Data Scientist

Gurugram, Haryana
Work Type: Full Time

First thing first, we are happy to share our success in hitting the $15M Series A Fundraise milestone, and we are all set to launch our rocket higher!!!

FinBox is a diverse team of problem solvers who believe that Digital Finance is the most effective way to drive financial inclusion. FinBox infrastructure is used by over 80+ companies to deliver credit to over 3 million customers every month. Come, do work that matters.

We are building infrastructure for the future of banking!!! Using our tools; any company can embed & build financial products & services within their app.

Banks provide financial products & services - accounts/investments/lending & insurance. The next biggest bank won't be a bank. Banking will come to the apps you use & love.

It's already happening!! Here are some examples:

- You buy your trip insurance (financial product) on GoIbibo (not a bank)

- Get your BuyNowPayLater line (a lending product) on Dunzo (not a bank)

You can find out more about us at FinBox [dot] in.

At FinBox you will be redesigning the banking rails for the world as we are committed to building the next-gen embedded finance infrastructure that helps enterprises launch FinTech offerings in hours.

Join our team in this B2B2C role to transform how companies deliver credit (personal loans, BNPL, etc.) through personalized and instantaneous experiences to customers. The engine behind this transformation is FinBox's low-code tool and an API platform that empowers companies to quickly release new world-class products to their customers in months instead of years.

## How You'll Contribute to our Data Science team

  • Analyzing big data and producing meaningful insights with demonstrable results

  • Applying rigorous experimentation and iterative analytics to steer the improvements of our products, while implementing data science

  • Creating algorithms to extract information from a large data set to perform statistical analysis and analyze the same to create predictive models

  • Creating dashboards/visualizations for monitoring

  • Distill informal customer requirements into problem definitions, dealing with ambiguity and competing objectives.

  • Document end to end process in a presentable format

  • Data gathering/pre-processing- Collect and process relevant data for Insight generation and model building

  • Distill complex results or processes into simple, clear visualizations

  • Data interpretation - generate insights and explain in an understandable manner

  • Reporting - Automation of reports using visualization tools.

  • Deploy data science and technology-based algorithmic solutions to address the business needs of our customers

  • Apply appropriate techniques, such as exploratory data analysis, regression analysis, bootstrapping, decision trees, cluster analysis, choice modeling, survival analysis, etc.

**Who You Are**

  • Strong analytical skills.

  • Data visualization and presentation.

  • Proficiency in Python/R, SQL, Excel

  • Knowledge of AWS and Git

  • Knowledge on statistical concepts and machine learning models

  • Knowledge of Data science tools, algorithms

Other things to know:

Collaborate, Take Ownership, Innovate and Improve are our core mantras. 

Come join us on a mission to democratise financial services. We believe you could be the next builder for our rocket ship.🚀🚀 

Benefits and Perks

  • Insurance for self and family    

  • Unlimited paid leaves    

  • Gym memberships

  • Mental wellness benefits

  • Apple devices and other gadgets 

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