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For Companies At a Glance
- Tasks: Analyse real business datasets and build predictive models for smarter hiring.
- Company: Join WillHire, a modern staffing platform transforming talent acquisition.
- Benefits: Earn a competitive stipend, gain mentorship, and receive a certificate upon completion.
- Why this job: Make an impact in HR Tech while developing your data science skills.
- Qualifications: Pursuing a degree in Data Science or related fields with Python and SQL skills.
- Other info: Opportunity for a Pre-Placement Offer and access to premium resources.
About WillHire
WillHire is a modern staffing and talent acquisition platform helping leading organizations find exceptional talent. We’re now expanding into the Data Sciencevertical and are looking for curious, driven, and analytical minds to join us as part of our Data Science Internship Cohort.
Role Overview
As an Data Science Intern at WillHire, you will collaborate with our engineering and strategy teams to design data-driven solutions that power smarter hiring, workforce planning, and operational decision-making. This is a hands-on role where you’ll work on real business datasets to build production-ready analytics models and dashboards.
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 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 (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
Minimum stipend starts at £17/hour, with the possibility of a higher rate based on performance in the interviews.
Data Science Intern employer: WillHire
Contact Detail:
WillHire Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Intern
✨Tip Number 1
Network like a pro! Reach out to current or former interns at WillHire on LinkedIn. Ask them about their experiences and any tips they might have for the interview process. Personal connections can give you insights that you won't find anywhere else.
✨Tip Number 2
Show off your skills! When you get the chance, share your projects or GitHub links that showcase your data science abilities. Make sure to highlight any predictive models or dashboards you've built – this is your time to shine!
✨Tip Number 3
Prepare for the technical assessment by brushing up on Python and SQL. Do some practice problems related to EDA and modelling approaches. The more comfortable you are with these tools, the more confident you'll feel during the assessment.
✨Tip Number 4
Don’t forget to express your enthusiasm! During interviews, let them know why you're excited about the role and how you can contribute to their team. A positive attitude can set you apart from other candidates.
We think you need these skills to ace Data Science Intern
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Science role. Highlight relevant skills like Python, SQL, and any projects you've worked on that relate to data analysis or machine learning. We want to see how your experience aligns with what we're looking for!
Show Your Passion: In your application, let us know why you're excited about this internship. Share your enthusiasm for data science and how you see it impacting recruitment. A genuine interest can really make your application stand out!
Include Your Projects: Don’t forget to include links to your GitHub or Kaggle profiles! Show us your hands-on experience with data projects. We love seeing practical applications of your skills, so make sure we can check out your work.
Be Clear and Concise: When writing your application note, be clear and concise. Communicate your thoughts effectively, as strong communication skills are key for this role. Remember, we’re looking for clarity in both your written application and future discussions!
How to prepare for a job interview at WillHire
✨Know Your Data Science Fundamentals
Make sure you brush up on your machine learning fundamentals and statistics. Be ready to discuss supervised and unsupervised learning methods, as well as how to interpret data and derive insights. This will show that you have a solid foundation for the role.
✨Showcase Your Technical Skills
Prepare to demonstrate your proficiency in Python and SQL during the technical assessment. Have examples ready from your past projects or coursework where you've used libraries like Pandas or Scikit-learn. This will help you stand out as a candidate who can hit the ground running.
✨Communicate Clearly and Effectively
Since strong communication skills are key for this role, practice explaining your thought process and findings clearly. Use visual aids if possible, and be prepared to discuss how you would present your insights to stakeholders. This will highlight your ability to convey complex information simply.
✨Demonstrate Your Curiosity and Enthusiasm
During the interview, express your eagerness to learn and grow in the field of data science. Share any personal projects or online courses you've taken related to HR analytics or recruitment datasets. This will show that you're not just looking for an internship, but are genuinely interested in contributing to the team.