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).
- Solid problem-solving and cross-functional communication skills.

📌 Senior Data Scientist (Gurugram)
🏢 MegaNucleus
📍 Gurugram