Data Science Intern (Customer Success)

We are looking for a motivated Data Science Intern to join our team. This role offers hands-on experience working with real-world data, building models, and supporting data-driven decision-making. You will collaborate with data scientists, engineers, and business stakeholders to solve meaningful problems.

Responsibilities

Collect, clean, and preprocess structured and unstructured data; Perform exploratory data analysis to identify trends and insights; Build and evaluate machine learning models under guidance; Develop data visualizations and dashboards to communicate findings; Assist in deploying models and monitoring their performance; Work with large datasets using tools like Python, SQL, and cloud platforms; Document processes, experiments, and results clearly; Participate in team demos, feedback sessions, and learning opportunities

Requirements

Enrolled in a Bachelor’s or Master’s degree program in Computer Science, Engineering, or a related field; Experience writing code in Python (or another general-purpose language); Strong interest in artificial intelligence, machine learning, or software engineering; Basic understanding of statistics and machine learning concepts; Familiarity with libraries such as Pandas, NumPy, Scikit-learn, or TensorFlow/PyTorch; Experience with SQL and working with databases; Strong analytical and problem-solving skills; Excellent communication skills and willingness to collaborate with teammates and customers

Nice to have

Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn); Familiarity with cloud platforms (AWS, GCP, or Azure); Knowledge of version control (Git); Exposure to big data tools (Spark, Hadoop) is a plus