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Data Scientist Intern

Salary undisclosed

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About Us:

Imperial Healthtech is dedicated to improving healthcare through data-driven innovations and cutting-edge technology. We develop advanced management systems for hospitals and clinics that help streamline processes, improve patient outcomes, and drive operational efficiency. As part of our continuous improvement efforts, we are looking for a Data Science Intern to join our team and help us derive insights from healthcare data.

Position Overview:

We are seeking a motivated and analytical Data Science Intern to join our team in Semarang. This is a full-time, on-site internship for a duration of 3 months, with the potential for full-time employment based on performance. As a Data Science Intern, you will have the opportunity to work on real-world healthcare data and develop interactive data applications using tools like Python and Streamlit.

Responsibilities:

  • Data Analysis: Assist in analyzing healthcare data to identify trends, patterns, and actionable insights.
  • Data Visualization: Develop interactive dashboards using Streamlit to communicate insights and help drive decision-making.
  • Data Integration: Help integrate data from various sources (databases, APIs, etc.) to create comprehensive datasets for analysis.
  • Machine Learning: Explore and implement machine learning models to predict outcomes and optimize healthcare operations.
  • Collaboration: Work closely with data scientists, engineers, and product teams to translate business requirements into data-driven solutions.
  • Documentation: Create and maintain documentation for data processes, analysis, and results to ensure clarity and consistency.
  • Continuous Improvement: Stay updated with the latest trends in data science, AI, and healthcare technology.

Requirements:

  • Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, or a related field.
  • Proficiency in Python and data manipulation libraries such as Pandas and NumPy.
  • Basic knowledge of Streamlit or an eagerness to learn and work with it for developing data applications.
  • Experience with data visualization libraries (e.g., Matplotlib, Seaborn, Plotly).
  • Familiarity with machine learning algorithms and frameworks is a plus.
  • Strong analytical and problem-solving skills.
  • Ability to work independently and as part of a team.
  • Willingness to work on-site in Semarang full-time.

Bonus Skills (Not Required):

  • Experience with cloud platforms (e.g., AWS, Google Cloud) for data storage and machine learning.
  • Knowledge of SQL and database management.
  • Familiarity with version control systems like Git.

Benefits:

  • Gain hands-on experience with real-world data in the healthcare industry.
  • Opportunity to work with advanced data analysis and machine learning models.
  • Potential for full-time employment based on performance and business needs.
  • Work directly with experienced professionals in data science and healthcare technology.
  • Learn and grow in a supportive and dynamic environment.
  • Receive a certificate and a recommendation letter based on performance.
  • If you are passionate about data science and eager to work on impactful projects in the healthcare industry, we would love to hear from you!