Data Science/Analyst Intern working with risk analytics and data science teams at Credibly. Engaging in projects that leverage advanced analytics and statistical techniques for business growth.
Responsibilities
Develop Predictive Models: Utilize Python and Scikit-learn (or similar frameworks) to assist in building, testing, and validating machine learning models for credit risk, fraud detection, or marketing propensity.
Exploratory Data Analysis (EDA): Perform deep-dive analysis on large datasets to identify hidden trends, correlations, and opportunities for cost savings or revenue growth.
Data Visualization & Reporting: Create dynamic dashboards and insightful reports that translate complex findings into clear recommendations for executive leadership.
Statistical Validation: Apply statistical tests to ensure the integrity of our data and the reliability of our forecasting models.
SQL Strategy: Write and optimize complex SQL queries to extract data from our MySQL databases and AWS S3 data lake for modeling and analysis purposes.
Requirements
Currently pursuing or holding a bachelor's degree or master’s degree in a quantitative field such as Computer Science, Data Science, Statistics.
Strong analytical, critical thinking and problem-solving skills.
Proficiency in Python and MySQL, with hands-on experience in using Github/Bitbucket and Jira for code management and project tracking.
Experience in or a desire to learn tools like Google Sheets for data analysis and presentation, showcasing the ability to manage and process data efficiently.
Solid written and verbal communication skills.
An exceptionally strong desire to take on ownership roles in projects, learn new skills, see how analytics can drive value in industry.
Benefits
Paid Summer Internship Program
Hands-on experience
Opportunities tailored to different interests and skill sets
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