Data Science Intern

7 months ago

Bengaluru Karnataka, India EarnIn Full time

**ABOUT EARNIN**

As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks. Since our founding, our app has been downloaded over 13M times and we have provided access to over $15 billion in earnings.

We're fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We're growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey.

***

As a Fintech company where Machine Learning (ML) is one of the key drivers of growth, our operations highly rely on machine learning models, from business decisions to customer experiences. Therefore, building and deploying state-of-the-art machine learning systems to drive impact via our data capabilities is key. To guarantee the success of machine learning systems we need to do detailed formulation, extensive experimentation, and transform ML models to high-performance production level code, including not only implementing sophisticated machine learning algorithms but also robustness monitoring, system logging/alarming. This position will be based in **Bangalore**, **India** as part of our expanding site location and will be an 8-10 week full-time internship.

**WHAT YOU'LL DO**
- Collaborate closely with other machine learning engineers and analysts to use and train state of the art ML models for the product use cases assigned
- Understand the key metrics needed for such model evaluations
- Do in-depth data analysis to uncover insights and share with partners
- Help in ensuring improvements in our current ML systems via model, data, or experimentation upgrades
- Gain hands-on experience with a wide array of technologies including pytorch, AWS, Kafka, databricks etc

**WHAT WE'RE LOOKING FOR**
- Actively pursuing a Bachelor's or Undergraduate degree in Computer Science, Information Technology, or a related field
- Keenly interested in b machine learning systems, and eager to delve into complex business logic
- Strong understanding of statistical models, familiarity and in-depth understanding of machine learning and deep learning algorithms such as clustering and classification.
- Proficient in at least one programming language, familiar with basic data structures and algorithms.
- Having big data experience, and familiarity with distributed computation frameworks such as Hadoop, spark, hive etc. is desired but not mandatory
- Equipped with good verbal and written communication skills
- Detail-oriented, with a meticulous approach to problem-solving and project execution
- Committed to taking ownership of projects, conducting thorough investigations, and driving initiatives to conclusion

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