Data Science Intern

TL;DR

Data Science Intern: Analyzing large and complex datasets to uncover insights and support data-driven decisions with an accent on building predictive models and optimizing product performance. Focus on conducting exploratory data analysis, designing experiments, and translating data findings into impactful strategies.

Location: Hybrid work model requiring 3 days per week in our downtown Toronto office.

Company

hirify.global helps Fortune 500 companies unlock massive growth with cutting-edge digital solutions as a data product company.

What you will do

• Analyze large and complex datasets using SQL, Python, or R to uncover insights, identify trends, and support data-driven business and product decisions.
• Conduct exploratory data analysis, build models, and run simulations to validate hypotheses and quantify potential outcomes.
• Assist in designing and analyzing experiments to measure performance, determine causality, and generate actionable recommendations.
• Partner with engineers, product managers, and other stakeholders to translate data findings into impactful strategies and solutions.
• Communicate insights effectively through dashboards, reports, and visual presentations that enable clear understanding and decision-making.

Requirements

• Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
• Strong analytical and problem-solving skills with a curious, data-driven mindset.
• Solid understanding of statistics, hypothesis testing, and basic machine learning techniques (e.g., regression, classification, clustering).
• Hands-on experience with Python (Pandas, NumPy, Scikit-learn) and/or R, plus familiarity with SQL for data manipulation and analysis.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

Nice to have

• Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Exposure to big data tools such as Spark, Databricks, or Delta Lake.
• Experience from academic or personal projects related to data science, analytics, or machine learning.
• Understanding of experimental design, A/B testing, or causal inference.
• Interest in AI infrastructure and data-driven product development.

Culture & Benefits

• A 4 to 12 month internship providing hands-on experience in applied data science.
• Mentorship from experienced data scientists and engineers.
• Hybrid work model: 3 days per week in our downtown Toronto office.
• Access to learning and development resources to support your professional growth.
• A collaborative, inclusive, and innovation-driven culture that values curiosity and creativity.