Remote Data Science & Machine Learning Internship

Job Overview

Location
Chennai, Tamil Nadu, India
Job Type
FULL_TIME

Additional Details

Job ID
13753
Job Views
118

Job Description

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Job Summary

Houston Skilled Consultancy is seeking an enthusiastic and highly motivated Remote Data Science & Machine Learning Intern to join our growing team. This internship offers an exceptional opportunity to work on real-world data-driven projects while gaining exposure to cutting-edge technologies in machine learning and artificial intelligence. The successful candidate will collaborate with experienced data scientists and contribute to the design, development, and deployment of predictive models and data-driven solutions that drive impactful business decisions.


Key Responsibilities

  • Assist in collecting, cleaning, and preprocessing large datasets from multiple sources.
  • Collaborate with data scientists and engineers to develop machine learning models, algorithms, and pipelines.
  • Conduct exploratory data analysis (EDA) to uncover insights and trends.
  • Support in building and fine-tuning predictive models and validate their performance.
  • Visualize data using various tools and communicate findings to stakeholders.
  • Contribute to documentation of models, methodologies, and processes.
  • Participate in code reviews and provide constructive feedback to peers.
  • Stay updated with the latest trends and developments in machine learning and data science.

Required Skills and Qualifications

  • Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
  • Strong programming skills in Python or R, including relevant libraries such as NumPy, Pandas, Scikit-learn, or TensorFlow.
  • Solid understanding of machine learning concepts and statistical analysis.
  • Familiarity with data visualization tools such as Matplotlib, Seaborn, or Power BI.
  • Basic knowledge of SQL for data querying and manipulation.
  • Ability to work effectively in a remote and collaborative team environment.
  • Strong problem-solving abilities and attention to detail.
  • Excellent verbal and written communication skills.

Experience

  • Academic or personal projects related to data science and machine learning.
  • Previous internship or freelance experience in data analysis, AI/ML, or related fields is a plus.
  • Experience working with cloud platforms (e.g., AWS, Azure, Google Cloud) is advantageous but not mandatory.

Working Hours

  • This is a remote internship position with flexible working hours.
  • Approximately 15-20 hours per week depending on project deadlines and team requirements.

Knowledge, Skills, and Abilities

  • Strong analytical and critical thinking skills.
  • Ability to manage multiple tasks and meet deadlines.
  • Eagerness to learn new technologies and methodologies.
  • Proactive attitude with the ability to take initiative and work independently.
  • Ability to collaborate with a diverse team across different time zones.

Benefits

  • Gain hands-on experience with real-world data science and machine learning projects.
  • Mentorship from experienced professionals in the industry.
  • Flexible remote working arrangement.
  • Access to training materials and learning resources.
  • Opportunity to contribute to impactful projects and strengthen your portfolio.
  • Possibility of a full-time offer based on performance.

Why Join Houston Skilled Consultancy?

At Houston Skilled Consultancy, we are passionate about nurturing talent and providing our interns with a platform to develop their skills and grow professionally. We foster an inclusive and collaborative culture where innovation is encouraged, and every voice is valued. Join us to make a difference through data and technology while working alongside a team of dedicated experts who will support your learning journey.


How to Apply

Interested candidates should submit their updated resume, a brief cover letter explaining their interest in the internship, and links to relevant projects or GitHub repositories (if applicable) to us. Shortlisted candidates will be contacted for further steps.

Location

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