Data Analyst Intern – AI & AgriTech Focus (Remote)

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Posted:1 day ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Part Time

Job Description

Location

: Remote (India-based preferred)

Type

: Internship (3–6 months) | Stipend: Yes

Start Date

: Immediate

About HoGo Fresh

HoGo Fresh

is a mission-driven agri-tech company transforming the way food moves from farms to consumers. We leverage technology to create clean, transparent, and climate-resilient supply chains—empowering farmers while reducing food waste.

Role Overview

We are looking for a curious and analytical

Data Analyst Intern

who’s not only comfortable working with data—but also understands how data feeds into

AI/ML models

. This internship offers hands-on experience with real-world datasets from agriculture, supply chain, and customer behavior—all in a fast-paced, impact-driven environment.

Responsibilities

  • Collect, clean, and analyze structured and unstructured data from various sources (farm, logistics, consumer apps).
  • Build visual dashboards and basic data pipelines using Excel, SQL, or Python tools (e.g., Pandas, NumPy).
  • Assist the AI team in preparing datasets for training and evaluation of ML models (e.g., yield prediction, pricing, routing).
  • Collaborate with tech, R&D, and operations teams to identify data-driven insights.
  • Document findings and create presentations to support product or business decisions.

You Should Have

  • Pursuing or completed a degree in Data Science, Statistics, Computer Science, Agriculture Informatics, or a related field.
  • Proficiency in Excel and at least one of: Python, R, or SQL.
  • Understanding of data preparation for AI/ML models (e.g., feature selection, labeling, preprocessing).
  • Strong analytical thinking, attention to detail, and ability to interpret trends and patterns.
  • Bonus: Familiarity with visualization tools (Power BI, Tableau, Google Data Studio) or ML libraries (scikit-learn, TensorFlow).

What You’ll Gain

  • Exposure to real agri-tech data challenges at scale
  • Mentorship in AI data workflows, model prep, and business intelligence
  • Opportunity to collaborate cross-functionally in a purpose-driven startup
  • Potential for a Pre-Placement Offer (PPO) based on performance
  • Comprehensive health and wellness benefits tailored to interns, such as free webinars and consultations with industry professionals.
  • Access to a vast network of agricultural and technological entrepreneurs for guidance on career planning.
  • Monthly learning workshops focusing on leadership, innovation, and applied technologies in agri-supply chains.
Skills: data cleaning,data analysis,data visualization,python,datasets,analytical thinking,attention to detail,data,supply,agriculture,sql,excel,models

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