Shift Technology - Data Science Internship
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Requirements
• You are either a recent graduate or in the final year of a bachelor’s or master’s program in Mathematics, Statistics, Software Engineering, Data Science or Machine Learning. • a recent graduate • in the final year • You have experience in object-oriented programming (OOP) such as prior internship, school and/or personal projects so you can write production quality code. An experience using C# is a plus. • You have a clear understanding of statistics and machine learning problems and common resolutions. • You are able to articulate your thoughts and findings clearly to non-technical audiences. • This internship requires a full-time, on-site commitment for a duration of six months. • What is next ? 🎯 • What is next ? 🎯 • If your application and experience meet our requirements, you can expect : • Talent Acquisition interview • Technical interview • Hiring manager interview • To support our permanent, full time employees at every stage of their careers and lives, we provide a competitive total rewards and benefits package. Here are the global benefits we’d like to highlight: • Flexible remote and hybrid working options • Competitive Salary and a variable component tied to personal and company performance • Multiple Learning and Development opportunities, including Focus Fridays, a half-day each month to focus on learning and personal growth • Generous PTO and paid holidays • Mental health benefits • 2 MAD Days per year (Make A Difference Days for paid volunteering) • Additional benefits may be offered by country, based on your eligibility - ask your recruiter for more information. Intern and Apprentice positions may receive some of these benefits - ask your recruiter for more details.
Responsibilities
• Setting up and deploying data processing pipelines, such as data reception (batch or real-time), data cleaning, information extraction, and calibration of fraud detection models. • Collaborating with clients to understand their needs and incorporating their feedback to enhance our solutions. • Conducting R&D to drive product innovation (machine learning, NLP, image analysis, trend analysis, chatbots, etc.).
Benefits
• 2 MAD Days per year (Make A Difference Days for paid volunteering) • Additional benefits may be offered by country, based on your eligibility - ask your recruiter for more information. Intern and Apprentice positions may receive some of these benefits - ask your recruiter for more details.
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