Remote Machine Learning Internship

About the Company

Skyscanner is a leading global travel marketplace, helping millions of people in 52 countries and over 30 languages find the best flights, hotels, and car hire every month. We’re a global company, with over 1200 employees and 10 offices worldwide, and we are constantly innovating to make travel search simple and intuitive. Our engineering teams leverage cutting-edge machine learning and data science to power personalized experiences and intelligent search capabilities, ensuring our users get the best value and options for their travel needs. Join our team and help us shape the future of travel.

Job Description

We are seeking a highly motivated and curious Machine Learning Intern to join our innovative Data Science and Engineering team. This is a unique opportunity to gain hands-on experience in a fast-paced, industry-leading environment, working on real-world problems that impact millions of users globally. You will contribute to the development and deployment of machine learning models that optimize our search algorithms, personalize user experiences, and enhance our overall product offerings. This internship is designed to provide you with valuable mentorship, exposure to large-scale data systems, and a deep understanding of how ML drives business value. This is a 100% remote position, allowing you to work from anywhere in the UK, with strong team collaboration tools and regular virtual interactions.

Key Responsibilities

• Assist in the collection, cleaning, and preprocessing of large datasets for machine learning initiatives.
• Support the design, implementation, and evaluation of machine learning models and algorithms.
• Conduct exploratory data analysis to uncover insights and identify opportunities for ML applications.
• Collaborate with senior ML engineers and data scientists to integrate models into production systems.
• Research and prototype new machine learning techniques and tools.
• Document model development, experimental results, and findings.
• Participate in team meetings, code reviews, and knowledge-sharing sessions.

Required Skills

• Proficiency in Python and relevant ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Solid understanding of machine learning fundamentals, including supervised and unsupervised learning.
• Experience with data manipulation and analysis using libraries like Pandas and NumPy.
• Familiarity with SQL for querying databases.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Currently pursuing a Bachelor's, Master's, or PhD in Computer Science, Machine Learning, Statistics, or a related quantitative field.

Preferred Qualifications

• Experience with cloud platforms (e.g., AWS, GCP, Azure) and distributed computing frameworks (e.g., Spark).
• Familiarity with MLOps concepts and tools (e.g., MLflow, Docker).
• Previous internship or project experience in machine learning or data science.
• Knowledge of natural language processing (NLP) or recommender systems.
• Contributions to open-source projects or academic publications in ML.

Perks & Benefits

• Structured mentorship from experienced ML professionals.
• Exposure to real-world, large-scale data and complex ML challenges.
• Opportunity to contribute to a product used by millions worldwide.
• Access to internal learning resources and training programs.
• Flexible remote work environment.
• Collaborative and inclusive company culture.
• Potential for full-time employment upon successful completion of the internship.

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