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.