Data Science Intern

About Hireshire

Hireshire

Role Overview

Hireshire

Key Responsibilities

• Collect, clean, analyze, and transform structured & semi-structured HR and recruitment datasets
• Build predictive models for talent forecasting, attrition risk, and candidate success scores
• Develop data visualizations, dashboards, and reports using Python, SQL & BI tools
• Perform EDA (exploratory data analysis) to uncover insights that inform recruitment strategies
• Work with time-series & cohort data for trend analysis and performance metrics
• Deploy statistical and ML algorithms (regression, clustering, classification) in scalable pipelines
• Communicate findings & recommendations with clear visual and written formats to stakeholders

Requirements

• Pursuing (or recently completed) B.Tech/BE/M.Tech/MSc in Data Science, Computer Science, Statistics, or related fields
• Proficiency in Python + core libraries (Pandas, NumPy, Matplotlib/Seaborn, Scikit-learn)
• Familiarity with SQL for querying relational datasets
• Sound understanding of ML fundamentals – supervised/unsupervised learning methods
• Strong statistics foundation – distributions, hypothesis testing, probability
• Ability to interpret data, derive insights, and present conclusions clearly
• Strong communication skills, ownership mindset & enthusiasm to learn

Nice to Have (Bonus)

• Knowledge of BI tools (Power BI / Tableau / Looker / Metabase)
• Basics of cloud platforms (AWS/GCP/Azure) or Docker
• Prior exposure to HR analytics or recruitment datasets

What You’ll Get

• Practical exposure to solving real-world data problems in HR Tech
• Experience working on high-impact product features used by recruiters and hiring managers
• 1:1 mentorship by experienced data scientists and access to premium resources
• Internship Certificate & Letter of Recommendation upon successful completion
• Opportunity for a Pre-Placement Offer (PPO) at

  Hireshire

  or client companies

Hiring Process

Online Application

• Submit CV, GitHub/Kaggle links, and a brief note on your interest and experience

Technical Assessment

• Assignment to test Python, SQL, EDA, or modeling approach

Technical Interview

• In-depth discussion (45 mins) on your ML/stats understanding & problem-solving

Managerial Interview

• Evaluate communication skills, culture fit & motivation

Offer

• Selected applicants receive the internship offer with stipend details & project allocation

Onboarding

• Orientation, project assignment & setup with tools and mentors

Stipend

Stipend starts with the possibility of a higher rate based on performance in the interviews.