Senior Analyst, Data Science (R-18360)

Why We Work at Dun & Bradstreet

Dun & Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,000+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us! Learn more at dnb.com/careers.

Dun & Bradstreet Technology and Corporate Services India LLP is the global center of excellence for providing technology and analytics solutions and services to Dun & Bradstreet and its clients globally. We specialize in delivering predictive models and decision management solutions to convert raw data into actionable insights. Our customers include banks, financial services organizations, credit bureaus, rating agencies and thousands of businesses across the globe. Headquartered in Hyderabad (India), the company employs high caliber data scientists, economists, analytics professionals and data engineers from some of the finest institutions in the country striving to create more transparent credit & business environment and robust economies.

Key Requirements:

• Contribute across the GenAI and analytics lifecycle, including implementation, testing, validation, documentation, monitoring, and reporting.
• Identify process improvement opportunities and design agentic applications for analytics and other teams.
• Work with LLMOps and MLOps frameworks to deploy and monitor AI/ML models in real time.
• Collaborate with cross-functional teams - Data Supply, Product, Governance, PMO, and Technology to deliver analytical solutions.

Key skills:

• 6-8 years of experience in Data Analytics or Data Science roles.
• Proficient in python and familiar with relevant packages and tools.
• Hands-on experience with GenAI/LLM frameworks and tools like Langchain, WatsonxAI etc.
• Comfortable with development tools such as VSCode, PyCharm, Git, and JIRA.
• Solid understanding of statistical and machine learning techniques.
• Experience with visualization tools like Power BI.
• Strong verbal, written, and presentation skills.