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.

Key Responsibilities:

• Work across range of Analytical Solutions that includes Implementation, Testing, Validation, Documentation, Monitoring, and Reporting.
• Extracting large data from various data sources using multiple tools such as Python/ Pyspark /Hadoop/ SQL/ etc., to perform multiple analysis.
• Creating data pipelines, performing model scoring, and validating model results. Utilize custom built automated frameworks for all deliverables.
• Work with GenAI Frameworks/Tools such as Microsoft CoPilot Studio, LangGraph, etc. to create agentic solutions.
• Work with multiple teams such as Data Supply, ML Engineers, Technology to implement ML/GenAI solutions and models.

Key Skills:

• 1 to 2 years of relevant experience in Data Analytics / Data Science roles.
• Strong programming skill in tools such as Python, Pyspark, SQL to manipulate data and create deployable production code.
• Knowledge of GenAI tools and techniques.
• Sound Knowledge and exposure to application of Statistical / Machine Learning Techniques.
• Experience in building and optimizing data pipelines, architectures and data sets.
• Certifications in GenAI / LLM skills will be added advantage.
• Excellent verbal, written communication and presentation skills.

All Dun & Bradstreet job postings can be found at . Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.

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