Analyst II, Data Science

As a Data Science Analyst II at Dun & Bradstreet Technology and Corporate Services India LLP, you will play a crucial role in supporting the Data Science team in Trade and Credit Risk Analytics. Your main responsibilities will include: - Working on the development of B2B Risk solutions, both standard and custom, for various clients including fortune 500 companies. - Collaborating with internal and external D&B clients and stakeholders throughout the entire modeling engagement process. - Analyzing large-scale structured and unstructured B2B datasets using LLMs and prompt engineering techniques for credit risk, fraud detection, and compliance. - Designing, developing, and testing new risk signals to effectively identify risk patterns from structured and unstructured data. - Developing AI Agents utilizing Machine Learning (ML) and Natural Language Processing (NLP) to detect risk triggers and anomalies in real-time, shifting risk management from reactive reporting to predictive insights. Key Qualifications for this role include: - A Masters degree or higher in a quantitative discipline such as Math/Stat, Economics, Computer Science, Finance, or Operations Research with 2-5 years of experience in Data Science. - Experience in developing risk models is desirable. - Proficiency in applying Machine Learning Models using techniques such as Xgboost, Light GBM, Random Forest, Logistic Regression, Decision Tree, Neural Networks, etc. - Strong programming skills in Python and Pyspark for data manipulation and statistical analysis. - Solid SQL skills and experience working with large datasets. - Ability to build and maintain relationships with clients. - Effective communication of complex ideas to both technical and non-technical audiences. Preferred Skills for this position include: - Analytical mindset and business acumen, particularly in the Financial Services Industry. - Working experience in applying modern machine learning techniques. - Passion for staying updated on cutting-edge ML algorithms and good grasp of ML explain-ability methods. If you are ready to shape the future with Dun & Bradstreet and make an impact in the world of Data Science and Risk Analytics, apply for this exciting opportunity at https://jobs.lever.co/dnb. Please note that all official communications from Dun & Bradstreet will come from an email address ending in @dnb.com. The organization may use artificial intelligence (AI) tools to support the hiring process, but final decisions are made by humans. For more information on data processing, visit https://bit.ly/3LMn4CQ. As a Data Science Analyst II at Dun & Bradstreet Technology and Corporate Services India LLP, you will play a crucial role in supporting the Data Science team in Trade and Credit Risk Analytics. Your main responsibilities will include: - Working on the development of B2B Risk solutions, both standard and custom, for various clients including fortune 500 companies. - Collaborating with internal and external D&B clients and stakeholders throughout the entire modeling engagement process. - Analyzing large-scale structured and unstructured B2B datasets using LLMs and prompt engineering techniques for credit risk, fraud detection, and compliance. - Designing, developing, and testing new risk signals to effectively identify risk patterns from structured and unstructured data. - Developing AI Agents utilizing Machine Learning (ML) and Natural Language Processing (NLP) to detect risk triggers and anomalies in real-time, shifting risk management from reactive reporting to predictive insights. Key Qualifications for this role include: - A Masters degree or higher in a quantitative discipline such as Math/Stat, Economics, Computer Science, Finance, or Operations Research with 2-5 years of experience in Data Science. - Experience in developing risk models is desirable. - Proficiency in applying Machine Learning Models using techniques such as Xgboost, Light GBM, Random Forest, Logistic Regression, Decision Tree, Neural Networks, etc. - Strong programming skills in Python and Pyspark for data manipulation and statistical analysis. - Solid SQL skills and experience working with large datasets. - Ability to build and maintain relationships with clients. - Effective communication of complex ideas to both technical and non-technical audiences. Preferred Skills for this position include: - Analytical mindset and business acumen, particularly in the Financial Services Industry. - Working experience in applying modern machine learning techniques. - Passion for staying updated on cutting-edge ML algorithms and good grasp of ML explain-ability methods. If you are ready to shape the future with Dun & Bradstreet and make an impact in the world of Data Science and Risk Analytics, apply for this exciting opportunity at https://jobs.lever.co/dnb. Please note that all official communications from Dun & Bradstreet will come from an email address ending in @dnb.com. The organization may use