Data Scientist Intern
Bengaluru
Founded in 2019 by IIT Roorkee alumni, Fam is backed by some of the most respected investors around the world like Elevation Capital, Y-Combinator, Peak XV (Sequoia Capital) India, Venture Highway, Global Founder’s Capital and the likes of Kunal Shah, Amrish Rao as angel investors.
About this Role:We're seeking a Data Science Intern who's eager to dive into data and extract meaningful insights. In this role, you'll work with large datasets, assist in building machine learning models, and contribute to data-driven decision-making processes. If you're passionate about data analysis and keen to apply your skills in a real-world setting, we'd love to have you on board.
On the Job
- Analyze large, complex datasets to identify trends, patterns, and actionable insights that drive business growth and enhance user experience.
- Assist in developing, implementing, and maintaining machine learning models to predict user behavior, assess risk, and optimize financial products.
- Collaborate with cross-functional teams, including product development, engineering, and marketing, to integrate data-driven strategies into business processes.
Must-haves (Min. qualifications)
- Currently pursuing or recently completed a degree in Computer Science, Statistics, Mathematics, or a related field.
- Proficiency in programming languages such as Python or R.
- Familiarity with data mining, statistical modeling, and machine learning algorithms.
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
Good to have
- Experience in fintech, payments, or financial services industry.
- Exposure to deep learning, NLP, or reinforcement learning techniques.
- Experience with cloud platforms (AWS, GCP, Azure) and data tools like BigQuery, Redshift, ClickHouse, etc.
- Familiarity with data engineering concepts (ETL pipelines, data lakes, etc.).
- Contributions to open-source projects or active involvement in the data science community.
Why join us?
- Work on high-impact projects that shape the future of fintech and affect millions of users.
- Opportunity to apply cutting-edge machine learning and data science techniques at scale.
- Be part of a dynamic, fast-growing company with a culture of continuous learning and innovation.
- Work with a talented, data-driven team that’s passionate about solving complex problems.
- If you're excited about leveraging data to drive innovation and have a passion for building data science solutions at scale, we'd love to hear from you!
Here’s all the tea on FamApp ☕️FamApp focuses on financial inclusion of the next generation by providing UPI & card payments to everyone above 11 years old. Our flagship Spending Account, FamX, seamlessly integrates UPI and card payments, enabling users to manage, save, and learn about their finances effortlessly.
Revolutionizing Payments and FinTechFamApp has enabled 10 million+ users to make UPI and card payments across India, removing the inconvenience of carrying cash everywhere. Users get to customise their FamX card with doodles, which lets them add a personal touch to their payments.
Trusted by leading investorsWe’re proud to be supported by renowned investors like Elevation Capital, Y-Combinator, Peak XV (formerly Sequoia Capital India), Venture Highway, Global Founder’s Capital, and esteemed angels Kunal Shah and Amrish Rao.
Join Our Dynamic TeamAt Fam, our people-first approach is reflected in our generous leave policies, flexible work schedules, comprehensive health benefits, and free mental health sessions. We don’t mean to brag, but we promise you’ll be surrounded by some of the most fun, talented and passionate people in the startup space.
Want to see what makes life at Fam so awesome? Check out our shenanigans at @lifeatfam 😛
Tags: AWS Azure BigQuery Computer Science Data analysis Data Mining Deep Learning Engineering ETL FinTech GCP Machine Learning Mathematics ML models NLP Open Source Pipelines Python R Redshift Reinforcement Learning Statistical modeling Statistics
Perks/benefits: Career development Flexible spending account Health care Parental leave Relocation support Startup environment
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