Job Description

bluesheets is on a mission to eliminate low-value tasks within the organization for good. We connect systems and process data in any shape and form, without the need for manual handling. We leverage the newest technologies to drive business towards 100% automation, one workflow at a time.About the roleWe are seeking a dynamic and enthusiastic Data Science Intern to join our team. As a Data Science Intern, you will have the opportunity to work on diverse projects, gain hands-on experience with data analysis, and contribute to the development of innovative data-driven solutions. This internship is ideal for students or recent graduates with a passion for data science and a desire to learn and grow in a collaborative environment.Key Responsibilities

• Assist in collecting, cleaning, and preprocessing data from various sources, ensuring data quality and integrity.
• Perform exploratory data analysis to uncover insights and patterns in large datasets, and visualize findings using appropriate tools and techniques.
• Work closely with data scientists and analysts to develop and implement machine learning models and algorithms for predictive modeling, classification, and clustering tasks.
• Evaluate model performance and accuracy using appropriate metrics and validation techniques, and iterate on model improvements based on feedback and results.
• Collaborate with cross-functional teams to integrate data science solutions into existing products or systems, and support the deployment and maintenance of data-driven applications.
• Stay up-to-date on the latest developments and trends in data science, machine learning, and artificial intelligence, and contribute to the continuous improvement of our data science capabilities.
• Document and communicate your findings, insights, and recommendations to stakeholders through written reports, presentations, and data visualizations.

Qualifications:

• Currently pursuing or recently completed a degree in computer science, data science, statistics, mathematics, or a related field.
• Strong understanding of data science concepts and techniques, including data preprocessing, exploratory data analysis, predictive modeling, and machine learning algorithms.
• Proficiency in programming languages commonly used in data science, such as Python or R, and experience with data manipulation and analysis libraries, such as pandas, NumPy, or scikit-learn.
• Familiarity with data visualization tools and techniques, such as Matplotlib, Seaborn, or Tableau, for communicating insights and findings.
• Excellent analytical and problem-solving skills, with the ability to interpret and analyze complex datasets and derive actionable insights.
• Strong communication and collaboration skills, with the ability to work effectively in a team environment and communicate technical concepts to non-technical stakeholders.

Application InstructionsPlease submit your application via this form:

InternSG