Customer Experience Data Science/ML Internship

• 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

• 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

Experience with data visualization tools (Tableau, Power BI) and Cloud Platforms (AWS/GCP/Azure) is a plus

• Health & Wellbeing
• Personal & Professional Development
• Unconditional Inclusion