Learn side-by-side from experienced data scientists to mentor and guide you through hands-on projects.
Understand applications of data science and machine learning in the domains of fintech and financial services.
Build code to extract data, test and train machine learning models, and assess model performance.
Learn emerging trends in machine learning and identify opportunities for their applications.
Synthesize findings into actionable insights and tailor conclusions to stakeholders of various backgrounds.
Understand how machine learning projects are managed to drive a clear path to production and measurable impact.

Requirements

Currently enrolled in a Master’s program or a rising senior in a Bachelor’s program in a quantitative field such as Data Science, Computer Science, Mathematics, Statistics, Finance, or other related domain.
Excellent problem-solving and critical thinking skills.
Strong foundational knowledge of Python for data science and analytics through hands-on projects in coursework or self-study.
Understanding of common machine learning approaches in regression and classification, as well as common performance diagnostics.
Strong written and verbal communication skills.
Adaptable and comfortable working collaboratively and independently.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Pythondata sciencemachine learningregressionclassificationperformance diagnosticsdata extractionmodel trainingmodel assessmentquantitative analysis

Soft Skills

problem-solvingcritical thinkingwritten communicationverbal communicationadaptabilitycollaborationindependence