Data Scientist Intern
hace 1 día
DescriptionAbout StoriAt Stori, we believe financial opportunity should be for everyone — not just a few. Born in Mexico in 2018, we are a fast-growing fintech unicorn with a bold mission: to democratize access to credit and financial services for more than 400 million of underbanked people across Latin America.With over 4 million customers, a proud Mexican heart, and a vibrant team of 1,000+ Storians and Talent Hubs across 5 countries (Mexico, Colombia, Argentina, USA and China), we're redefining what financial inclusion means.We move fast, think big, and are building simple, transparent, and inclusive financial products that make a real difference in people's lives.If you're looking for a place where your ideas matter, your impact is real, and your career can take off — welcome to Stori.About the Stori Spark InternshipSpark your future. Win experience. Win impact. Win more with Stori.Stori Spark is our internship program designed for final-year students who are eager to jumpstart their careers in fintech, data, and strategy.This is not a coffee-fetching kind of internship. From day one, you'll be solving real problems, working with top-tier talent, and making meaningful contributions that drive real business impact.You'll also receive structured training, mentorship from experienced professionals.And if you spark the change we're looking for — you could earn a full-time offer to launch your career at Stori.Program Details:Duration: 12 monthsLocation: Mexico City (Hybrid – Remote + 2 days in-office)Time Commitment: 25–30 hours per week, flexible around your university scheduleCareer Acceleration: High-performing interns will be fast-tracked for Junior Analyst roles (Business, Data & Analytics, and Data Science)Because your first step should be one that matters.>>> To learn more about Stori, our culture, and the Spark Internship Program, click here.Your Role:As a Data Scientist Intern at Stori, you will turn data into decisions and unlock insights that fuel smarter business growth.You'll build predictive models, design causal experiments, and transform complex data into clear, actionable strategies. From evaluating credit risk through advanced modeling (like ROC curves) to designing A/B tests that optimize marketing investment, your work will directly influence critical decisions. RequirementsPursuing a Bachelor's, Master, or PhD degree in quantitative fields such as Math/CS/Engineer/Economics/ScienceStrong communication skills, especially around technical and analytical topics.Experience with Python for data analysis.Academic or practical exposure to machine learning model development.Academic or practical exposure with large-scale data analysis.Fluency in English.Ability to leverage AI-powered tools responsibly to enhance code development, automate data cleaning, generate synthetic datasets, and support model optimization in day-to-day work.Applied AI for Technical Tasks.AI-Augmented Research & Model Solving.Responsible Use of AI Tools.Digital & AI Fluency.
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