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Data Scientist



Data Science
Bengaluru, Karnataka, India
Posted on Friday, February 2, 2024

  • Research, design, train and deploy machine learning solutions in domains such as NLP, Computer Vision, and more.
  • Develop and embed the processes, tools, and policies needed to build robust credit strategies that are aligned with the business needs.
  • Work closely with product teams to implement new products and features using ML/DL.
  • Develop highly scalable classifiers and tools leveraging machine learning, deep learning, and rules-based models.
  • Own the Data Science model end-to-end, from data collection to model building, to monitoring the model in production.
  • Build Machine Learning and Deep Learning models in the customer lifecycle which include Personalization, Recommendation, Rewards, Referrals, Transaction Categorization, and Customer Science-related models.
  • Build production fraud and credit machine learning models; your models will decide to whom we lend in real time.
  • Conduct Data Analyses; your analyses will decide which policies we adopt, where we expand our business, and with whom we partner.
  • Partner cross-functionally with our product and finance teams to drive strategy and optimize tactics as they relate to approval rates and conversion metrics through the funnel.
  • Keep abreast of machine learning and industry developments, conduct R& D; to incorporate best-in-class modeling methodologies, and disseminate learnings within the team.


  • Bachelor's or Master's degree in Computer Science, Information management, Statistics, or a related field.
  • 2-5 years of relevant work experience in delivering projects using the agile methodology for Risk (preferably Credit Risk in Investment or Corporate Banking) and Finance projects.
  • You should have an in-depth understanding of credit, risk, and collections and are adept at building and deploying policies, models, and metrics.
  • You enjoy partnering cross-functionally to drive core credit, risk, and collection initiatives including risk appetite, and risk-based pricing.
  • Python programming skill is a must.
  • Experience with NoSQL databases such as MongoDB is a plus.
  • Experience in statistical modeling, machine learning, data mining, unstructured data analytics, and natural language processing.
  • Sound understanding of - Bayesian Modelling, Classification Models, Cluster Analysis, Neural Networks, Nonparametric Methods, Multivariate Statistics, etc.
  • Experience in Machine learning ensemble models such as Xgboost, Lightgbm, etc.
  • Strong in data analysis and data wrangling.
  • Experience with common libraries and frameworks in data science.
  • Familiarity with database queries and data analysis processes (SQL, Python).
  • Outstanding leadership, influencing, communication, interpersonal, and teamwork skills.
  • Detail-oriented, with the ability to work both independently and collaboratively.
  • Any prior research publication is a plus point.
  • People who demonstrate high ownership and have a founder's mindset.
  • People with an endless curiosity and hunger to learn.
  • Operators obsessed with customer experience.
  • Excellent communication and interpersonal skills.

This job was posted by Ankur Pal from Aplazo.