Develop and deploy lead scoring models to help sales teams prioritize high-value opportunities
Build customer segmentation systems to identify patterns across large datasets
Implement continuous learning pipelines for models that improve automatically over time
Take models from experimentation to production-ready systems handling real traffic
Monitor model performance and detect drift in production
Work on real systems with high business impact and ownership
Opportunity to convert to a full-time role after graduation or continue part-time during studies

Currently enrolled in a Master’s program in Data Science, Machine Learning, Computer Science, Statistics, Applied Mathematics, or a related field
Previous internship or research experience in data science, analytics, or a similar technical role
Strong Python skills (pandas, NumPy, scikit-learn, matplotlib/seaborn, etc.)
Solid understanding of statistics, hypothesis testing, and machine learning algorithms
Proficient in data analysis, feature engineering, and SQL
High attention to detail, analytical mindset, and ability to work independently
Quick learner with strong problem-solving and communication skills
Plus: experience with production ML pipelines, econometrics, or A/B testing

Data Science Intern

f/m/d