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 6,500+ 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 looking for internship candidate to support Analytics team. The candidate needs to work closely with the team based in India and across a range of Analytics solutions.

Key Skills

Strong Analytical and Problem-Solving Skills, Excellent Verbal and written communication.

Responsibilities

Extracting large data from various data sources using multiple tools such as Python/ Pyspark /Databricks/ SQL etc., to perform multiple analysis

Will be exposed to work across range of Analytical Solutions that includes Design, Development, Validation, Calibration, Documentation, Implementation, Monitoring, and Reporting

Learn to generate Analytical Insights on various portfolios

Exposure to utilize latest data science techniques across both supervised and unsupervised machine learning methodologies, NLP and development of new capabilities.

Exposure to create detailed reports on projects delivered.

Requirements

2023 and 2024 pass-outs with programming proficiency.

Knowledge of Python packages and tools is preferable.

Good Knowledge on application of Statistical Techniques.

Ability to interpret and translate data into meaningful insights.

Excellent verbal, written communication and presentation skills.

Additional Information

All Dun & Bradstreet job postings can be found at https://www.dnb.com/about-us/careers-and-people/joblistings.html and https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.

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Dun & Bradstreet

Intern, Data Science