Data Science | Fintech | Bangalore | 5 to 9 years experience

Bangalore Permanent
  • Opportunity to make strategic decisions for the organization
  • Opportunity to build things from scratch

About Our Client

Our client is a Fintech data infrastructure platform

Job Description

As Data Scientist, you will:

  • Build a state-of-the-art decisioning platform that fuels the future of fintech.
  • Leverage an entrepreneurial mindset in a well-funded early-stage start-up with a passion for solving fintech challenges
  • Data mining or extracting usable data from valuable data sources
  • Utilise ML tools to select features, create and optimize classifiers
  • Processing, cleansing, and validating the integrity of data to be used for analysis
  • Analyse large amounts of information to find patterns and solutions
  • Developing prediction systems and machine learning algorithms
  • Propose solutions and strategies to tackle business challenges
  • Collaborate with Business, Product and IT teams

The Successful Applicant

As a successful candidate, you will have :

  • A desire to build products/solutions that solve complex problems for customers and Strong desire to work in an fast moving global start-up environment
  • Exposure to Fintech Credit risk score or Fraud risk score is preferable.
  • Knowledge of statistical programming languages like R, Python and languages like Scala, Java, SQL is desirable.
  • Statistics - Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc.
  • ML - good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests.
  • Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques.
  • Exposure to Data Wrangling.
  • Experience with Data Visualization tools like d3.js, Tableau etc.. that help to visually encode data
  • Analytical mind and great business sense

What's on Offer

  • Build the Data science patch from scratch
  • Work in a fast paced environment
Quote job ref

Job summary

Sub Sector
Machine Learning
What is your area of specialisation?
Financial Services
Job Type
Job Reference

Diversity & Inclusion at Michael Page

We don't just accept difference - we celebrate it. We encourage applicants from all backgrounds to apply for this role and are committed to building inclusive, diverse workplaces where everyone can thrive. If you require any support or reasonable adjustments during the recruitment process, please let us know.