Salary
8-15 LPA
Batches
Freshers
Apply Route
100% Direct
About The Role
Join Dun & Bradstreet's Data Science team to work on Trade and Credit Risk Analytics, developing B2B Risk solutions and applying LLMs to analyze large-scale datasets.
Responsibilities
Work on development of B2B Risk solutions
Work with internal / external D&B clients and stakeholders
Participate in all aspects of a modelling engagement, including design, development, validation, calibration, documentation, approval, implementation, monitoring, and reporting
Applying LLMs, and prompt engineering to analyze large-scale, unstructured and structured B2B datasets
Design, develop and test new risk signals to effectively identify risk patterns from structured and Unstructured data
Develop AI Agents for business deploying autonomous agents
Ability to work on multiple assignments, many of which with challenging timelines
Ability to work independently, as well as collaborate effectively with team members
Requirements
- Bachelor's degree in Computer Science, Data Science, or related field
- Strong programming skills in Python, R, or other relevant languages
- Experience with Machine Learning (ML) and Natural Language Processing (NLP)
- Familiarity with large-scale data analysis and risk modeling
- Excellent problem-solving skills and attention to detail
- Ability to work in a fast-paced environment and meet deadlines
- Strong communication and collaboration skills
Eligibility Checklist
B.Tech/M.Tech/MCA
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