Data Scientist Co-op: AI-Driven Analytics for Semis

Skyworks Solutions, Inc.; Greater London; On-site; GBP 125,000 - 150,000; Full time

Job summary

A leading semiconductor company is seeking a motivated Data Scientist Co-op for Summer/Fall 2026 in Greater London. This role involves collaborating with product engineers to develop data-driven tools and AI solutions, enhancing analysis of semiconductor test data. The ideal candidate is pursuing a degree in a related field, with strong skills in statistical analysis and data visualization. You will gain hands-on experience in semiconductor product development, contributing to impactful projects that improve product quality and efficiency.

Benefits

Hands-on experience with real-world engineering problems

Exposure to semiconductor product development

Opportunity to contribute to impactful projects

Qualifications

• Currently pursuing a degree in Mathematics, Statistics, Computer Science, Data Science, or a related field.
• Strong foundation in statistical analysis, data visualization, and machine learning.
• Excellent communication and collaboration skills.

Responsibilities

• Collaborate with product engineers to understand analysis needs.
• Develop tools for automated data analysis.
• Build dashboards to support engineering decisions.

Skills

Statistical analysis

Data visualization

Machine learning

Communication

Education

Currently pursuing a Bachelor's or Master's degree in a related field

Tools

Exensio

JMP

Power BI

Job description

A leading semiconductor company is seeking a motivated Data Scientist Co-op for Summer/Fall 2026 in Greater London. This role involves collaborating with product engineers to develop data-driven tools and AI solutions, enhancing analysis of semiconductor test data. The ideal candidate is pursuing a degree in a related field, with strong skills in statistical analysis and data visualization. You will gain hands-on experience in semiconductor product development, contributing to impactful projects that improve product quality and efficiency.