AI/ML Intern

Job Description

About Company

HireShire is a modern staffing and talent acquisition platform dedicated to assisting leading organizations in finding exceptional talent. The company is currently expanding its operations into the Data & Analytics vertical, seeking to incorporate data-driven solutions into its services.

Job Description

Role Title: AI/ML Intern

Role Overview:
As an AI/ML Intern at HireShire, you will collaborate closely with both the engineering and strategy teams. The primary objective is to design and implement data-driven solutions that enhance various aspects of the hiring process, workforce planning, and operational decision-making. This is a hands-on position where interns will work with 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 Business Intelligence (BI) tools.
• Perform Exploratory Data Analysis (EDA) to uncover insights that can inform recruitment strategies.
• Work with time-series and cohort data for trend analysis and performance metrics.
• Deploy statistical and Machine Learning (ML) algorithms (suchg as regression, clustering, and classification) in scalable pipelines.
• Communicate findings and recommendations with clear visual and written formats to stakeholders.

Requirements:
• Currently pursuing (or recently completed) a B.Tech/BE/M.Tech/MSc degree in Data Science, Computer Science, Statistics, or related fields.
• Proficiency in Python and its core libraries, including Pandas, NumPy, Matplotlib/Seaborn, and Scikit-learn.
• Familiarity with SQL for querying relational datasets.
• A sound understanding of Machine Learning fundamentals, including supervised and unsupervised learning methods.
• A strong foundation in statistics, covering distributions, hypothesis testing, and probability.
• Ability to interpret data, derive insights, and present conclusions clearly.
• Strong communication skills, an ownership mindset, and enthusiasm to learn.

Nice to Have (Bonus):
• Knowledge of BI tools such as Power BI, Tableau, Looker, or Metabase.
• Basic understanding 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 within HR Tech.
• Experience working on high-impact product features utilized by recruiters and hiring managers.
• 1:1 mentorship from experienced data scientists and access to premium resources.
• An Internship Certificate and Letter of Recommendation upon successful completion.
• Opportunity for a Pre-Placement Offer (PPO) at HireShire or client companies.

Hiring Process:
1. Online Application: Submit CV, GitHub/Kaggle links, and a brief note on your interest and experience.
2. Technical Assessment: An assignment to test Python, SQL, EDA, or modeling approach skills.
3. Technical Interview: An in-depth discussion (45 minutes) on your ML/statistics understanding and problem-solving abilities.
4. Managerial Interview: Evaluation of communication skills, culture fit, and motivation.
5. Offer: Selected applicants receive the internship offer, including stipend details and project allocation.
6. Onboarding: Orientation, project assignment, and setup with necessary tools and mentors.

Stipend:
The minimum stipend starts at £17/hour, with the possibility of a higher rate based on performance in the interviews.