or working onsite with clients at least three days per week.
Read the full description and apply on the company’s own careers page.
NewPosted today
