Data Scientist Intern

About FarMart:

FarMart is a modern food supply network connecting farming communities, food businesses, and consumers. We are seamlessly integrating food value chains. We source produce scalably via our first-mile platform, optimize processing through an asset-light model, and subsequently distribute finished food digitally. By consolidating complex supply and distribution channels on a single platform, we are changing the way food is bought and sold in India and the world. Our mission is to create more resilient, reliable, and rewarding food value chains for humanity. At FarMart, we're dedicated to building the good food economy.

We're proud to be backed by renowned venture capitalists, including General Catalyst, Matrix Partners, Omidyar Network, and Avaana Capital, who invest in sustainable and purpose-driven tech companies. Our trusted partners include industry leaders like ITC, Sugna, Adani, Olam, Britannia, Glencoe, and Coffeco, among many others.

Founded by childhood friends Alekh Sanghera and Mehtab Singh Hans in 2015, FarMart set out to create a scalable tech solution that would make farming a reputable, profitable, and preferred profession for the next generation. Since our launch in 2015, we've established partnerships with over 230,000 farm aggregators and have positively impacted the lives of 3.2 million farmers and more than 2,000 food businesses worldwide.

To learn more about us, you can refer to the following media coverage:

• Moneycontrol

• Hindu Business Line

• YourStory

About Us:

At FarMart, we leverage cutting-edge data science techniques to create solutions that drive business success. As a rapidly growing company in [industry], we are seeking a Data Science Intern to join our team and gain real-world experience in applying data analytics and machine learning.

What you will do:

• Work with data teams to collect, clean, and prepare large datasets for analysis.

• Apply machine learning techniques to build predictive models and algorithms.

• Conduct exploratory data analysis (EDA) and create data visualizations to communicate insights.

• Support the implementation of models into production environments.

• Collaborate with stakeholders to understand business needs and provide data-backed solutions.

• Participate in research and development of new methods and tools for analyzing data.

  
  

What you should have :

• Pursuing a degree in Data Science, Computer Science, Mathematics, or a related field.

• Experience with Python (including libraries like Pandas, Matplotlib, and Seaborn).

• Familiarity with machine learning algorithms and frameworks (e.g., Scikit-learn, TensorFlow, or PyTorch).

• Proficient in SQL and data extraction.

• Strong analytical and problem-solving skills.

• Ability to work in a fast-paced environment and manage multiple tasks.

• Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud is a plus.