Data Science & Analytics Intern
Full-time Unpaid Collaboration Internship
01
Available Positions
Fresher's having BE (IT/CS/CE), BSc.(IT/CS,CE), BCA, MCA, MBA (IT/CS/CE)
Experience
Bachelor's degree in Computer Science, AI/ML, Data Science, or related field (final year students or recent graduates)
Qualification
AI R&D
Department
Role Overview
Join our data science team to explore cutting-edge analytics technologies, develop predictive models, and drive data-driven decision making. This collaborative learning opportunity focuses on end-to-end data science workflows, advanced statistical analysis, and real-world AI applications in business contexts.
Key Responsibilities
- Conduct comprehensive data collection, cleaning, preprocessing, and exploratory data analysis using Python, R, and SQL frameworks
- Develop and implement machine learning models for classification, regression, clustering, and time-series forecasting applications
- Create advanced data visualizations and interactive dashboards using Tableau, Power BI, matplotlib, and seaborn libraries
- Perform statistical analysis, hypothesis testing, and A/B testing to derive actionable business insights
- Build and deploy predictive analytics models to support business strategy and operational optimization
- Collaborate with cross-functional teams to translate business requirements into analytical solutions and recommendations
- Document analytical processes, create technical reports, and present findings to stakeholders through compelling data storytelling
Required Qualifications
Must-Haves
- Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or related field (final year students or recent graduates)
- Strong programming proficiency in Python with experience in NumPy, Pandas, Scikit-learn, and Jupyter Notebooks
- Solid understanding of statistical concepts including descriptive statistics, probability distributions, and inferential statistics
- Knowledge of SQL for database querying and data manipulation from various data sources
- Experience with data visualization tools and techniques for creating meaningful insights from complex datasets
Nice-to-Haves
- Hands-on experience with machine learning frameworks like TensorFlow, PyTorch, or advanced scikit-learn applications
- Familiarity with cloud platforms (AWS, GCP, Azure) for data processing, model deployment, and distributed computing
- Knowledge of big data technologies including Spark, Hadoop, or NoSQL databases for large-scale data processing
- Experience with advanced analytics techniques including deep learning, NLP, or computer vision applications
- Previous internship experience or portfolio projects demonstrating real-world data science problem-solving capabilities
Learning Outcomes and Development
- Gain hands-on experience with industry-standard data science methodologies and end-to-end analytics project lifecycle management
- Master cutting-edge analytical tools, frameworks, and cloud-based platforms through mentorship from senior data scientists
- Develop expertise in translating complex business problems into data-driven solutions with measurable impact
- Build comprehensive understanding of AI ethics, bias evaluation, and responsible analytics practices in enterprise environments
- Access to real-world datasets and high-visibility projects with potential for significant business impact and career advancement
- Enhanced presentation and stakeholder communication skills through regular project demos and cross-functional collaboration
This unpaid internship represents a collaborative knowledge-sharing opportunity in the high-growth field of data science and analytics. Outstanding performers will be considered for full-time positions based on analytical excellence, innovative problem-solving, and demonstrated ability to drive business value through data insights.
Duration: 6 months
Hours: 09:00 AM to 06:00 PM (Monday to Friday)
Location: Ganesh Glory 11, Jagatpur, Ahmedabad, 382470 (Offline Internship)