Data Science Contractor

POSITION SUMMARY

As a Fintech company, Machine Learning (ML) and Analytics Engineering are two of the key drivers of growth. 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 conduct detailed formulation, extensive experimentation, and transform ML models into high-performance, production-level code, including implementing sophisticated machine learning algorithms, robustness monitoring, and system logging and alarming. To help with this work, we are hiring a Data Science Contractor for the Analytics Engineering Team.

This position will be based in Bengaluru, India, as part of our expanding site location and will be a February to June/July 2026 (approximately) contract role targeting University students. Ideally, the team would prefer someone based in Bengaluru who can be in the office 2 days a week.

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 them with the partner

• Help in ensuring improvements in our current ML systems via model, data, or experimentation upgrades

• Gain hands-on experience with various technologies, including PyTorch, AWS, Kafka, data bricks, etc.

WHAT WE'RE LOOKING FOR

•  Actively pursuing a 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, with a familiarity with basic data structures and algorithms.

• Having experience with big data and familiarity with distributed computation frameworks, such as Hadoop, Spark, and Hive, 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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