Data Scientist – 3 positions.
Work location – Gachibowli, Hyderabad
Work model – Hybrid – 4 days onsite per week.
Interview process – Face to face must for L1 and L2 discussions.
Need candidates who can start under 30 days notice period ONLY.
About the role:
We are seeking Data Scientists who will design, develop, and deploy advanced Gen AI solutions like RAG and Agentic AI workflows to optimize risk assessment, claims automation, fraud detection, and personalized underwriting.
Key responsibilities:
Generative AI & Agentic Workflows:
Design and implement RAG systems and Agentic AI workflows using prompt engineering, fine-tuning of LLMs, and frameworks like Lang Graph/Lang Chain to automate insurance processes such as policy binding and claims adjudication.
Develop autonomous AI agents for tasks like real-time risk scoring and customer query resolution.
Evaluate LLMs for accuracy, bias mitigation, and alignment with insurance regulations (e.g., IRDAI compliance).
Model Development & Deployment:




Deploy scalable models in production on AWS/Azure/GCP.
Optimize models using performance metrics, feedback loops, and A/B testing for cost-efficiency and reliability.
Experience in working with Insurance and Manufacturing domain is a plus
Qualifications & Talents:
Bachelor’s/master’s in computer science, Statistics, Data Science, or related field.
3+ years in ML/Data Science, with 2+ years in Gen AI projects in insurance/manufacturing.
Expertise in Python, ML libraries (Pandas, Num Py, scikit-learn, Tensor Flow, Py Torch), and Gen AI frameworks (Lang Chain, Lang Graph).
Robust stats, algorithms, data structures; experience with large datasets, visualization (Matplotlib, Seaborn, Tableau).
Excellent communication, problem-solving, and team leadership skills.
Passion for AI innovation and insurance domain knowledge (e.g., binding authority, actuarial models).

📌 Data scientist (Hyderabad)
🏢 Tezo
📍 Hyderabad