Data Science - ML Intern

Engineering
Bangalore
Internship

About Us:

Swift is building a next-generation checkout stack for India - a platform rolling up payments and logistics solutions for all fulfillment needs. We give businesses the opportunity to provide a customer experience at par with the likes of Amazon and Flipkart, all the while saving money and time.

We believe there are many things a seller or small business has to worry about when selling online; logistics/payments etc. shouldn't be one of them. With our solution, SMBs and D2C brands get access to technologies and services like next-day delivery, same-day delivery, live package tracking, Card/Cash on delivery, scheduled delivery, etc., making parcel delivery just as simple as collecting payment.

We are building the #1 checkout platform which is reliable, easy to use, and affordable.

Our Requirements:

Basic Qualifications

  • Pursuing bachelor or equivalent advanced degree from a top tier Technology school
  • Experience in Python/R
  • Excellent Microsoft Office skills, including strong working knowledge of Excel
  • Problem-solving ability and passion for big data
  • Excellent communication and data presentation skills
  • Fluent written and spoken English

Preferred Qualifications

  • Masters or equivalent advanced degree in Computer Science, Computer Engineering, Statistics, Mathematics, or related technical discipline. Hands-on experience and project-based learning in computer science, engineering, or mathematics is preferred.
  • Academic experience in manipulating/transforming data, model selection, model training, cross-validation, and deployment at scale.
  • Academic or Project Experience with Machine and Deep Learning toolkits such as MXNet, TensorFlow, Caffe, and PyTorch.
  • Academic Experience with Big Data platforms like Apache Spark and Hadoop.
  • Familiarity with data processing with Python, R & SQL.

About the role

Swift is looking for a Data Scientist for an Internship to optimize one of the most complex logistics systems in the world. Academic and/or practical background in Computer Science, Engineering, Operations Research, or Process Control is particularly relevant for this position. Experience in the integration of model-based engineering tools and/or multidisciplinary analysis & optimization is also a plus.

Major Responsibilities

  • Use data analyses and statistical techniques to develop solutions to improve customer experience and to guide business decision making
  • Identify predictors and causes of business-related problems and implement novel approaches related to forecasting and prediction
  • Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations
  • Collaborate with multiple teams as a leader of quantitative analysis and where you develop solutions that utilize the highest standards of analytical rigor and data integrity
  • Analyze and solve business problems at their root

Key Takeaways

  • The opportunity to work closely with founders to define, scope, estimate and plan various aspects of the product. You will be involved in both high and low-level decision making. This means a lot of ownership, which we cultivate by having a flat structure.
  • Be a part of a small, but a super capable team.