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During the apprenticeship duration, you will be required to complete specific learning hours and on the job training that has been outlined to ensure you are developing the skills and competencies essential to the role. You will be able to learn and grow at your own pace, but we expect most apprentices will complete their learning within 24 months. Once you graduate and receive your certificate from our apprentice program, you will be eligible to apply to available full-time roles at IBM.
Who you are:
An apprenticeship is about learning. We’re seeking candidates who have the following requirements, but we know you’re just getting your career started, and we’re committed to helping you learn and grow. If you are a highly curious individual, with a passion for learning, and a love of mathematics and data, you’re exactly the type of candidate we’re looking for. Data scientists are inquisitive: exploring, asking questions, doing what if analysis, questioning existing assumptions and processes. They are analytically-minded, statistically and mathematically driven.
To be successful, you need:
As an apprentice, you’ll join with other apprentices in a local cohort. You’ll go through the program together, learning about IBM and the skills you’ll be attaining throughout your apprenticeship. Then, you’ll work with your managers and mentors to progress through your personal skills roadmap, learning and demonstrating new knowledge and competencies through hands-on application with your project teams. You’ll complete milestones along the way, earning digital credentials to validate your skills, and will come back together with other apprentices to participate in on-going training and development focused on your professional and technical skills. Best of all, you are a contributing member of your team, putting forward ideas, taking on responsibilities and making choices about how you get the job done just like any other IBMer.
This position is not eligible for visa sponsorship.
Required Technical and Professional Expertise
Preferred Technical and Professional Expertise
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