Job Description
This role is ideal for learners who want to move from concepts to real applications in Data Science.
What You Will Learn & Do
- Learn the complete data science lifecycle, from data collection to model evaluation.
- Collect, clean, analyse, and transform structured and semi-structured datasets.
- Perform Exploratory Data Analysis (EDA) to uncover meaningful insights.
- Build and understand predictive and analytical models using statistical and machine learning techniques.
- Work with Python and SQL for data manipulation and analysis.
- Create visualisations, dashboards, and reports to communicate insights clearly.
- Apply machine learning fundamentals such as regression, classification, and clustering.
- Learn how data-driven insights support business and strategic decision-making.
- Present findings and recommendations in a clear and structured manner.
Who Can Apply
- Students or recent graduates pursuing or holding a B.Tech / BE / M.Tech / MSc in Data Science, Computer Science, Statistics, Mathematics, or related fields.
- Learners with a basic to intermediate understanding of Python and statistics.
- Familiarity with SQL is helpful but not mandatory.
- Strong interest in learning Data Science concepts and practical implementation.
- Curious, detail-oriented individuals with strong problem-solving skills.
- Good written and verbal communication skills.
Nice to Have (Not Mandatory)
- Exposure to machine learning libraries such as Scikit-learn.
- Familiarity with data visualisation or BI tools (Power BI, Tableau, Looker, etc.).
- Basic awareness of cloud platforms or Docker.
- Prior exposure to datasets from HR, recruitment, or business domains.
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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