Data Science Intern

21 hours ago

Nagpur Maharashtra, India Bootcoding Pvt. LTD. Full time

**1. Define the Role and Responsibilities Key Responsibilities**:

- Assist in collecting, cleaning, and analyzing data.
- Support in building predictive models and machine learning algorithms.
- Generate visualizations and dashboards to communicate findings.
- Contribute to reports, presentations, or business insights.
- Collaborate with data scientists, engineers, and business teams on real-world problems.

**2. Specify Required Skills and QualificationsMust-Have Skills**:

- Proficiency in **Python** or **R** (especially libraries like pandas, NumPy, scikit-learn, seaborn/matplotlib).
- Strong foundation in **statistics**, **linear algebra**, and **probability**.
- Understanding of **data preprocessing**, **EDA (Exploratory Data Analysis)**, and basic **machine learning concepts**.
- Familiarity with **Jupyter Notebooks**, **Google Colab**, or similar tools.
- Good communication and documentation skills.

**Bonus Skills**:

- Experience with **SQL**, **Tableau**, **Power BI**, or **Excel**.
- Exposure to **cloud platforms** (e.g., AWS, GCP, Azure).
- Participation in **Kaggle competitions** or **GitHub projects**.

**Qualifications**:

- Pursuing a degree in **Computer Science**, **Statistics**, **Mathematics**, **Engineering**, or a related field.
- Final-year undergraduates or postgraduate students preferred.

**3. Write a Clear Job Description**

**Example**:
Position: Data Science Intern Location: Nagpur Duration: 3-6 months About Us: [Brief intro about your company, industry, and culture] What You'll Do: Work on real-world datasets to extract meaningful insights. Build and test machine learning models. Present results and contribute to decision-making. What We're Looking For: Strong analytical and problem-solving skills. Hands-on experience with Python and data science libraries. Curiosity and eagerness to learn. Perks: Internship certificate Mentorship from senior data scientists Potential full-time opportunity

**Step 1 : Technical Task (Optional)**

Example:

- Clean and analyze a dataset (e.g., Titanic or a CSV you provide).
- Create visualizations and draw insights.

**Step 2 : Interview**

Topics to cover:

- EDA and data cleaning approaches
- Algorithms they’ve used
- How they approach problem-solving
- Communication of technical findings to non-tech audiences

Pay: ₹7,000.00 - ₹10,000.00 per month

Schedule:

- Day shift

Work Location: In person

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