Data Science (Apprentice)
Dnb
Posted: May 22, 2026
Interested in this position?
Create a free account to apply with AI-powered matching
Quick Summary
Design and develop data pipelines for real-time data processing and analysis, with a focus on machine learning and data science techniques. The ideal candidate should have experience in data processing, data warehousing, and data visualization. Strong analytical and problem-solving skills are must-haves.
Required Skills
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.
Designation - Operations (Apprentice)
Location - Turbhe, Navi Mumbai
Function - Operations
Business - Analytics
Key Responsibilities::
• Assist with data preparation and conduct basic analytical tasks.
• Support the development and validation of analytical models.
• Design and maintain reports and dashboards to present insights.
• Extract, process, and analyze data using structured queries.
• Contribute to generating business insights and documenting findings.
• Continuously learn and apply new analytics and AI tools as required.
Key Requirements::
• Bachelor’s degree in computer science, Data Science, AI/ML, Engineering, or a related field.
• Additional certification or postgraduate qualification in Data Science/Analytics is preferred.
• Proficiency in Python for data analysis (Pandas, NumPy, Matplotlib/Seaborn, scikit-learn).
• Working knowledge of machine learning algorithms (Regression, Decision Trees, Random Forest, SVM, KNN, Clustering).
• Experience with SQL/PostgreSQL for data querying.
• Familiarity with data visualization tools such as Power BI or Tableau.
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.
Notice to Applicants: Please be advised that this job posting page is hosted and powered by Lever, a subsidiary of Employ Inc. Your use of this page is subject to Employ's Privacy Notice and Cookie Policy, which governs the processing of visitor data on this platform.