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- Tasks: Work on real-world AI and data science projects that make a difference.
- Company: Join Refonte AI, a leader in IT and Ed-tech, driving innovation.
- Benefits: Enjoy remote work flexibility, mentorship, and global networking opportunities.
- Why this job: Gain hands-on experience and develop skills in a supportive, innovative environment.
- Qualifications: Pursuing or completed a degree in Data Science, Computer Science, or related fields.
- Other info: This is an unpaid internship under our Global Training & Internship Program.
AI & Data Science Intern (Remote – United Kingdom) Company: Refonte (Refonte AI) Are you driven by curiosity about artificial intelligence and data science? Do you want to work on real-world projects that have a meaningful impact? Join Refonte AI , a globally recognized leader in IT and Ed-tech, as an AI & Data Science Intern and take the first step in your career within an innovative and supportive environment. Learn More : https://refontelearning.com/ About Refonte AI Refonte AI is a leader in IT and educational technology, specializing in advanced digital solutions across AI, data science, digital marketing, UI/UX design, web and app development, and more. We are committed to fostering innovation, achieving excellence, and empowering the next generation of tech talent through immersive, hands-on experience. Why Join Us? Our Global Training & Internship Program (RGTIP) provides you with real-world experience in a flexible, remote setting. As an AI & Data Science Intern, you’ll collaborate with a diverse, global team and gain exposure to cutting-edge AI and data science methodologies. This is an ideal opportunity to build your skills and make a significant impact. What’s in It for You? Hands-On Experience : Work on impactful AI and data science projects that add value to real business scenarios. Skill Development : Enhance your knowledge in machine learning, data modeling, and data visualization tools like Python, TensorFlow, and Tableau. Global Networking : Connect with data professionals and interns from around the world. Mentorship : Receive guidance from industry experts committed to your learning journey. Remote Flexibility : Work from anywhere in the UK, balancing your internship with other commitments. Internship Overview This program is structured to help you grow from foundational skills to advanced applications in AI and data science. You’ll work on a variety of projects, gaining hands-on experience and developing your ability to make data-driven decisions. Projects You’ll Work On Predictive Modeling : Build machine learning models to forecast business outcomes, using advanced algorithms and data-driven strategies. Natural Language Processing (NLP) : Explore NLP techniques to analyze and gain insights from textual data. Image Recognition : Develop and refine image recognition models for real-world applications. Recommendation Systems : Work on creating recommendation algorithms to enhance user experience in various applications. Data Visualization : Use tools like Tableau and Python to visualize data and present actionable insights. Roles & Responsibilities As an AI & Data Science Intern, you will: Collaborate with data scientists to collect, preprocess, and analyze datasets, gaining hands-on experience with large-scale data. Use Python and machine learning libraries such as TensorFlow and scikit-learn to develop and test models. Apply machine learning algorithms to practical business problems, including predictive analysis and classification tasks. Experiment with NLP and image recognition techniques, understanding their applications and limitations. Create compelling visualizations and reports to communicate data insights effectively. Work closely with cross-functional teams to identify AI opportunities and provide data-driven solutions. Qualifications Currently pursuing or recently completed a degree in Data Science, Computer Science, AI, or a related field. Strong programming skills, especially in Python, with familiarity in libraries such as TensorFlow, scikit-learn, and Pandas. Knowledge of machine learning algorithms, data preprocessing, and model evaluation. Excellent written and verbal communication skills for articulating complex concepts. Ability to work independently and collaboratively within a remote team environment. Additional Information This is an unpaid internship under our AI & Data Science Training & Internship Program within RGTIP. Our team will provide further details on the application process and onboarding after you apply. Learn More : https://refontelearning.com/ Location Remote (UK-based applicants preferred) Thank you for considering Refonte AI as a launchpad for your career in AI and data science. We look forward to welcoming you to our innovative team!
AI & Data Science Internship employer: Refonte Learning
Contact Detail:
Refonte Learning Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI & Data Science Internship
✨Tip Number 1
Familiarize yourself with the latest trends in AI and data science. Follow industry leaders on social media, read relevant blogs, and participate in online forums to stay updated. This knowledge will not only help you during interviews but also show your genuine interest in the field.
✨Tip Number 2
Engage in hands-on projects that showcase your skills in Python and machine learning. Create a portfolio of your work, including predictive models or data visualizations, to demonstrate your practical experience. This can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the AI and data science community. Attend virtual meetups, webinars, or workshops to connect with others in the field. Building relationships can lead to valuable insights and potential referrals for internships.
✨Tip Number 4
Prepare to discuss your understanding of machine learning algorithms and their applications. Be ready to explain how you've used these concepts in your projects. This will demonstrate your technical knowledge and problem-solving abilities during the interview process.
We think you need these skills to ace AI & Data Science Internship
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and qualifications required for the AI & Data Science Intern position. Familiarize yourself with the projects you'll be working on, such as predictive modeling and natural language processing.
Tailor Your CV: Customize your CV to highlight relevant skills and experiences related to AI and data science. Emphasize your programming skills in Python and any experience with machine learning libraries like TensorFlow and scikit-learn.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and data science. Mention specific projects or experiences that demonstrate your curiosity and ability to work on real-world problems. Make sure to express why you want to join Refonte AI specifically.
Proofread Your Application: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects your attention to detail and professionalism, which are crucial in the tech industry.
How to prepare for a job interview at Refonte Learning
✨Show Your Curiosity
Demonstrate your passion for AI and data science by discussing recent projects or technologies that excite you. This will show the interviewers that you're genuinely interested in the field and eager to learn.
✨Highlight Relevant Skills
Make sure to emphasize your programming skills, especially in Python, and any experience with libraries like TensorFlow and scikit-learn. Be prepared to discuss how you've applied these skills in past projects or coursework.
✨Prepare for Technical Questions
Expect questions related to machine learning algorithms, data preprocessing, and model evaluation. Brush up on these topics and be ready to explain concepts clearly, as this will showcase your understanding of the subject matter.
✨Ask Insightful Questions
At the end of the interview, ask thoughtful questions about the projects you'll be working on or the team dynamics. This shows your interest in the role and helps you assess if the internship aligns with your career goals.
