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The intern will work with the Customer Experience & Analytics team to leverage machine learning, natural language processing (NLP), and statistical modeling to analyze customer interactions, identify pain points, and optimize support processes. The goal is to develop AI-driven insights that improve the customer journey from onboarding to retention.
Job Responsibility:
Build, test, and tune machine learning models (e.g., propensity models, classification, clustering, recommendation engines) to identify trends, opportunities, and risks in customer behavior
Utilize LLMs and NLP to analyze text-based customer data (chat logs, emails, surveys) for sentiment analysis and to develop AI agents that improve workflow productivity
Extract, clean, and pre-process raw, structured, and unstructured data from multiple sources (SQL databases, CRM platforms like Salesforce, logs)
Perform exploratory data analysis (EDA) to understand customer journeys and create actionable dashboards and reports (Tableau, Power BI, Excel) to present findings to stakeholders
Develop predictive models to identify potential customer churn or service disruptions before they occur
Requirements:
Pursuing a bachelor’s degree in Industrial Engineering, Management Information Systems, Data Analytics, Computer Science
Proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and SQL
Familiarity with supervised/unsupervised learning techniques and statistical modeling
Experience with data visualization tools (Tableau, Power BI) and Cloud Platforms (AWS/GCP/Azure) is a plus
Accountability, Proactivity, Strong analytical problem-solving skills, ability to translate data into "stories" for non-technical stakeholders, and a passion for improving customer experience
Nice to have:
Experience with data visualization tools (Tableau, Power BI) and Cloud Platforms (AWS/GCP/Azure) is a plus