Job Description:
Job Description
* 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
Candidate Requirements:
Qualifications
* 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
| Source: | Company website |
| Posted on: | 04 Nov 2025 (verified 14 Dec 2025) |
| Type of offer: | Internship |
| Industry: | Energy / Utilities |
| Languages: | English |