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SRTechOps · Remote

Data Scientist Intern

Remoteentry_levelfull timePosted 15 days ago
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Stack mentioned

pythonetlpandasnumpysqlgitstatisticstensorflowpytorchllmseleniumtableaudata-sciencemachine-learningdata-analysisdata-visualizationdeep-learningdata-warehousingrest-apipower-bi

About the Role
We are looking for an analytical and curious Data Scientist Intern to join our engineering and data team. This is an entry-level position ideal for students, fresh graduates, or self-taught practitioners looking to gain hands-on industry experience in turning raw data into actionable insights and machine learning models. You will work alongside experienced data scientists and software engineers, analyze real-world datasets, build predictive models, and learn modern data science practices in a collaborative environment.

Key Responsibilities

- Assist in collecting, cleaning, preprocessing, and exploring large-scale datasets.

- Build, train, and evaluate exploratory machine learning or statistical models under the guidance of senior team members.

- Write clean, maintainable, and efficient Python code for data pipelines and analysis.

- Conduct exploratory data analysis (EDA) to discover patterns, trends, and business insights.

- Collaborate with the team to translate business requirements into data-driven solutions.

- Maintain basic technical documentation for developed models, datasets, and analysis scripts.

Requirements & Qualifications

- Basic understanding of Python for data science (libraries like Pandas, NumPy, Scikit-Learn).

- Familiarity with basic statistical concepts and data visualization tools/libraries (e.g., Matplotlib, Seaborn).

- Familiarity with basic SQL and database querying.

- Familiarity with basic Git workflows (commit, push, pull, branching).

- Strong problem-solving skills and logical thinking with an analytical mindset.

- Good written and verbal communication skills to present insights clearly.

- Currently pursuing or completed a degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or equivalent practical coding experience/bootcamp.

Nice-to-Have (Optional)

- Exposure to deep learning frameworks (e.g., TensorFlow, PyTorch) or Large Language Models (LLMs).

- Familiarity with data warehousing, cloud platforms, or Jupyter notebooks.

- Understanding of basic RESTful APIs or web scraping (BeautifulSoup, Selenium) for data collection.

- Experience with dashboarding tools like Tableau or Power BI.

What We Offer

- Hands-on experience working on live production data applications and machine learning pipelines.

- Certificate of Internship completion & recommendation letter.

- Potential opportunity for a permanent Full-Time Data Scientist position based on performance.

Pay: ₹10,000.00 - ₹15,000.00 per month

Work Location: Remote

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