Intern For Data and Analytics

• Data Engineering: Gather and integrate data from multiple sources, performing data cleaning and transformation to ensure accuracy, reliability, and readiness for analysis and AI model training.
• Data Analysis AI-Driven Insights: Analyze datasets using statistical methods and AI tools to uncover trends, patterns, and predictive insights that inform strategic business decisions.
• Reporting and Visualization: Design and develop interactive reports, dashboards, and data visualizations that effectively communicate findings and AI-generated insights to stakeholders.
• AI Machine Learning Development: Support the development, testing, and optimization of machine learning models and AI algorithms to address specific business challenges and opportunities.
• Data Governance Stewardship: Collaborate with data stewards to maintain data quality, support governance initiatives, and ensure data integrity across analytics and AI systems.
• Data Policy Standards: Assist in developing and implementing data governance policies, standards, and procedures that support both traditional analytics and AI/ML initiatives.
• Data Quality Validation: Monitor and assess data quality across systems, implementing validation checks to ensure consistency and reliability for analytics and AI applications.
• Research Innovation: Explore emerging data technologies, AI tools, and best practices to enhance analytical capabilities and drive innovation in data-driven solutions.
• Cross-Functional Collaboration: Partner with team members and stakeholders across departments to understand data requirements and deliver support for analytics and AI-powered projects.
• Documentation Knowledge Management: Document processes, methodologies, model performance, and insights to ensure knowledge retention and facilitate team collaboration.
• Continuous Learning: Actively develop skills in data analysis, AI/ML techniques, and industry trends through training, self-study, and hands-on project experience.

• Currently pursuing a MTECH/BTECH degree with an expected completion in 2026/2027 in a technical field such as Data and Analytics, Data Science.
• Proficient in programming languages such as Python/SQL.
• Familiarity with data visualization tools (e.g., Tableau, Power BI).
• Analytical Thinking: Strong analytical skills to solve problems and make data-driven decisions.
• Attention to Detail: Precision in analyzing data and ensuring accuracy in reporting.
• Communication Skills: Ability to communicate complex data insights in a clear and concise manner to both technical and non-technical stakeholders.
• Teamwork: Ability to work collaboratively within a team environment.
• Curiosity and Eagerness to Learn: Willingness to learn new tools and techniques in the field of data and analytics.

• Hands-On Experience: Provide real-time projects that allow interns to apply their academic knowledge and gain practical skills in data and analytics.
• Mentorship and Guidance: Pair interns with experienced mentors who can offer guidance, support, and insights into the field of data analytics.
• Skill Development: Offer training sessions, workshops, and access to online courses to help interns enhance their technical and analytical skills.
• Exposure to Tools and Technologies: Give interns the opportunity to work with industry-standard tools and technologies, such as Python, R, Fabric, SQL, and data visualization software.
• Collaborative Environment: Foster a supportive and inclusive workplace where interns can collaborate with team members and contribute ideas.
• Feedback and Evaluation: Offer regular feedback and performance evaluations to help interns understand their strengths and areas for improvement.

Disclaimer:

This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.