At a Glance
- Tasks: Collaborate on data-driven solutions for smarter hiring and workforce planning.
- Company: Join WillHire, a modern staffing platform transforming talent acquisition.
- Benefits: Gain hands-on experience, mentorship, and a chance for a pre-placement offer.
- 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: Dynamic internship with real-world projects and excellent growth opportunities.
About WillHire
WillHire is a modern staffing and talent acquisition platform helping leading organizations find exceptional talent. We\βre now expanding into the Data & Analytics vertical and are looking for curious, driven, and analytical minds to join us as part of our
Artificial Intelligence Internship Cohort.
Role Overview
As a
Artificial Intelligence 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\βll 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 β supervised/unsupervised learning methods
- Strong statistics foundation β 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\βll 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
Β£16/hour
, with the possibility of a higher rate based on performance in the interviews.
Artificial Intelligence Internship employer: WillHire
Contact Detail:
WillHire Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Artificial Intelligence Internship
β¨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!
β¨Tip Number 2
Show off your skills! Prepare a mini portfolio showcasing your projects, especially those involving Python, SQL, or data visualisation. This will not only impress the interviewers but also demonstrate your hands-on experience.
β¨Tip Number 3
Practice makes perfect! Brush up on your technical skills by working through coding challenges related to data analysis and machine learning. Websites like LeetCode or Kaggle can be super helpful for this.
β¨Tip Number 4
Donβt forget to apply through our website! Itβs the best way to ensure your application gets seen. Plus, it shows youβre genuinely interested in joining the team at WillHire.
We think you need these skills to ace Artificial Intelligence Internship
Some tips for your application π«‘
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Artificial Intelligence Internship. 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!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data science and why you're excited about this internship at WillHire. Be sure to mention any specific experiences that relate to the role, as we love to see genuine enthusiasm.
Showcase Your Projects: If you have GitHub or Kaggle links, include them in your application! Weβre keen to see your hands-on experience with data analysis and machine learning. This is a great way for us to gauge your practical skills and creativity.
Apply Through Our Website: Donβt forget to submit your application through our website! Itβs the best way for us to keep track of your application and ensure it gets the attention it deserves. We canβt wait to see what you bring to the table!
How to prepare for a job interview at WillHire
β¨Know Your Tech Inside Out
Make sure you brush up on your Python skills, especially the core libraries like Pandas and NumPy. Be ready to discuss how you've used these tools in past projects or coursework, as they'll likely ask you to demonstrate your understanding of data manipulation and analysis.
β¨Show Off Your Analytical Mindset
Prepare to talk about your experience with exploratory data analysis (EDA). Think of specific examples where you've uncovered insights from data and how those insights influenced decisions. This will show them that you can think critically and apply your knowledge practically.
β¨Communicate Clearly and Confidently
Since strong communication skills are a must, practice explaining complex concepts in simple terms. You might be asked to present your findings or recommendations, so being able to articulate your thoughts clearly will set you apart from other candidates.
β¨Be Curious and Eager to Learn
Demonstrate your enthusiasm for the role by asking insightful questions about their data processes or the tools they use. Showing genuine interest in the company and its mission can make a great impression and highlight your ownership mindset.