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For Companies At a Glance
- Tasks: Collaborate on data-driven solutions for smarter hiring and workforce planning.
- Company: Join WillHire, a modern staffing platform revolutionising talent acquisition.
- Benefits: Gain practical experience, mentorship, and a chance for a pre-placement offer.
- Why this job: Work with real datasets and make an impact in HR Tech.
- Qualifications: Pursuing a degree in Data Science or related fields; Python and SQL skills required.
- Other info: Dynamic internship with opportunities for growth and learning.
About WillHire
WillHire is a modern staffing and talent acquisition platform helping leading organizations find exceptional talent. We’re now expanding into the Data & Analytics vertical and are looking for curious, driven, and analytical minds to join us as part of our AI/ML Internship Cohort.
Role Overview
As a AI/ML 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 £16/hour, with the possibility of a higher rate based on performance in the interviews.
Machine Learning Intern employer: WillHire
Contact Detail:
WillHire Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Intern
✨Tip Number 1
Get your hands dirty with real data! Dive into projects that showcase your skills in Python and SQL. We love seeing practical applications of your knowledge, so don’t hesitate to share your GitHub or Kaggle links when you apply.
✨Tip Number 2
Brush up on your communication skills! You’ll need to explain complex data insights clearly to stakeholders. Practice presenting your findings in a straightforward way, as this will set you apart during interviews.
✨Tip Number 3
Show your enthusiasm for learning! We’re looking for curious minds who are eager to grow. Mention any online courses or personal projects related to machine learning or data analytics in your application to highlight your passion.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it gives us a chance to see your interest in joining our team directly.
We think you need these skills to ace Machine Learning Intern
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Intern role. Highlight relevant skills like Python, SQL, and any projects you've done 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 AI/ML and how you see it impacting the recruitment industry. 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 sets, models, or visualisations. We love seeing practical examples of your work and how you approach problem-solving.
Be Clear and Concise: When writing your application note, keep it clear and to the point. Use straightforward language to communicate your skills and experiences. We appreciate clarity and want to understand your journey without any fluff!
How to prepare for a job interview at WillHire
✨Know Your Tech
Make sure you brush up on your Python skills, especially with libraries like Pandas and Scikit-learn. Be ready to discuss how you've used these tools in past projects or coursework, as they'll likely ask about your hands-on experience.
✨Show Off Your Data Skills
Prepare to talk about your experience with data cleaning and exploratory data analysis (EDA). Have examples ready where you've transformed messy datasets into actionable insights, as this is crucial for the role.
✨Communicate Clearly
Since you'll need to present findings to stakeholders, practice explaining complex concepts in simple terms. Think of a few key insights from your previous work that you can share, and be ready to discuss how you would visualise data effectively.
✨Be Curious and Ask Questions
Show your enthusiasm for learning by asking insightful questions about the company's data challenges and the tools they use. This not only demonstrates your interest but also helps you gauge if the company is the right fit for you.