Overview
i2i Industry is a cutting-edge upskilling and mentorship platform tailored for working professionals in the tech industry. Our mission is to bridge the gap between theoretical knowledge and industry demands by connecting learners with experts from global tech leaders such as Google, Meta, Netflix, Microsoft, and Amazon. Our programs emphasize real-world insights, hands-on experience, and strategic thinking to empower professionals for the next step in their careers.
Role DescriptionWe are seeking a highly motivated Data Scientist (Fresher) to join our on-site team in Patna. In this role, you will work on real-world datasets to uncover insights, build predictive models, and support data-driven decision-making. You will collaborate with cross-functional teams to apply statistical analysis, machine learning, and data visualization techniques to solve business challenges and support strategic initiatives.
Responsibilities- Collect, clean, and process large datasets from multiple sources
- Apply statistical and machine learning techniques to analyze trends and patterns
- Develop predictive models and algorithms to support business decisions
- Communicate insights clearly through visualizations, dashboards, and reports
- Collaborate with analysts, engineers, and product teams to integrate data science solutions into operational workflows
- Stay up to date with the latest developments in data science and AI
- Strong foundation in Statistics, Mathematics, and Data Science concepts
- Proficiency in Python, R, or similar programming languages
- Experience with data analysis libraries such as Pandas, NumPy, scikit-learn, or TensorFlow is a plus
- Familiarity with SQL and data visualization tools (e.g., Tableau, Power BI, or Matplotlib)
- Good understanding of machine learning algorithms and data modeling techniques
- Strong problem-solving and analytical thinking skills
- Effective communication and team collaboration abilities
- Relevant internship, academic project, or coursework in data science or machine learning