Senior Data Science Analyst

📋 Description

• Develop B2B risk solutions for Fortune 500 clients.
• Engage with D&B clients and stakeholders across analytics lifecycle.
• Apply LLMs and prompt engineering on large B2B data for risk.
• Design and test risk signals from structured and unstructured data.
• Serve as SME on risk models; advise on predictive solutions.
• Develop AI Agents for real-time business risk monitoring using ML.

🎯 Requirements

• Master’s degree or higher in Math/Stats/CS/Finance with 5-8 yrs in Data Science.
• Proven design and development of risk models and frameworks.
• Strong Python and PySpark for data manipulation and analytics.
• Strong SQL skills with large datasets.
• Experience in NLP/LLMs; client collaboration skills.
• Excellent communication to technical and non-technical audiences.

🎁 Benefits

• Hybrid work setup with India team.
• Career growth in risk analytics and ML.
• Cross-functional collaboration with clients.
• Training and development programs.
• Competitive compensation and benefits.