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Description du poste:
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
Profil requis du candidat:
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
| Origine: | Site web de l'entreprise |
| Publié: | 04 Nov 2025 (vérifié le 14 Dec 2025) |
| Type de poste: | Stage |
| Secteur: | Énergie / Service Public |
| Langues: | Anglais |
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