About EarlySalary :

EarlySalary is an instant line of credit to young working Indians. EarlySalary is a pioneer in introducing instant loans & salary advances and has disbursed over ~ Rs.4,000Cr worth of loans on its platform and currently disbursed nearly 100,000 loans a month. EarlySalary has raised multiple rounds of investment from global investors including Eight Roads (Fidelity) Ventures & Chiratae (IDG) Ventures and is considered one of the fastest-growing FinTech start-ups in India. With a clear focus to disrupt the finance and banking domain, EarlySalary has built a strong team focused on build Technology, mobile platform, Risk & AI/ML models to better decisioning and real-time lending. As a full-stack lender we manage both sides of the business building better technology and products for powering our lending platform and build ML models for better risk mitigation and giving real-time decisions to our customers.

Our ML & Risk Analytics Stack & Practice is focused on building a better Risk Score Card & building a high amount of automation. EarlySalary is considered one of the fastest & most automated lenders in the Industry.

ROLE & RESPONSIBILITIES

- The successful candidate will be playing a key role with another highly talented young data scientist. Aimed at solving challenging business problems through the application of advanced machine learning and AI methods.

- Should have strong fundamentals in machine learning, general statistics and data science principles.

- Should have hands on experience with some of these methods: Regression, Decision Trees, CART, Random Forest, Boosting, Evolutionary Programming, Neural Networks, Support Vector Machines, Ensemble Methods, Association Rules, Principal Component Analysis, Clustering, Artificial Intelligence, Deep learning, TensorFlow, Keras etc.

- Experience in Python, SQL is a must, familiarity with big data concepts will be an added advantage

- Strong problem solving and conceptual thinking, with the ability to communicate even complex ideas in a succinct manner to the management and other internal stakeholders

- Critical eye for the quality of data and strong desire to get it right

- Ability to work in a fast-paced and deadline driven environment

- Strong work ethics like sense of collaboration and ownership, result orientation, being team player.

Requirements:

- M.S / Mtech / Btech in Applied Mathematics, Statistics, Computer Science, Operations Research, Economics, or equivalent

- Overall 2+ years of relevant work experience in data science and handling large data sets (in TB- s)

- Hands-on expertise on analytical tools like Python, MySQL, big data technologies

- Excellent communication and interpersonal skills

- Ability to work with minimal supervision in a dynamic and timeline sensitive work environment

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