Analyst II, Data Science (R-19484)
Dun & Bradstreet
Apply to this job Chennai - India hybrid Until 9/23/2026 2+ years exp H-1B sponsor history First posted June 24, 2026 Last posted July 25, 2026
Job description
Shape the Future with Dun & Bradstreet
At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. For over 180 years, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers.
The Role:
Dun & Bradstreet Technology and Corporate Services India LLP is looking for candidates to support the Data Science team in Trade and Credit Risk Analytics. The candidate needs to work closely with the team based in India and across a range of Analytics leaders who are located globally to fulfill delivery on a timely basis
Key Responsibilities:
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Work on development of B2B Risk solutions which includes Standard and custom solutions catering to various clients including fortune 500 companies
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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
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Applying LLMs, and prompt engineering to analyze large-scale, unstructured and structured B2B datasets (e.g., Company News, Corporate Annual Reports) for credit risk, fraud detection, and compliance.
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Design, develop and test new risk signals to effectively identify risk patterns from structured and Unstructured data
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Develop AI Agents for business deploying autonomous agents. These agents utilize Machine Learning (ML) and Natural Language Processing (NLP) to detect risk triggers, anomalies in real-time, shifting risk management from reactive reporting to predictive, actionable insights
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Ability to work on multiple assignments, many of which with challenging timelines
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Ability to work independently, as well as collaborate effectively in a team environment
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Partner with internal D&B team to develop new business solutions in risk analytics
Key Skills:
- Master’s degree or higher with concentration in a quantitative discipline such as (Math/Stat, Economics, Computer Science, Finance, Operations Research, etc.) with 2 - 5 years of experience in Data Science.
- Experience in development of risk models is desirable.
- Application of Machine Learning Models using techniques such as Xgboost, Light GBM, Random Forest, Logistic Regression, Decision Tree, Neural Networks etc.,
- Strong programming skills with the ability conduct research utilizing Python and Pyspark to manipulate data and conduct statistical analysis.
- Strong SQL skills and experience working with large datasets.
- Ability to build and maintain relationships with clients.
- Ability to effectively communicate complex ideas to both a technical and non-technical audience.
- Analytical mind and business acumen, especially in Financial Services Industry.
- Working experience in applying modern machine learning techniques.
- Passionate on stay abreast of cutting-edge ML algorithms, with good grasp of ML explain-ability methods.
What we are looking for:
Preferred Skills:
Internally this position titled as Analyst II, Data Science
All Dun & Bradstreet job postings can be found at https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.
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About this role
Summary
Support data science team in risk analytics, model development, and applying ML/NLP techniques.
Job title
Analyst II, Data Science (R-19484)
Experience level
2-5 years
Minimum experience
2+ years exp
Industry
analytics
Location requirements
Chennai, India; remote not specified
Salary
Not specified
Visa sponsorship
H-1B sponsor history
Management role
No
Skills & keywords
Required skills
pythonpysparksqlmachine learningrisk models
Preferred skills
financial servicesML explainabilitybusiness acumen
Specializations
risk modelingmachine learningnatural language processingbig data
Locations
Structured locations inferred from the posting.
Chennai, Tamil Nadu, India
Hybrid City
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