About the Company
Nielsen is a global leader in audience measurement, data, and analytics, shaping the future of media and marketing. With a rich history of innovation, we provide clients with a comprehensive understanding of consumers and markets worldwide. Our commitment to data science and machine learning drives our ability to deliver actionable insights, helping businesses make informed decisions and connect with audiences more effectively. Join our team and contribute to cutting-edge solutions that impact the global media landscape.
Job Description
Are you a budding technologist with a passion for machine learning and a desire to gain hands-on experience in a dynamic industry? Nielsen is offering an exciting 6-month paid Machine Learning Trainee Internship in Wesley Chapel, FL. This program is designed to provide aspiring ML engineers and data scientists with practical skills, mentorship, and exposure to real-world data challenges within a global leader in data and analytics. You will work alongside experienced professionals, contributing to projects that leverage cutting-edge ML techniques to solve complex business problems, from audience measurement to predictive analytics. This on-site internship is an unparalleled opportunity to kickstart your career in machine learning.
Key Responsibilities
- Learn and apply fundamental machine learning concepts, algorithms, and methodologies.
- Assist in the collection, preprocessing, and cleaning of large datasets.
- Support the development, training, and evaluation of machine learning models.
- Contribute to the implementation of ML pipelines and data processing workflows using Python.
- Document code, processes, and model performance for knowledge sharing.
- Collaborate with senior ML engineers and data scientists on various projects.
- Participate in team meetings and present findings or progress updates.
- Research and stay updated on the latest advancements in machine learning and AI.
Required Skills
- Foundational understanding of machine learning concepts and algorithms.
- Proficiency in Python programming language.
- Strong analytical and problem-solving skills.
- Solid grasp of linear algebra, calculus, and probability.
- Excellent communication and teamwork abilities.
- Eagerness to learn and adapt to new technologies and methodologies.
Preferred Qualifications
- Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related technical field.
- Familiarity with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.
- Experience with data manipulation libraries like Pandas and NumPy.
- Prior academic projects or personal projects involving machine learning.
- Understanding of statistical modeling techniques.
Perks & Benefits
- Competitive paid internship for 6 months.
- Direct mentorship from experienced machine learning engineers and data scientists.
- Opportunity to work on impactful projects with real-world data.
- Exposure to industry-leading data analytics and technology.
- Professional development workshops and learning resources.
- Networking opportunities within a global technology company.
- Potential for full-time employment offer upon successful completion of the internship.
- Dynamic and collaborative on-site work environment.
How to Apply
If you are interested in this position, please click the "Apply Now" button below. To ensure your application is properly considered, please prepare the following:
- An up-to-date Resume or CV
- A brief cover letter summarizing your experience and motivation
Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted for an interview.
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