Internship: Modeling Consumer Spending Patterns & Cohorts

CFM; Paris; On-site; EUR 11,000 - 18,000; Full time

Job summary

CFM is offering an internship in Modeling Consumer Spending Patterns in Paris. You will join the Data-Insights-Alternative team to analyze alternative data, build interpretable consumer cohorts, and explore clustering, embeddings, and recommender-inspired methods.

You will read scientific literature, document your methodology, and present findings to the team. Fluency in French and English is expected; six-month commitment required; prior Python experience is essential.

Qualifications

• Master's degree or engineering school (Bac+4/5) in data science, statistics, applied mathematics, computer science or related field.
• Proficient in Python, Pandas and Scikit-learn; PySpark is a plus.
• Experience with time-series manipulation and handling large datasets; ability to read literature and document results.

Responsibilities

• Explore and understand large consumer spending datasets.
• Aggregate and join heterogeneous data sources and process huge datasets efficiently.
• Review literature on cohorts, embeddings and recommender systems; identify relevant approaches.
• Build and compare methods to identify consumer cohorts: clustering, embeddings, recommender-inspired techniques.
• Assess interpretability and stability of cohorts over time.
• Experiment with agentic AI tools to support analysis.
• Write clear documentation and reports; present results to the team.

Skills

Python

Pandas

Scikit-learn

Time-series

Research literacy

Communication

Education

Master's degree or Bac+4/5 in data science or related field

Tools

PySpark

Job description

CFM is offering an internship in Modeling Consumer Spending Patterns in Paris. You will join the Data-Insights-Alternative team to analyze alternative data, build interpretable consumer cohorts, and explore clustering, embeddings, and recommender-inspired methods.

You will read scientific literature, document your methodology, and present findings to the team. Fluency in French and English is expected; six-month commitment required; prior Python experience is essential.