Data Science Intern

About Bright Money

Bright Money is a Consumer FinTech for middle-income consumers. It brings together SaaS products that help consumers build credit, manage their debt, and access suitable loans and credit cards - the major financial needs of middle-income consumers living paycheck to paycheck.

Bright is a profitable, India-built, U.S.-market Consumer FinTech, with a revenue trajectory to $100M in the coming 12 months. The business model combines subscription revenue with financial services marketplace revenue from 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 three top global venture capital firms and leading tech angel investors in the USA, Europe, and Asia.

Bright was established in 2019 by a leadership team drawn from McKinsey's Banking Practice (Petko Plachkov and Avi Patchava) and InMobi's Data Sciences organisation (Varun Modi and Avi Patchava). The core team is ex-InMobi Engineering and Data Sciences, joined more recently by senior leaders from McKinsey. Bright has a data-driven, fast-paced execution culture, and is building a global Consumer FinTech with 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 Sciences 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.

Ideal candidate profile looks like

Experience & Background:

• 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.

Mindset & Operating DNA:

• 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

What Bright Offers

• 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.