Data Sciences - Intern

About Bright Money

Bright Money is a Consumer FinTech for middle-income consumers. It brings together SaaS products to help consumers build credit, manage their debt, and get access to suitable loans and credit cards. These are the major financial needs of middle-income consumers living paycheck-to-paycheck.
Bright is a profitable, India-built, U.S.-market Consumer FinTech, with revenue trajectory to $100M in the coming 12 months. The business model combines subscription revenue with a financial service marketplace revenues, for loans, credit cards, and credit building tools. 

Bright has launched an AI money assistant and AI agentic UX flows for access to credit. It will be the first AI-driven Consumer FinTech for middle-income consumers.

The Bright product suite has potential for global markets beyond the US. The market size is 100M global middle-income consumers, with a revenue pool opportunity of $15B.

Bright is backed by 3 top global venture capital firms, and leading tech angel investors in the USA, Europe, and Asia.

Bright was founded in 2019 by a founding team from McKinsey’s Banking Practice (Petko Plachkov and Avi Patchava) and InMobi Data Scientists (Varun Modi and Avi Patchava). The core team is ex-InMobi Engineering and Data Sciences, recently joined by senior leaders from McKinsey. Bright is a data-driven, fast-paced execution culture that will build a Global Consumer FinTech, all functions operating from India.

What is the team  & role about?

Bright Money is looking for a curious and analytical Data Science Intern to join our Data Sciences team. The role involves working with real-world data to identify patterns, generate insights, and support data-driven decision-making. You’ll get hands-on experience with data analysis, machine learning, and statistical modeling while collaborating with cross-functional teams to solve business and product problems. This is an opportunity to learn, experiment, and contribute to impactful Data Science initiatives at Bright.

What you will do?

• Assist in collecting, cleaning, and preprocessing data from various sources to ensure data quality and integrity.

• Perform exploratory data analysis to uncover insights and trends that inform business decisions.

• Support the development and implementation of machine learning algorithms and predictive models.

• Collaborate with cross-functional teams to understand project requirements.

• Assist in the creation of data visualizations and reports to communicate findings to stakeholders.

• Stay updated on the latest advancements and best practices in data science and contribute innovative ideas to ongoing projects.

• Pursuing/Completed a degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.

• Strong understanding of machine learning algorithms and techniques.

• Strong proficiency in programming languages such as Python or R.

• Familiarity with data manipulation and analysis libraries/packages (e.g., Pandas, NumPy, Scipy).

• Strong understanding of statistical concepts and techniques.

• Ability to work in a dynamic and fast paced team environment.

• Knowledge of SQL or other database querying languages.

• Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau.

• Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus.

• Familiarity with Gen AI technologies is a plus.

• A profitable sub-unicorn with U.S. market scale – liquidity potential at $1–3B valuations.

• Real ownership: You run your own BU with an independent P&L.

• Wealth creation: Equity at an inflection stage of scale.

• A data-driven, high-cadence culture that combines consulting rigor with FinTech speed.

• Location flexibility: 4 days from the Bangalore office in a week