Data Engineer, AI/ML Intern

Summary

Join Coalition's Data team as an intern and contribute to the vital efforts of our data team, helping define, model, and solve real-world insurance problems using various data-driven approaches.

Requirements

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Statistics, Mathematics or related technical discipline
• You are entering your 4th year at university or final year for an advanced degree
• Strong familiarity with Python, and ability to code and iterate independently on top of data infrastructure tools like Jupyter notebooks, standard ML libraries, Spark, etc
• Understanding of statistical modeling/machine learning/ data mining concepts, and a track record solving problems with these methods
• Ability to apply statistical/machine learning techniques such as hypothesis testing, time series forecasting, linear and logistic regression, random forests, etc
• Ability to participate in a full-time internship between June-August

Responsibilities

• Identify predictors and causes of business related problems, implement novel approaches related to forecasting/prediction, and present written business recommendations
• Design and implement tools and frameworks to be used across various machine learning and data science teams
• Solicit and incorporate feedback on your work from your mentor, other user researchers, and multi-functional team members
• Identify predictors and causes of business related problems, implement novel approaches related to forecasting/prediction, and present written business recommendations
• Ability to use data to identify gaps/problems in our customer’s journey and propose potential solutions
• Lead the design and delivery of data models, reporting systems, data automation systems, dashboards and performance metrics that support key product decisions
• Ability to analyze disparate data sources and synthesize into a narrative of what is happening in the data