Sr Analyst, Data Science

We are looking for a talented Data Scientist with 2–5 years of experience and strong expertise in Generative AI, Bayesian modeling, and pricing analytics. The ideal candidate brings hands-on experience in building and deploying AI/ML models—especially using AWS SageMaker—and is passionate about leveraging advanced statistical and machine learning techniques to solve real-world business problems.

In this role, you will collaborate closely with clients to design and implement next-generation pricing optimization solutions, integrate LLM-based workflows, and enhance decision-making with modern GenAI capabilities.

Work Location: Hyderabad

Key Responsibilities

• Develop and enhance pricing optimization models using statistical, machine learning, and Generative AI techniques.
• Analyze pricing elasticity to understand customer behavior and forecast business impact.
• Build, fine-tune, and deploy Generative AI/LLM-based models (e.g., for scenario simulation, automated insights, or decision support).
• Use AWS SageMaker for scalable model development, training, deployment, and monitoring.
• Apply Bayesian modeling approaches to quantify uncertainty, support strategic pricing decisions, and improve prediction robustness.
• Integrate GenAI tools/frameworks (e.g., LangChain, Hugging Face, prompt engineering, LLM-based automation) into pricing workflows.
• Work cross-functionally with engineering, product, and business teams to embed data-driven insights into operational processes.
• Communicate complex findings clearly to both technical and non-technical stakeholders.
• Continuously explore new GenAI and ML techniques to enhance solution accuracy, scalability, and automation.

• Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Economics, or related fields.
• 2–5 years of hands-on experience in Data Science, including pricing analytics or predictive modeling.
• Strong foundation in Generative AI, with experience in LLM fine-tuning, embeddings, or workflow orchestration.
• Expertise in Bayesian modeling and applied machine learning.
• Proven experience with AWS SageMaker for model lifecycle management.
• Strong programming skills in Python (preferred) or R.
• Experience with GenAI frameworks and libraries (e.g., LangChain, Hugging Face Transformers, PyTorch, TensorFlow).
• Proficiency with data and statistical libraries such as NumPy, Pandas, PyMC3 (or similar).
• Strong analytical, problem-solving, and communication skills.
• Ability to work in a fast-paced environment and handle multiple projects.

Preferred Qualifications

• Experience in A/B testing, econometrics, or other experimentation techniques.
• Exposure to other cloud platforms (Azure, GCP).
• Experience in client-facing roles or working with cross-functional teams.
• Knowledge of AWS Data Analytics – Specialty certification is a plus.