Data Science

Data Science Intern

Extract insights from data and leverage machine learning techniques.


We are seeking a Data Science Intern to join our innovative team. As a Data Science Intern, you will work closely with our data scientists and engineers to collect, preprocess, and analyze large datasets. Your role will involve developing predictive models, conducting exploratory data analysis, and generating actionable insights. This internship offers a unique opportunity to gain hands-on experience in data science applications within the mental health domain.


  • Assist in collecting, cleaning, and preprocessing data from various sources.
  • Collaborate with data scientists to develop and refine machine learning models for predictive analysis and pattern recognition.
  • Conduct exploratory data analysis to identify trends, anomalies, and valuable insights.
  • Collaborate with cross-functional teams to integrate data science solutions into our products and services.
  • Develop data visualization tools and dashboards to communicate findings effectively.
  • Stay updated with the latest data science techniques, tools, and methodologies.
  • Assist in documenting and presenting research findings and methodologies.


  • Pursuing a degree in Data Science, Computer Science, Statistics, or a related field.
  • Strong programming skills in languages such as Python, R, or SQL.
  • Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy, scikit-learn).
  • Basic understanding of machine learning algorithms and statistical concepts.
  • Proficiency in data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
  • Strong analytical and problem-solving skills.
  • Ability to work collaboratively in a team and independently.
  • Eagerness to learn and apply data science techniques to real-world projects.


  • Programming languages (e.g., Python, R, SQL)
  • Data manipulation and analysis
  • Machine learning algorithms (basic)
  • Statistical analysis
  • Data visualization
  • Problem-solving
  • Collaboration and communication
  • Attention to detail

Work with us!

We'd love your resume and a brief cover letter detailing your interest in the position and relevant skills. Please send your application to with the role as the subject line!

MYND is an equal opportunity employer. We encourage applications from candidates of all backgrounds and experiences.