Data Scientist; Internship — Co-op
Listed on 2026-11-01
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IT/Tech
Machine Learning/ ML Engineer, Data Scientist, AI Engineer (Applied/Software), Data Analyst
- Apply scientific methodologies and techniques creatively to solve real-world problems and generate business impact
- Research data science methodologies and derive novel analytical solutions to expand the company’s solution capabilities and options
- Work with cross-functional business teams on client engagement and implementation, and discover and address users’ pain points to enhance the AP analytics platform
- Conduct data analysis using various tools and techniques
- Assist in documenting model specifications and implementation details
- Assist team members in developing and implementing statistical, machine learning, and AI solutions, models, and algorithms
- Communicate effectively with stakeholders to understand business needs and requirements
- Competitive Benefits:
Access robust medical, dental, and vision coverage - Invest in Tomorrow:
Save for the future with a retirement plan, featuring employer match - Work-Life Balance:
Enjoy generous PTO, company holidays, and expanded parental leave - Commitment to Growth:
Keep growing with continuous professional development opportunities and support - Culture of Connection:
Connect with your collaborators at fun employee events, or over in-office snacks
Solid technical skills in probability and statistics, machine learning, and optimization algorithms
Familiarity with version control systems such as Git Currently an undergraduate or graduate student graduating between 2027 and 2028
Able to set up and maintain Python environments, including virtual environments, dependency management, and package installations
Strong verbal and written communication skills, a great work ethic, a sense of ownership and intellectual curiosity, and the desire and ability to collaborate in a team environment
Proficient in Python and SQL Experience implementing common machine learning algorithms from scratch, such as linear regression, logistic regression, decision trees, k-means clustering, and Bayesian regression
Linux and R skills
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