Total 2 Internship science rd research job vacancies in Information Technology category

As the world's largest research organization, NIQ is powered by talented creative scientists. Our Data Scientist Business Leaders come from diverse disciplines such as statistics, research methodology, mathematics, psychology, business, engineering, physics and demography. These professionals drive innovation, new product ideation, develops complex analysis and delivery of data insights to measure what consumers buy. The Job Responsibilities of a Data Science Intern: 

• Support the Data Science team in day-to-day activities, including data cleaning, validation, extraction, and basic analysis to resolve data queries.
• Collaborate with associates to develop new solutions, use cases, proof-of-concepts (POCs), and prototypes by exploring diverse datasets using tools such as Python.
• Assist in automating existing processes and developing enhancements, including proposing new data visualizations or improving current dashboards (e.g., Power BI).
• Build and maintain positive working relationships across teams, ensuring open communication and alignment to deliver against client expectations and satisfaction.
• Ensure adherence to company regional and global standards, compliance guidelines, and best practices at all times.
• Provide support for team initiatives and take on additional tasks or projects as assigned.

Based in Singapore, the Data ScienceIntern will develop and apply machine learning and computer vision techniquesto extract actionable insights from data collected by inspection and NDT tools,helping to advance the company's software products and solutions.

What will you do

• Develop tools to process the high volume of information collected by cameras and NDTtools (e.g Ground Penetrating Radar)
• Uncover hidden data correlations in aforementioned data (e.g. presence of corrosion vs concrete cover vs geographical location)
• Improve existing software tools using data science

1. Discover, learn and apply state-of-the-art Machine Learning techniques to InspectionTech problems.
2. Leverage data science techniques to improve customer insights in the InspectionTech space.

• Support project lifecycles from brainstorming to production
• Contribute to developing cutting-edge software and solutions that add value to the company and its customers.

What do we expect

• Pursuing a bachelor’s degree in Computer Science or related fields.
• Knowledge in Machine Learning libraries such as PyTorch.
• Knowledge in Computer Vision libraries such as OpenCV.
• Knowledge in Python and neural network frameworks (Pytorch, TensorFlow).