Yubi is hiring for a Data Intern role in India

🧾 Position:

• Data Intern

• Entry-level, suitable for freshers and early-career professionals

• Involves working closely with the Data Science team on live projects

• Includes exposure to end-to-end data pipelines, modeling, and visualization

🏢 Company:

• Yubi

📍 Location:

• Chennai, Tamil Nadu, India

🕒 Job type:

• Full-time

🌐 Job mode:

• Onsite

🆔 Job requisition id:

• Not specified in original JD

📆 Years of experience:

• 0 to 1 years (freshers & college students can also apply)

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🏢 Company Description 

• Yubi, formerly known as CredAvenue, stands for being "ubiquitous," reflecting its mission to transform how institutions access debt capital

• Headquartered in India, Yubi has rapidly scaled its operations across multiple segments of the financial services industry

• The platform offers a comprehensive suite of seven products that span various aspects of debt market infrastructure

• Yubi’s ecosystem connects lenders, borrowers, investors, and partners through a unified, technology-driven interface

• Known for its focus on innovation, transparency, and seamless collaboration across teams and verticals

• Yubi promotes a culture that encourages experimentation and personal growth by eliminating fear and enabling bold ideas

• The company’s workplace is designed to be a launchpad for high-potential professionals to explore, build, and scale new initiatives

• Backed by strong investors and partners, Yubi is on a path to expand globally while deepening its roots in India's financial technology space

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🔍 Profile Overview 

• This internship is ideal for students or recent graduates interested in gaining hands-on exposure to the data science ecosystem

• Interns will play a key role in data cleaning, processing, analysis, and visualization to support data-driven decision-making

• You'll have the opportunity to build basic machine learning models and algorithms under the guidance of experienced data scientists

• Expect a highly collaborative environment with exposure to cross-functional teams like product, tech, and analytics

• The role includes working with large-scale datasets and learning industry-standard tools and platforms

• This internship can serve as a stepping stone for a full-time career in analytics, business intelligence, or data science

• The learning environment encourages continuous exploration of new data techniques and approaches

• Suitable for self-driven individuals who are comfortable with ambiguity and are eager to solve real-world business problems

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🎓 Qualifications 

• Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Statistics, Data Science, Economics, Engineering, or a related field

• Strong foundation in statistics, probability, and linear algebra

• Familiarity with Python and its key libraries such as pandas, NumPy, scikit-learn, and matplotlib

• Basic understanding of SQL for querying structured databases

• Exposure to or coursework in machine learning techniques such as regression, clustering, classification, etc.

• Ability to work with datasets to derive insights and communicate them in a structured manner

• Comfortable handling Excel, PowerPoint, and basic dashboarding tools

• Strong communication and collaboration skills to interact with cross-functional teams

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📌 Additional Info 

• Internship offers a chance to work in one of India’s most exciting fintech ecosystems

• Provides a solid foundation for careers in data analytics, data engineering, and data science

• Expect regular learning sessions, feedback loops, and close mentorship by senior team members

• Interns will receive exposure to internal tools and platforms used for data workflows at scale

• Successful interns may be considered for future full-time opportunities within Yubi

• The work environment values initiative, autonomy, and the ability to bring clarity to open-ended tasks

• While the role is technical in nature, business understanding and curiosity about finance are a plus

• You’ll be part of a team that values experimentation, speed, and making data-informed decisions

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✅ Key Responsibilities

• Assist in the cleaning and preprocessing of large datasets to make them ready for analysis

• Perform exploratory data analysis to identify patterns, outliers, or key trends

• Collaborate with team members to define project objectives and expected deliverables

• Support in building basic statistical models or machine learning algorithms

• Create data visualizations and dashboards to present insights to non-technical stakeholders

• Document findings and communicate them in written and verbal formats

• Stay up to date with trends and best practices in data science and analytics

• Participate in daily standups or sprint discussions with the analytics and product teams

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🔧 Tools and Technologies You’ll Work With

• Programming: Python (NumPy, pandas, scikit-learn, matplotlib, seaborn)

• Databases: SQL, MySQL, PostgreSQL

• Data Visualization: Power BI, Tableau (basic), matplotlib, seaborn

• Collaboration: Slack, Notion, Google Workspace, Microsoft Office

• Version Control: GitHub (optional but good to have)

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🚀 Learning Outcomes

• Gain practical experience in working with real-world datasets

• Understand the workflow of data teams in a fast-paced startup environment

• Improve proficiency in core data science tools and libraries

• Build the foundation for machine learning with hands-on experimentation

• Learn to work with business, product, and tech teams to define and solve data problems

• Develop storytelling skills through visualization and reporting

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💼 Career Benefits

• Resume boost with a credible fintech brand

• Real exposure to data projects with business impact

• Strong peer network and mentoring opportunities

• Possibility of transition to full-time roles upon successful internship completion

• Learnings that are transferable across industries like banking, fintech, consulting, and tech startups

Please click here to apply.