Data Science Intern

Role & responsibilities

Technical Skills Typically Required

• Programming Languages: Proficiency in Python or R for data manipulation, modeling, and analysis, AI, ML, Deep Learning, MYSQL, Gen AI, SQL
• Data Manipulation Libraries: Experience with Pandas, NumPy, and Dplyr for data wrangling.
• Data Visualization: Familiarity with Matplotlib, Seaborn, Plotly, or similar visualization libraries.
• Machine Learning Libraries: Experience with scikit-learn, TensorFlow, Keras, or PyTorch for building and evaluating models.
• SQL: Ability to write SQL queries to retrieve, filter, and aggregate data from databases.
• Version Control: Familiarity with Git for collaboration and version control.
• Cloud Platforms (optional): Exposure to cloud tools like AWS, Google Cloud, or Azure for data storage, computation, and model deployment.

Soft Skills

• Problem-Solving: Strong analytical thinking and problem-solving abilities to identify key issues, formulate hypotheses, and test them.
• Communication: Ability to explain technical concepts and results clearly to non-technical team members.
• Teamwork: Ability to collaborate effectively with other data scientists, data engineers, and business stakeholders.
• Attention to Detail: Precision in handling data and interpreting results.
• Adaptability: Willingness to learn new tools and techniques as the field of data science evolves.

Preferred candidate profile

B.E IN ANY STREAM , BCA, MCA , MSC