Analyst II, Data Science (R-17182)

Why We Work at Dun & BradstreetDun & 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.
Overview
Dun & Bradstreet Technology and Corporate Services India LLP is looking for candidate for the role of Analyst to support the Data Science team. 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 the deliverables on a timely basis.

Key Responsibilities:

• Work across range of Analytical Solutions that includes Design, Development, Validation, Calibration, Documentation, Implementation, Monitoring, and Reporting
• Generate Analytical Insights on various customer portfolios.
• Develop Predictive Solutions using advanced statistical techniques to enable better decision making.
• Utilize latest data science techniques across both supervised and unsupervised machine learning methodologies, NLP, and development of new capabilities.
• Proficiency in using Machine Learning techniques.
• Collaborate with Technology teams to implement analytical solutions and models.
• Work with stakeholders in providing additional analysis based on specific needs.
• Work on newer strategic initiatives focused on LLMs and GenAI.

Requirements

• 2 to 5 years of relevant experience in Data Analytics / Data Science roles
• Strong programming skills in tools such as Pyspark, Python, SQL to manipulate data and conduct statistical analysis.
• Knowledge of Python packages and GCP / AWS / Databricks.
• Sound Knowledge and proven experience on application of Statistical / Machine Learning techniques.
• Experience in BFSI domain / Statistical Modelling & Validation is an added advantage.
• Ability to interpret and translate data into meaningful business insights.
• Good working knowledge on LLMs and GenAI would be desirable.
• Excellent verbal, written communication, and presentation skills.

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