Data Science Intern

Position OverviewAt ShyftLabs, we live and breathe data and we want you to, too. We help Fortune 500 companies unlock massive growth with cutting-edge digital solutions.We're not just looking for interns, we're looking for the next generation of data innovators. If you're passionate about applying data-driven thinking to real-world challenges, this opportunity is for you. As part of our team, you’ll work closely with experienced data scientists and engineers to uncover insights, build predictive models, and contribute to optimizing the performance and efficiency of our products.This internship will last between 4 - 12 months, offering hands-on experience in analytics, experimentation, and applied machine learning within a fast-paced data product company.What you'll be doingData Analysis & Research: Analyze large and complex datasets using SQL, Python, or R to uncover insights, identify trends, and support data-driven business and product decisionsModeling & Simulation: Conduct exploratory data analysis, build models, and run simulations to validate hypotheses and quantify potential outcomesExperimentation & Causal Inference: Assist in designing and analyzing experiments to measure performance, determine causality, and generate actionable recommendationsCross-Functional Collaboration: Partner with engineers, product managers, and other stakeholders to translate data findings into impactful strategies and solutionsReporting & Visualization: Communicate insights effectively through dashboards, reports, and visual presentations that enable clear understanding and decision-makingWhat You BringCurrently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative fieldStrong analytical and problem-solving skills with a curious, data-driven mindsetSolid 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 analysisExcellent communication and collaboration skills, with the ability to work effectively in a team environmentNice to haveFamiliarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learnExposure to big data tools such as Spark, Databricks, or Delta LakeExperience from academic or personal projects related to data science, analytics, or machine learningUnderstanding of experimental design, A/B testing, or causal inferenceInterest in AI infrastructure and data-driven product developmentWhat We OfferA 4 to 12 month internship providing hands-on experience in applied data scienceMentorship from experienced data scientists and engineersHybrid work model: 3 days per week in our downtown Toronto officeAccess to learning and development resources to support your professional growthA collaborative, inclusive, and innovation-driven culture that values curiosity and creativityInclusion at ShyftLabsWe’re building something big, and we want you on the journey with us. If you’re ready to use data and innovation to make an impact, apply today and let’s grow together.ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse, and inclusive environment. We encourage applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, and nationality to apply. If you require accommodation during the interview process, let us know and we’ll be happy to support you.