Senior Data Scientist

Our client is looking for a Senior Data Scientist. Our client is a market-leading, cloud-based CX benchmarking and operational improvement platform. This role is Hybrid, based out of Gurgaon (India).
Key Responsibilities
Develop and deploy AI solutions across ML and other genAI use cases.
Design, build, validate and optimize predictive models including regression, tree-based models, ensemble methods, gradient boosting and deep learning architectures where appropriate.
Develop and deploy LLM-based and Generative AI solutions, including retrieval augmented generation (RAG), prompt engineering, fine-tuning and agentic workflows.
Build multi-agent systems and tool-integrated AI solutions for analytics automation, insight generation and conversational interfaces.
Apply statistical analysis, hypothesis testing and experimental design (including A/B testing) to inform business decisions.
Collaborate with cross-functional teams
Ensure production readiness through monitoring, model governance, performance tracking, retraining strategies and documentation.
Analyze structured and unstructured datasets to generate actionable insights.
Communicate analytical findings and technical concepts clearly to cross-functional stakeholders.
Contribute to code reviews, best practices and continuous improvement of AI infrastructures.
Independently manage projects in environments with evolving requirements and timelines.
Required Qualifications, Experience & Skills
Education:
Bachelor’s or Master’s degree in Computer Science, Data Science,
Statistics, Mathematics, Engineering, or a related quantitative field.
Experience:
6+ years of professional experience in data science or applied machine learning roles.
Demonstrated experience delivering regression and/or classification models in production environments.
Hands-on experience building and deploying LLM-based or Generative AI applications.
Hands-on experience with agentic frameworks such as CrewAI, LangChain Agents, LangGraph or similar multi-agent orchestration frameworks.
Skills
Strong proficiency in Python
Solid foundation in statistics, regression, classification and other classical ML techniques.
Hands-on experience with LLMs and Generative AI, including prompt engineering, RAG, fine-tuning and evaluation.
Experience building multi-agent systems using frameworks such as CrewAI, LangChain/LangGraph or similar.
Familiarity with vector databases and embedding pipelines.
Experience deploying ML/LLM solutions in production with MLOps practices (e.g., MLflow, CI/CD) on cloud platforms (AWS/Azure/GCP/Databricks).
Strong problem-solving and cross-functional communication skills.

Work arrangement
No