Data Science Intern

17 hours ago


Remote, India BrightGeeks Technologies Pvt. Ltd. Full time

BrightLearn, a product of BrightGeeks Technologies Pvt. Ltd., is a leading EdTech company focused on delivering industry-relevant training programs in both technical and non-technical domains. Our mission is to bridge the skill gap through real-time, hands-on learning and job assistance.

We are looking for motivated and detail-oriented **Data Science Interns** who are eager to explore the fields of data analytics, machine learning, and artificial intelligence. You will gain exposure to real-world projects, under the guidance of experienced professionals.

**Responsibilities**:

- Work with structured and unstructured data to perform data cleaning and preprocessing
- Conduct Exploratory Data Analysis (EDA) and generate insights
- Build machine learning models using libraries such as Scikit-learn and TensorFlow
- Create dashboards and visual reports using Matplotlib, Seaborn, or Power BI
- Assist in deployment of models using basic web frameworks (Flask, Streamlit)
- Document workflows, findings, and project progress regularly
- Collaborate with technical mentors and team leads

**Requirements**:

- Proficiency in Python (Pandas, NumPy, Matplotlib)
- Basic understanding of machine learning concepts (supervised, unsupervised learning)
- Familiarity with Jupyter Notebooks / Google Colab
- Strong analytical and problem-solving skills
- Good written and verbal communication
- Knowledge of SQL is a plus

**Eligibility Criteria**:

- Final year student or recent graduate in Computer Science, IT, Data Science, or related field
- Availability for a minimum of 3 months

**Benefits**:

- Internship Certificate
- Real-time Project Experience
- Mentorship from Industry Experts
- Letter of Recommendation (based on performance)
- Job Placement Consideration within BrightLearn or Partner Companies

**Job Types**: Full-time, Fresher, Internship
Contract length: 3 months

Schedule:

- Day shift
- Rotational shift

Supplemental Pay:

- Quarterly bonus

Work Location: Remote


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