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    The Global Wafer Systems Group is a highly technical team responsible for the design, development, and deployment of systems for Seagate, with several locations in the US, Southeast Asia, India, China, the United Kingdom, and beyond. With a portfolio that includes Artificial Intelligence (AI)-powered solutions, Machine Learning (ML) algorithms, best in class visualizations, and rapid deployment, this team has won industry awards due to its innovation, best in class systems, and value delivery.

    About the role

    We have an exciting opportunity for a Machine Learning, Data Engineering or Computer Science Intern wishing to take on a 11-month placement, commencing in September 2024 to join our Global Wafer Systems team in Springtown.

    • The intern will join our highly dynamic Global Wafer Systems team and will be expected to work in one of the following domains depending on skillset: Statistics, Deep-learning, Data Engineering, Computer Science or Software Development.
    • Developing state of the art machine learning models.
    • Deliver critical insights supporting automated decision making and root cause analysis.
    • Work on Image processing algorithms.
    • Translate machine learning algorithms into production-level code.
    • Perform data and feature engineering.
    • Build well-documented scalable RESTful APIs.
    • Work closely with a global team of Data Scientists to complete a research project to help shape the future of new data products.

    About you

    • Skilled in Python (knowledge of pandas, sklearn, pytorch, matplotlib especially).
    • SQL proficiency, basic understanding of database structures.
    • Experience with classification and tree-based algorithms, among other supervised and unsupervised methodologies.
    • Ability to effectively communicate technical concepts simply to different group.s
    • Ability to collaborate effectively across multiple teams and stakeholders, including analytics teams, development teams, product management and operations.

    Your experience includes

    • Currently undertaking a Bachelor’s degree in data science, mathematics, computer science or engineering
    • Programming skills with Python, R, JavaScript, SQL
    • Knowledge in machine learning algorithms applicable for predictive tasks
    • Experience with a cloud computing platform (e.g., Azure, GCP, Databricks, AWS, Snowflake)

    Location

    Springtown, Northern Ireland

    Our Springtown site is Derry/Londonderry’s largest manufacturer, we’re proud that Seagate is a flexible and inclusive place to work. We have more than 1,400 employees spanning research and development, manufacturing, and other functions.

    Benefits

    Here at work, you can grab breakfast, lunch, dinner and snacks at our subsidized on-site cafe. Looking for an active break from your workday? We’ve got you covered.

    Take a group or individual exercise class during lunch or after work at our on-site gym. Free on-site car-parking. Network with your colleagues through the Young Professionals Network, Women’s Leadership Group, the Carers Café (for caregivers of individuals with disabilities), Volunteer in the community with our support! Join our creative network, which includes a choir, foreign language classes and even a cookery class!

    Join our Employee Resource Groups (ERG), a voluntary, employee-led community built on a shared diversity identity and/or an appreciation of that identity, open to ALL current employees at Seagate!

    • Health – AXA Healthcare, for employees and dependents, Company sick pay and medical leave, Occupational healthcare service, Employee assistance programmes, Group income protection and On-site gym/ exercise classes / personal trainer.
    • Work Life Balance – Annual leave, Flexible working hours, Part-time working, Enhanced maternity pay, Enhanced paternity pay, Bereavement leave.
    • Finance – Pension – employer contributory scheme, Life assurance, Employee stock purchase plan, Competitive base pay, Company bonus scheme, Reward and recognition, Employee savings scheme, Perks at work discount programmes, Employee discount scheme, Pay for civil / jury duty.
    •  Career – Degree / non degree assistance Externally accredited training and development opportunities, Service awards, LinkedIn learning, Learning & development programmes.