Data Science Interns

Internship On Site (Internship) @Locus in Data Science
  • Bengaluru View on Map
  • Post Date : February 27, 2022
  • Apply Before : March 29, 2022

Job Description

Locus’ backstory

Locus was started by two Amazon engineers Nishith Rastogi and Geet Garg. Nishith was profiled by Forbes Asia in their ’30 Under 30’ 2018 list and holds a Bachelor’s in Electronics and a Master’s in Economics from BITS Pilani. Geet holds a dual degree (BTech and MTech) in Computer Science and Engineering from the Indian Institute of Technology – Kharagpur. Our multifaceted product, data science, and business teams consist of Ph. Ds and senior members from companies like Barclays, Google, Amazon, BluJay, among others.

Office Location –

This is the job you are searching for if you love:

  • Data gathering and conduct Exploratory Data Analysis (EDA)
  • Designing models and developing algorithms using feature engineering, statistical modeling, and machine learning techniques
  • Applying models, check metrics, iterate to meet target model performance
  • Showcasing your work and visualization chops in appropriate forums
  • Building PoCs for the different ML-driven product use-cases
  • Doing literature survey on various state-of-the-art developments in the area of logistics and supply chain
  • Collaborating with the data science, business, and product stakeholders
  • Iterating over your own solutions quickly to reach the final acceptable solution
  • Code quality – comes close 2nd.
  • SQL, Statistics, and Probability, playing with big-data
  • Writing research articles, blogs and publications

You could be the next game changer at Locus if you:

  • Possess the ability to understand complex problem statements and ask the right questions to get more clarity
  • Have good coding skills – Python (preferred)
  • Use of scientific libraries similar to and not limited to pandas, matplotlib, nltk, numpy, sklearn, seaborn, scipy, etc.
  • Are good at Data Visualization
  • Prior experience of Data Science projects over kaggle or similar platforms
  • Are comfortable with Statistics and Probability, Data Structures and Algorithms and Mathematics of Machine Learning
  • Possess critical and creative thinking
  • Armed with:

– Knowledge of SQL and NoSQL databases is a plus

– Knowledge in logistics and supply chain industries is a big plus


  • Healthy catered meals at the office 
  • You decide your own Work From Home (WFH) and Out Of Office (OOO)
  • Pet-friendly – bring your pets to the office any day. Locus family already has a Rottweiler and a Beagle

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