Data Scientist

at Kaleidofin

DP
Posted by Poornima B
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Chennai, Bengaluru (Bangalore)
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2 - 4 yrs
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Best in industry
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Full time
Skills
Machine Learning (ML)
Python
SQL
Customer Acquisition
Big Data
Data cleansing
Data Science
Responsibility
  • Partnering with internal business owners (product, marketing, edit, etc.) to understand needs and develop custom analysis to optimize for user engagement and retention
  • Good understanding of the underlying business and workings of cross functional teams for successful execution
  • Design and develop analyses based on business requirement needs and challenges.
  • Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, etc.
  • Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required.
  • Identify and use appropriate investigative and analytical technologies to interpret and verify results.
  • Apply and learn a wide variety of tools and languages to achieve results
  • Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.

Requirements
  • 2 - 4 years  of relevant experience in Data science.
  • Preferred education: Bachelor's degree in a technical field or equivalent experience.
  • Experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms.
  • Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, XGBoost, Recommender Systems, ARIMA and Anomaly Detection. Feature selection, hyper parameters tuning, model selection and error analysis, boosting and ensemble methods.
  • Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools.
  • Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.
  • Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.
  • Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE).
  • Experience in risk and credit score domains preferred.

About Kaleidofin

Kaleidofin is a neobank for the informal sector, which provides solutions tailored to the customer’s goals and are intuitive to use. We are working towards creating fair and transparent financial solutions that can target millions of customers and enterprises in India that don’t have easy access to formal financial planning. Our name “kaleidofin” is inspired by the power of financial solutions to enable beautiful possibilities of a future life for each customer.


We believe that everyone deserves and requires access to financial solutions that are intuitive and easy to use, flexible and personalised to real goals that can make financial progress and financial freedom possible for everyone.

We believe financial solutions can provide customers powerful tools that solve their real life goals and challenges. For too long, the financial services industry has been a manufacturer producing products and fitting customers to their products. At kaleidofin, we want to flip this around, keep the customer at the centre and provide mass tailored solutions that are best suited to meet the customer’s own goals/challenges.

The demand for financial services is, therefore, a demand derived from an underlying goal and aspiration of an individual. There is an urgent need to make financial services and solutions intuitive for customers and embed them in their everyday life.

kaleidofin will leverage the full India stack, existing networks, analytics, structuring and user-centred design to drive outcomes for customers, in the process, we will also help enrich the digital asset of each such customer.

Our approach is
  • To combine distinct financial products (credit, investment, insurance, savings) to form a solution that actually both resonates with and works for the customer.
  • To build customer profiling, underwriting, solution design and machine learning suitability algorithms to solve this gigantic customer problem.
  • To leverage networks such as agents, cooperatives, self-help groups, temp agencies, MFIs to deliver suitable solutions at enormous scale.

In a very short time span, global investors such as Oiko Credit, Flourish, Omidyar Network and Blume Ventures have supported Kaleidofin’s well thought out business model with $8 million in seed and Series A funding.

The company won the Amazon AI Conclave award for Fintech, was one of only ten startups chosen for the Google LaunchPad Accelerator program in 2019, was recognized as India’s Most Innovative Wealth, Asset and Investment Management Service/Product by the Internet & Mobile Association of India (IAMAI) and was selected to present at United Nations General Assembly Special Task Force Event.

With its focus to harness mobile technology to deliver a paperless experience as well as its focus to harness technology and analytics to predict the right product for the right customer, Kaleidofin aims to become a leading FinTech player bringing financial solutions to everyone.

Founded
2018
Type
Products & Services
Size
100-1000 employees
Stage
Profitable
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