Remote Data Science/Machine Learning Intern with Python (Part-Time)

Fresher Jobs

IN (Remote)
  • Full Time

To apply for this job please visit cse.noticebard.com.

Fresher Jobs is looking for a motivated and passionate Data Science/Machine Learning Intern (Remote, Part-Time) who is eager to explore the world of artificial intelligence and data-driven technologies. This internship is designed for students and fresh graduates who want to apply their academic knowledge to real-world projects while enhancing their technical and analytical skills.

As an intern, you’ll gain hands-on experience in working with datasets, building predictive models, and implementing machine learning algorithms using Python. You’ll be mentored by experienced data scientists who will guide you in understanding the end-to-end process of turning raw data into actionable insights. This part-time opportunity allows you to learn flexibly from home while earning a competitive stipend.

Key Responsibilities:

  • Work with real-world datasets to clean, analyze, and interpret data using Python-based tools.

  • Develop, test, and deploy machine learning models for predictive analytics and automation.

  • Assist in data preprocessing, feature engineering, and model evaluation.

  • Use popular libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and Matplotlib to perform data analysis and visualization.

  • Collaborate with senior data scientists and software engineers on ongoing projects.

  • Prepare technical documentation, reports, and visual presentations of data findings.

  • Participate in brainstorming sessions to identify potential data-driven solutions for business challenges.

  • Stay updated with emerging trends in data science, AI, and machine learning.

Required Skills and Qualifications:

  • Pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Engineering, Mathematics, or a related field.

  • Strong knowledge of Python and its data science ecosystem (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, etc.).

  • Basic understanding of machine learning algorithms (regression, classification, clustering, etc.).

  • Familiarity with data visualization tools and techniques.

  • Knowledge of SQL or other database management tools is an advantage.

  • Excellent analytical thinking and problem-solving skills.

  • Strong attention to detail and ability to work independently.

  • Good written and verbal communication skills.

Experience:

  • Freshers and final-year students are highly encouraged to apply.

  • Prior internships, academic projects, or participation in online data science competitions (like Kaggle) will be an added advantage.

  • No professional experience required – only a passion for learning and coding in Python.

Working Hours:

  • Part-time and fully remote – work from anywhere.

  • Flexible hours: 15–25 hours per week depending on project requirements.

  • Internship duration: 3 to 6 months, with the possibility of extension or full-time employment based on performance.

Knowledge, Skills, and Abilities:

  • Sound knowledge of statistics, probability, and mathematics for data modeling.

  • Strong understanding of data cleaning, transformation, and visualization techniques.

  • Ability to translate business problems into technical solutions.

  • Passion for AI, machine learning, and data-driven decision-making.

  • Quick learner with the ability to adapt to new tools and technologies.

  • Team-oriented mindset with good collaboration skills.

Benefits:

  • Monthly stipend based on skills and project contribution.

  • Hands-on exposure to real-world data science projects and practical learning opportunities.

  • One-on-one mentorship from experienced data science professionals.

  • Certificate of Internship Completion at the end of the program.

  • Flexible working hours and 100% remote setup.

  • Possibility of Pre-Placement Offer (PPO) based on performance.

  • A chance to enhance your portfolio and resume with impactful project work.

Why Join Fresher Jobs:

At Fresher Jobs, we believe in empowering young professionals with opportunities that bridge the gap between learning and real-world application. By joining as a Data Science/Machine Learning Intern, you’ll work on innovative projects, gain industry-level insights, and build skills that are in high demand across global tech companies.

You will be part of a supportive environment where learning, creativity, and innovation are highly valued. Whether you’re exploring your career path or aiming for a full-time role, this internship will help you build a solid foundation for your future in data science and AI.

How to Apply:

Interested candidates can apply by following the steps below:

  1. Prepare your updated resume highlighting relevant coursework, projects, and technical skills.

  2. Write a short cover letter explaining your interest in data science and why you are a good fit for this internship.

  3. Submit your application via our official website or email it to careers@fresherjobs.com with the subject line: “Application for Data Science/Machine Learning Intern – Remote (Part-Time).”

  4. Shortlisted candidates will be invited for a virtual technical assessment followed by an interview.

Job Overview