Data Science Internship

About ProfCess: ProfCess is a forward-thinking company dedicated to leveraging data to create innovative solutions across industries. Our mission is to empower businesses with actionable insights and advanced analytics to drive growth and stay competitive.

Position Overview: We are looking for a dynamic and motivated Data Science Intern to join our team. You will collaborate with experienced data scientists and analysts on live projects, gaining valuable hands-on experience with data science tools, technologies, and real-world challenges. This is an excellent opportunity to kick-start your career in data science.

Key Responsibilities:

• Assist in data collection, cleaning, and preprocessing
• Perform exploratory data analysis (EDA) to identify patterns and insights
• Support the development of predictive models and ML algorithms
• Create data visualizations and dashboards for reporting
• Collaborate with teams to translate business needs into analytical solutions
• Document methodologies and results for knowledge sharing
• Stay updated on data science and machine learning trends

Qualifications:

• Pursuing a degree in engineering, data science, or a related field
• Strong programming skills in Python, R, or SQL
• Familiarity with libraries like pandas, scikit-learn, TensorFlow, Keras
• Basic understanding of statistics and machine learning
• Knowledge of visualization tools (matplotlib, seaborn, Tableau, Power BI) is a plus
• Strong problem-solving skills and attention to detail
• Ability to work independently and in a team
• Good communication skills

Preferred Qualifications:

• Previous internship or project experience in data science
• Knowledge of big data tools (Hadoop, Spark) and cloud platforms (AWS, GCP, Azure)
• Experience in NLP and deep learning frameworks

What We Offer:

• Practical experience with real-world data projects
• Mentorship from industry professionals
• Opportunities for learning and skill development
• A collaborative and inclusive work culture
• Performance-based stipend after 3 months
• Letter of Recommendation (LOR) upon successful completion
• Potential for Pre-Placement Offer (PPO) for top performers