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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.
- Other info: Opportunity for a Pre-Placement Offer and access to premium resources.
- 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.
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 an edge!
✨Tip Number 2
Prepare for your technical assessment by brushing up on Python and SQL. Work on some real datasets to get comfortable with data cleaning and analysis. The more hands-on practice you have, the more confident you'll feel during the assessment!
✨Tip Number 3
During interviews, don’t just talk about your skills—show them! Bring along a portfolio of projects you've worked on, especially those involving data visualisation or predictive modelling. This will help you stand out and demonstrate your practical experience.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the team at WillHire. Good luck!
We think you need these skills to ace Data Science Intern
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Science role. Highlight your proficiency in Python, SQL, and any relevant projects you've worked on. We want to see how you can contribute to our team!
Show Your Passion: In your application, let us know why you're excited about data science and working with us at WillHire. Share any personal projects or experiences that showcase your enthusiasm for the field. We love seeing candidates who are genuinely interested!
Be Clear and Concise: When writing your application note, keep it straightforward and to the point. Clearly outline your relevant experience and skills, and don’t forget to mention any tools or techniques you’re familiar with. We appreciate clarity!
Apply Through Our Website: Make sure to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at WillHire
✨Know Your Data Science Basics
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 and are eager to apply your knowledge.
✨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 practical experience will help you stand out.
✨Communicate Clearly
During the interviews, focus on articulating your thought process clearly. Whether discussing your approach to exploratory data analysis or presenting findings, clear communication is key. Practice explaining complex concepts in simple terms to ensure everyone understands your insights.
✨Be Curious and Ask Questions
Show your enthusiasm for the role by asking insightful questions about the company’s data practices or the specific projects you might work on. This not only demonstrates your interest but also helps you gauge if the internship aligns with your career goals.