Position:
- Title: Intern, Data Science
- Level: Internship
- Industry: Data & Analytics
- Field: Technology and Analytics
Company:
- Name: Dun & Bradstreet Technology and Corporate Services India LLP
- Website: dnb.com/careers
- Parent Company: Dun & Bradstreet (Global Data and Analytics Leader)
- Mission: Unlocking the power of data to drive business decisions and growth
- Culture: Innovative, award-winning, and diverse environment
- Team Size: Over 6,000 employees worldwide
Location:
- City: Chennai
- Country: India
- Work Mode: Hybrid (Blend of Remote and In-Office)
Job Type:
- Type: Internship
- Category: Data Science and Analytics
Job Mode:
- Mode: Hybrid
Job Requisition ID:
- ID: Not specified
Years of Experience:
- Experience Required: Not specified (entry-level internship)
Company Description
- Global Presence: Dun & Bradstreet, a renowned leader in data and analytics, operates across multiple continents, offering data-driven insights to help clients make informed decisions.
- Workplace Culture: Known for fostering an award-winning work culture, the company encourages creativity, innovation, and growth among its global team of over 6,000 employees.
- Mission: Dun & Bradstreet’s mission is to leverage data to convert business risks into opportunities, empower organizations, and create value in the global market.
- Values: The company values bold, diverse perspectives and is committed to helping clients navigate uncertainties with confidence.
- Why Join: As an intern, you'll experience a dynamic environment with exposure to cutting-edge technology and data science methodologies, contributing to meaningful projects and learning from experienced professionals.
- Learning Opportunity: The company offers a chance for interns to work on real-world analytics solutions, contributing to a global leader’s mission of harnessing data for innovation and impact.
Profile Overview
- Internship Objective: This internship in Data Science is designed for entry-level candidates passionate about analytics and data solutions.
- Role Focus: The intern will assist Dun & Bradstreet’s Analytics team in India, collaborating on projects that utilize advanced data science techniques.
- Project Involvement: Work will include hands-on involvement in design, development, and reporting for various analytical solutions, contributing directly to client solutions.
- Skills Application: Interns will apply programming skills and statistical knowledge to interpret data and generate actionable insights.
- Technological Exposure: You’ll work with modern analytics tools like Python, PySpark, Databricks, and SQL for data extraction and processing.
- Learning & Development: Gain exposure to machine learning (supervised and unsupervised methods) and natural language processing (NLP), developing skills in both methodologies and project documentation.
Qualifications
- Education Requirement:
- 2023 or 2024 graduates with relevant academic backgrounds in data science, analytics, or related fields.
- Technical Skills:
- Strong programming skills, particularly in Python, PySpark, and SQL.
- Familiarity with data science tools and libraries, including Python packages, for statistical analysis.
- Analytical Skills:
- Proven ability to interpret data accurately, perform meaningful analysis, and create insightful reports.
- Understanding of statistical techniques and how to apply them in real-world scenarios.
- Communication Skills:
- Excellent verbal and written communication skills, essential for creating reports and collaborating with teams.
- Strong presentation abilities for effectively conveying analytical insights.
- Additional Preferences:
- Knowledge of both supervised and unsupervised machine learning methodologies.
- Understanding of natural language processing (NLP) techniques.
- Capacity to generate and document analytical insights for a range of business portfolios.
Additional Info
- Internship Benefit: Gain firsthand experience in a global company, working on projects that impact clients across industries.
- Learning Exposure: This role offers a comprehensive understanding of data science applications, from model development to monitoring and documentation.
- Professional Growth: Opportunity to develop new capabilities in data analytics and explore innovative data solutions.
- Company Support: Join a supportive, mentorship-focused environment where collaboration and continuous learning are prioritized.
- Application Process: All job applications are processed through Dun & Bradstreet’s official career site and Lever’s platform, ensuring data privacy and transparency.
- Security Advisory: Official communication from Dun & Bradstreet will only come through email addresses ending in “@dnb.com.”
Please click here to apply.
Comments
Post a Comment
Please feel free to share your thoughts and discuss.