Intern

About the Role

The Intern at Danalitic will support data and AI projects by assisting with data collection, cleaning, and basic analysis under the guidance of senior team members. This full-time, on-site role in Pune District involves contributing to documentation, preparing reports, and helping test and validate data pipelines and AI models. The intern will collaborate with cross-functional teams to understand business requirements, participate in brainstorming sessions, and assist in creating simple dashboards or visualizations. Day-to-day tasks may include researching analytics and AI trends, organizing datasets, and supporting the development and maintenance of internal tools. The role is designed to provide hands-on experience in a professional analytics environment and exposure to real-world applications of data and AI.

Key Responsibilities

• Assist with data collection, cleaning, and basic analysis.
• Contribute to documentation and prepare reports.
• Help test and validate data pipelines and AI models.
• Collaborate with cross-functional teams to understand business requirements.
• Participate in brainstorming sessions.
• Assist in creating simple dashboards or visualizations.
• Research analytics and AI trends.
• Organize datasets.
• Support the development and maintenance of internal tools.

Requirements & Tech Stack

• Foundational skills in data analysis and statistics.
• Comfort working with datasets, basic exploratory analysis, and interpreting quantitative results.
• Skills in programming and data tools, such as familiarity with Python or R, basic SQL, and exposure to data visualization tools (e.g., Excel, Power BI, or similar).
• Awareness of AI and machine learning concepts, including an understanding of supervised/unsupervised learning.
• Interest in areas like NLP, deep learning, or conversational AI.
• Strong research and problem-solving skills.
• Ability to learn new technologies quickly and apply analytical thinking to business use cases.
• Effective communication and collaboration skills, including clear written and verbal communication.
• Ability to work in a team-based, on-site environment.

Qualifications

• Currently pursuing or recently completed a degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, or a related field is preferred.
• Familiarity with data management and data security concepts will be beneficial.
• An interest in building AI-driven solutions for real-world business problems will be beneficial.