Data Science Intern
@ WillHire

Hybrid
£35,360
Hybrid
Intern
Posted 1 day ago

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Job Details

About WillHire

WillHire is a modern staffing and talent acquisition platform helping leading organizations find exceptional talent. They are expanding into the Data Science vertical and are seeking curious, driven, and analytical minds for their 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 decision-making. This 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 for recruitment strategies.
  • Work with time-series and cohort data for trend analysis and performance metrics.
  • Deploy statistical and ML algorithms (regression, clustering, classification) in scalable pipelines.
  • Communicate findings and recommendations clearly 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 and core libraries (Pandas, NumPy, Matplotlib/Seaborn, Scikit-learn).
  • Familiarity with SQL for querying relational datasets.
  • Sound understanding of machine learning fundamentals and statistical concepts.
  • Strong 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 with 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 on your interest and experience.
  • Technical Assessment: Assignment to test Python, SQL, EDA, or modeling approach.
  • Technical Interview: In-depth discussion on machine learning/statistics understanding and problem-solving (45 mins).
  • Managerial Interview: Evaluate communication skills, culture fit, and motivation.
  • Offer: Selected applicants receive the internship offer with stipend details and project allocation.
  • Onboarding: Orientation, project assignment, and setup with tools and mentors.

Compensation

Stipend starts at £17/hour with potential for a higher rate based on interview performance.

Key skills/competency

  • Data Analysis
  • Python
  • SQL
  • Machine Learning
  • EDA
  • Statistical Modeling
  • Data Visualization
  • Predictive Analytics
  • Dashboard Development
  • HR Analytics

How to Get Hired at WillHire

🎯 Tips for Getting Hired

  • Research WillHire's culture: Study their mission, values, and news.
  • Customize your resume: Highlight relevant Python and SQL projects.
  • Prepare for technical tests: Practice ML and EDA exercises.
  • Showcase communication skills: Provide clear explanations and insights.

📝 Interview Preparation Advice

Technical Preparation

Practice Python coding challenges.
Review SQL query exercises.
Study machine learning algorithms.
Perform exploratory data analysis.

Behavioral Questions

Describe a challenging project experience.
Explain your teamwork approach under pressure.
Detail a time you solved a complex problem.
Demonstrate your learning adaptability.

Frequently Asked Questions