Money. A subject that’s always on our mind. We go through a rollercoaster of emotions when it comes to money. That’s why 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 our customers seamless and user-friendly products related to banking, loans, and investments. So whether it’s a savings account, credit cards, investment and payments, it’s all on Jupiter. We also help users cut through the banking jargons, offer smart insights based on spending and provide users with a range of new age features to enable and make sense of their finances. 

Our journey so far:

Jupiter was founded in 2019 by Jitendra Gupta. Best known as Citrus Pay’s founder, Jiten found himself wondering why personal finance experiences were not customer-centric when everything else like food ordering and entertainment were. That’s how our journey began in 2019, with a simple, powerful idea : to create a modern, customer-centric experience that empowers individuals when it comes to their money.

From our humble beginnings, we’ve strived relentlessly to make managing money easier. In 2021 when we launched we had a waitlist with over 100,000 people eager to experience the world of Jupiter – and within 10 months we crossed 1 million users. Today, we have 2.8 million + happy users on Jupiter. 

We’ve embraced cutting-edge technology, harnessed the power of data analytics, and assembled a diverse team of creative thinkers and industry experts who share our vision for a more accessible, transparent, and inclusive financial ecosystem. We’re now looking for like-minded folks to join the crew.

About the Role:

• We’re looking for a highly motivated Data Science Intern to join our team at Jupiter’s 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 volumes of structured and unstructured data.
• Apply statistical and machine learning techniques to solve real-world fintech problems.
• Support user segmentation, profiling, and behavioral analytics to inform personalization and targeting strategies.
• Contribute to the end-to-end lifecycle of ML models — including design, training, validation, integration, 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.
• Prior hands-on experience building and deploying ML models on real datasets.
• Comfortable working with SQL and large datasets.
• Excellent problem-solving skills and the ability to work independently in a fast-paced environment.

Our Process:

We raise the bar with each hire – and evaluate our candidates to build a team of like-minded, passionate, ambitious owners. Once you apply you’re most likely to go through the following hiring process, certain roles may require more rounds. But here’s the gist – 

• The Intro: Our recruitment team goes through all the applications we receive to find the best fit. We look for skills that would be the perfect addition to our team, and past work that can vouch for it.
• Two Way Street: An interview with the hiring manager. Do you like the role? What are your expectations? These are the answers we seek. Pro-tip: Ask lots of questions. Assignments may be given. 
• Culture Matters: We don’t just value the skills we bring, we value the people we bring. This round is to see if you fit our culture & for you to find out if it works for you too. If yes, then we’re in business. If not, until next time!
• The Offer: The most crucial step – as far as we’re concerned. We roll out offers if we find a candidate has met all our expectations and can be a part of our crew!

How to apply

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