Product and IT Technology Pathfinder Internship - Data Science Master students welcome

What We'll Bring:

At TransUnion, we strive to build an environment where our associates are in the driver’s seat of their professional development, while having access to help along the way. We encourage everyone to pursue passions and take ownership of their careers. With the support of colleagues and mentors, our associates are given the tools needed to get where they want to go. Regardless of job titles, our associates have the opportunity to learn new things and be a leader every day.

Come be a part of our team you’ll work with great people, pioneering products and cutting-edge technology.

What You'll Bring:
• Currently pursuing master’s degree in Computer Science, Data Science, Applied Mathematics, Statistics or a related field
• Proficiency in programming languages commonly used in Machine Learning, such as Python, R or Java, is essential
• Solid understanding of fundamental Machine Learning concepts, algorithms and techniques. Practical experience in applying Machine Learning to real-world problems is a plus
• Solid knowledge of Machine Learning lifecycle: data collection, annotation, modeling, evaluation, deployment & monitoring
• Good problem-solving and analytical skills, with the ability to think creatively and propose innovative solutions.
• Strong communication and teamwork abilities, with the willingness to contribute to a collaborative and fast-paced environment
• Attention to detail and an understanding of data ethics and privacy considerations
• Self-motivated and able to work independently, while also being open to learning from experienced team members

Impact You'll Make:
• Collaborate with the Product and Global Technology teams to understand the requirements and objectives of TU products and solutions
• Preprocess, clean, and analyze address data to identify patterns, anomalies, and potential areas for improvement
• Assist in the development, implementation, and testing of Machine Learning models and algorithms to enhance solutions capabilities
• Explore and experiment with different Machine Learning techniques, such as supervised learning, unsupervised learning, and deep learning, to optimize solution’s accuracy and efficiency
• Train and fine-tune Machine Learning models using diverse datasets
• Evaluate and validate the performance of Machine Learning models using appropriate metrics and cross-validation techniques
• Collaborate with the Global Technology team to integrate Machine Learning models into the TU solution, ensuring seamless functionality and performance.
• Monitor and analyze the performance of the machine learning algorithms in production, identify areas of improvement, and propose iterative enhancements

This is a paid internship position with a duration of 6 months. You will have the opportunity to gain hands-on experience in applying Machine Learning concepts in a real-world software development environment and contribute to the advancement of TransUnion’s products and solutions.

We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law.