Data Science Intern

1 week ago

Gwalior Railway Station Gwalior Madhya Pradesh, India Saanvi Innovations Full time

**Job Description: Data Science Intern**
**Company Name**: Saanvi Innovations
**Location**: Gwalior

**About the Internship**:
Saanvi Innovations is seeking enthusiastic and talented individuals to join our team as Data Science Interns. This is an excellent opportunity to gain hands-on experience in analyzing complex datasets, building predictive models, and deriving actionable insights to solve real-world problems.

**Key Responsibilities**:

- Assist in collecting, cleaning, and preprocessing large datasets.
- Perform exploratory data analysis to uncover trends and patterns.
- Develop and implement machine learning models for predictive analytics.
- Collaborate with the team to create data-driven solutions for business challenges.
- Prepare visualizations and dashboards to communicate findings effectively.
- Document processes, methodologies, and results for future reference.

**Requirements**:

- Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, or a related field.
- Strong knowledge of Python/R and data analysis libraries (e.g., Pandas, NumPy, Matplotlib, Seaborn).
- Familiarity with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.
- Understanding of SQL and database management.
- Excellent problem-solving and analytical skills.
- Good communication and teamwork abilities.

**Duration**:
This is an internship position with a duration of 3 to 6 months.

**Perks and Benefits**:

- Hands-on experience in real-world data science projects.
- Mentorship from experienced professionals in the field.
- Certificate of Internship upon completion.
- Opportunity to work in a collaborative and innovative environment.

**How to Apply**:
Start your data science journey with Saanvi Innovations and make an impact through data

**Job Types**: Full-time, Fresher, Internship
Contract length: 6 months

Pay: ₹3,000.00 - ₹10,000.00 per month

**Benefits**:

- Provident Fund

Schedule:

- Day shift

Supplemental Pay:

- Overtime pay

**Experience**:

- total work: 1 year (preferred)

Work Location: In person

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