Internships

Data Science Intern at EarnIn, Bangalore [10-week; ML]: Apply Now!

Apoorva

Jul 15, 2024
3 min read

0 Comments

Applications are being made for the Data Science Intern position at EarnIn, Bangalore. Check the eligibility and other details below!

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 13 million times, and we have provided access to over $15 billion in earnings.

Data Science Intern at EarnIn, Bangalore

EarnIn is fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, and 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.

Job Summary

As a Fintech company where Machine Learning (ML) is one of the key growth drivers, 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 perform detailed formulation, extensive experimentation, and transformation of ML models to high-performance production-level code. This includes not only implementing sophisticated machine learning algorithms but also robustness monitoring and system logging/alarming.

To help with this work, we are hiring a Data Science Intern. This position will be based in Bengaluru, India, as part of our expanding site location and will be an 8-10 week full-time internship. Ideally, the team would prefer someone based in Bengaluru who can be in the office 1-2 days a week.

Role and Responsibilities

Collaborate closely with other machine learning engineers and analysts to use and train state-of-the-art ML models for the assigned product use cases.
Understand the key metrics needed for such model evaluations
Do in-depth data analysis to uncover insights and share them 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, data bricks, etc.

Qualifications and Skill Sets

Actively pursuing bachelor’s, master’s or PhD in Computer Science, Information Technology, or a related field.
Demonstrate a keen interest in machine learning systems and eagerness to create impact via state-of-the-art data capabilities.
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.
Experience with big data 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.