Data Science Intern
@ WillHire

Hybrid
£17,000
Hybrid
Intern
Posted 21 days ago

Your Application Journey

Personalized Resume
Apply
Email Hiring Manager
Interview

Email Hiring Manager

XXXXXXXX XXXXXXXXXXX XXXXXXXXX***** @willhire.com
Recommended after applying

Job Details

About WillHire

WillHire is a modern staffing and talent acquisition platform helping leading organizations find exceptional talent. The company is now expanding into the Data Science vertical and is seeking curious, driven, and analytical minds for its Data Science Internship Cohort.

Role Overview

As a Data Science Intern at WillHire, you will collaborate with engineering and strategy teams to design data-driven solutions for smarter hiring, workforce planning, and operational decisions. This hands-on role involves working with 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 to uncover insights that inform recruitment strategies.
  • Work with time-series and cohort data for trend analysis and performance metrics.
  • Deploy statistical and machine learning algorithms (regression, clustering, classification) in scalable pipelines.
  • Communicate findings and recommendations using clear visual and written formats.

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.
  • Sound understanding of machine learning fundamentals and statistics.
  • Ability to interpret data, derive insights, and present conclusions clearly.
  • Strong communication skills, ownership mindset, and enthusiasm to learn.

Nice to Have (Bonus)

  • Knowledge of BI tools such as Power BI, Tableau, Looker, or 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 client companies.

Hiring Process

  • Online Application: Submit CV, GitHub/Kaggle links, and a brief note of interest.
  • Technical Assessment: Assignment to test skills in Python, SQL, EDA, or modeling.
  • Technical Interview: In-depth discussion (45 mins) on ML/stats understanding and problem-solving.
  • Managerial Interview: Evaluate communication skills, cultural fit, and motivation.
  • Offer: Selected applicants receive the internship offer with stipend and project details.
  • Onboarding: Orientation, project assignment, and setup with tools and mentors.

Stipend

The minimum stipend starts at £17/hour, with possibilities for a higher rate based on interview performance.

Key skills/competency

  • Data Analysis
  • Python
  • SQL
  • Machine Learning
  • Statistics
  • Data Visualization
  • EDA
  • Predictive Modeling
  • HR Analytics
  • Communication

How to Get Hired at WillHire

🎯 Tips for Getting Hired

  • Customize your resume: Highlight Python, SQL, and data skills.
  • Showcase projects: Share GitHub or Kaggle portfolios.
  • Practice technical assessments: Prepare for coding and ML challenges.
  • Prepare for interviews: Demonstrate clear problem-solving abilities.

📝 Interview Preparation Advice

Technical Preparation

Review Python libraries usage.
Practice SQL query exercises.
Study statistical testing concepts.
Work on basic ML model projects.

Behavioral Questions

Describe a teamwork success story.
Explain a challenge during project work.
Share an example of clear communication.
Discuss learning from past mistakes.

Frequently Asked Questions