Data Science Intern
@ WillHire

Hybrid
$41,600
Hybrid
Intern
Posted 12 hours ago

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Job Details

About WillHire

WillHire is a modern staffing and talent acquisition platform that helps leading organizations find exceptional talent. We are expanding into the Data Science vertical and are looking for curious, driven, and analytical minds to join us as part of our Data Science Internship Cohort.

Role Overview

As a Data Science Intern at WillHire, you will work with our engineering and strategy teams to design data-driven solutions that power smarter hiring, workforce planning, and operational decision-making. This hands-on role involves working on real business datasets to build production-ready analytics models and dashboards.

Key Responsibilities

  • Collect, clean, analyze, and transform structured and 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, and BI tools.
  • Perform exploratory data analysis (EDA) to uncover insights that inform recruitment strategies.
  • Work with time-series and cohort data for trend analysis and performance metrics.
  • Deploy statistical and ML algorithms such as regression, clustering, and classification in scalable pipelines.
  • Communicate findings and recommendations clearly to stakeholders with visuals and reports.

Requirements

  • Pursuing or recently completed B.Tech/BE/M.Tech/MSc in Data Science, Computer Science, Statistics, or related fields.
  • Proficiency in Python and core libraries (Pandas, NumPy, Matplotlib/Seaborn, Scikit-learn).
  • Familiarity with SQL for querying relational datasets.
  • Strong foundation in ML fundamentals including supervised and unsupervised learning methods.
  • Solid understanding of statistics including distributions, hypothesis testing, and probability.
  • Ability to interpret data, derive insights, and present conclusions clearly.
  • Excellent communication skills, ownership mindset, and 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 and Letter of Recommendation upon successful completion.
  • Opportunity for a Pre-Placement Offer (PPO) at WillHire or with client companies.

Hiring Process

  • Online Application: Submit CV, GitHub/Kaggle links, and a brief note on your interest and experience.
  • Technical Assessment: Complete an assignment testing Python, SQL, EDA, or modeling approach.
  • Technical Interview: Engage in a 45-minute discussion on ML/statistics understanding and problem-solving.
  • Managerial Interview: Evaluate communication skills, fit with company culture, and motivation.
  • Offer: Selected candidates receive an internship offer with stipend details and project allocation.
  • Onboarding: Undergo orientation, project assignment, and setup with tools and mentors.

Stipend Details

Minimum stipend starts at $20/hour, with the possibility of a higher rate based on performance in the interviews.

Key skills/competency

Data Science, Python, SQL, Machine Learning, Statistics, EDA, Data Visualization, Predictive Modeling, HR Analytics, BI Tools

How to Get Hired at WillHire

🎯 Tips for Getting Hired

  • Customize Resume: Tailor skills to Data Science Intern role.
  • Highlight Projects: Emphasize Python, SQL, and ML projects.
  • Research WillHire: Understand their platform and HR tech impact.
  • Prepare for Interviews: Practice coding, EDA, and ML concepts.

📝 Interview Preparation Advice

Technical Preparation

Review Python core libraries examples.
Practice SQL queries on sample datasets.
Study ML algorithms and statistics basics.
Work on data visualization tutorials.

Behavioral Questions

Describe a challenging project experience.
Explain teamwork in solving complex problems.
Discuss decision-making under pressure.
Share growth mindset experiences.

Frequently Asked Questions