About the Company
NielsenIQ is a global leader in measurement and data analytics, providing the most complete and trusted view of consumers and markets worldwide. We are committed to fostering innovation and leveraging cutting-edge technology, including machine learning, to deliver actionable insights to our clients. Join our team and contribute to shaping the future of market intelligence.
Job Description
We are seeking a highly motivated and enthusiastic Machine Learning Trainee for a 6-month paid internship. This is an excellent opportunity for individuals passionate about data science and artificial intelligence to gain hands-on experience in a real-world business environment. You will work alongside experienced data scientists and engineers, contributing to various stages of machine learning model development, deployment, and maintenance. This internship is designed to provide comprehensive exposure to the practical applications of ML in market research and consumer analytics.
Key Responsibilities
- Assist in data collection, cleaning, and preprocessing for machine learning projects.
- Support the development and implementation of machine learning models under guidance.
- Conduct exploratory data analysis to identify patterns and insights.
- Participate in the evaluation and tuning of model performance.
- Document code, methodologies, and experimental results.
- Collaborate with team members on various data science initiatives and projects.
Required Skills
- Solid understanding of foundational machine learning concepts.
- Proficiency in Python programming language.
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy).
- Basic knowledge of machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
Preferred Qualifications
- Currently enrolled in or recently graduated from a Bachelor's or Master's degree program in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
- Prior experience with SQL databases.
- Experience with cloud platforms (e.g., AWS, Azure, GCP).
- Completed relevant coursework or personal projects in machine learning.
Perks & Benefits
- Competitive hourly pay for a 6-month duration.
- Direct mentorship from experienced data scientists and engineers.
- Opportunity to work on impactful, real-world projects.
- Exposure to industry-leading data analytics tools and technologies.
- Professional development workshops and learning resources.
- Potential for future full-time employment based on performance.
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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