Published on Aug. 3, 2024

AI & Data - Internship

EY

About the job

AI & Data - 6 months End of study Internship starting in October 2024 and in January 2025

What if we didn’t focus on who you are now, but who you could become?

Here at EY, you’ll have the chance to build a truly exceptional experience. We’ll empower you with the latest technology, surround you with high-performing teams, and provide the global scale and diverse and inclusive culture you need to discover your full potential. Through our coaching and training programs, you’ll develop the skillsets you need to stay relevant today and in the future – all while building a network of colleagues, mentors, and leaders who will be on the journey with you at EY and beyond.

The exceptional EY experience. It's yours to build.

The opportunity: your next adventure awaits

Within the digital consulting team at EY Luxembourg you will deliver transformative solutions to clients that are aligned to industry best practices and provide thought leadership in data space. You will use statistics, data mining, machine learning and deep learning techniques to deliver data driven insights for clients and you will gather models’ requirements, design experiments and analyses, query and manipulate data, build and deploy predictive models, and interpret the outcomes for consumption by client leadership.

What we look for

  • You have an agile, growth-oriented mindset. What you know matters. But the right mindset is just as important in determining success. We’re looking for people who are innovative, can work in an agile way and keep pace with a rapidly changing world.
  • You are curious and purpose driven. We’re looking for people who see opportunities instead of challenges, who ask better questions to seek better answers that build a better working world.
  • You are inclusive. We’re looking for people who seek out and embrace diverse perspectives, who value differences, and team inclusively to build safety and trust.
  • Qualifications:
    • Currently in your master’s in computer science, Information Systems, Mathematics, Engineering or a related field
    • Proficiency in database technologies i.e. SQL and Big Data technologies e.g. Apache Spark on Databricks etc.
    • Proficient in at least one open-source analytics language (e.g., Python, R)
    • Skilled in building a wide variety of analytical models, including (but not limited to) decision trees, random forest, linear & logistic regression, market basket, neural networks, naïve Bayes, and support vector machines
    • Knowledge of BI concepts and tools (Power Bi, QlikView or Tableau)
    • Knowledge in coding/programming (JS Stack is a plus)
    • Keen interest in emerging technologies and topics such as automation and GenAI
    • Practical experience with tools such as Databricks, MS Copilot or Power Platform is considered a plus.
    • Fluent language skills in English. French and/or German will be considered an asset

What’s in it for you

  • Accelerate your technical capabilities and transformative leadership skills with future-focused courses and development programs.
  • Broaden your horizons by working on highly integrated teams across the globe and collaborate with people of diverse backgrounds — both professionally and culturally.
  • Bring out the best in yourself with continuous investment in your personal well-being and career development.
  • Develop your own personal purpose and help us create a positive ripple effect on our teams, our business, clients and society – building a better working world, together.

What you can expect

  • A first conversation over the phone with one of our recruiters
  • Followed by technical interview process with our business consultants

Apply Now

Required skills

Innovation English French German Engineering Information Systems Tableau Power BI Computer Science Python SQL R Big Data Machine Learning Deep Learning Statistical Analysis Data Mining Mathematics Power Platform Apache Spark Decision Trees Random Forest Linear Regression Logistic Regression Market Basket Analysis Neural Networks Naïve Bayes Support Vector Machines Databricks MS Copilot QlikView Business Intelligence Concepts