Jupiter Off Campus Hiring ML Intern Freshers | Market Competitive

Who We Are

Money is a subject that’s always on our mind. At Jupiter, our mission is to enable people to improve their relationship with money. We are a financial services platform that leverages technology to offer seamless and user-friendly products related to banking, loans, and investments. From savings accounts, credit cards, investments, and payments – it’s all on Jupiter. We simplify banking jargon, offer smart spending insights, and provide a range of modern features to help users make sense of their finances.

Our Journey So Far

Founded in 2019 by Jitendra Gupta, best known as Citrus Pay’s founder, Jupiter was born from the idea that personal finance should be customer-centric. In 2021, we launched with a waitlist of over 100,000 people and within 10 months, we crossed 1 million users. Today, we have over 2.8 million happy users.

Our Insights feature automatically shows how much and where you’ve been spending, even on other accounts. Our Edge CSB Bank RuPay Credit Card is popular for its transparent design and rewards. Features like No-Penalty SIP and Daily SIP at Rs. 10/- have helped scale our investment business with over 100,000 users investing on our platform.

We harness cutting-edge technology, data analytics, and a diverse team of creative thinkers to build a transparent and inclusive financial ecosystem. We’re now looking for like-minded folks to join our crew.

About the Role

We’re looking for a highly motivated Data Science Intern to join our Bangalore office for a 6-month full-time internship. You’ll work closely with the data science and engineering teams to build scalable data pipelines and machine learning solutions that power core product experiences.

Key Responsibilities

• Design, build, and maintain robust data pipelines for ingesting, cleaning, and transforming large datasets.
• Apply statistical and machine learning techniques to solve real-world fintech problems.
• Support user segmentation, profiling, and behavioral analytics for personalization strategies.
• Contribute to the end-to-end lifecycle of ML models — design, training, validation, deployment, and monitoring.
• Perform exploratory data analysis and generate actionable insights for business and product teams.

Requirements

• Strong foundation in Python and experience with ML frameworks.
• Understanding of supervised and unsupervised learning algorithms.
• Hands-on experience building and deploying ML models on real datasets.
• Comfortable with SQL and working on large datasets.
• Excellent problem-solving skills and ability to work independently in a fast-paced environment.

Our Process

• The Intro: Our recruitment team reviews applications to find the best fit based on skills and past work.
• Two Way Street: Interview with the hiring manager to understand mutual expectations. Assignments may be given. Pro-tip: Ask questions.
• Culture Matters: We evaluate cultural fit and ensure you find our culture suitable too. If yes, we proceed.
• The Offer: We roll out offers to candidates who meet our expectations and can be a valuable part of our crew.