Manufacturing Data Science Intern

If you’ve worn a pair of glasses, we’ve already met.

[please select only the brands’ cluster relevant to your audience] We are a global leader in the design, manufacture, and distribution of ophthalmic lenses, frames, and sunglasses. We offer our industry stakeholders in over 150 countries access to a global platform of high-quality vision care products [such as the Essilor brand, with Varilux, Crizal, Eyezen, Stellest and Transitions ], iconic brands that consumers love [such as Ray-Ban, Oakley, Persol, Oliver Peoples, Vogue Eyewear and Costa ], as well as a network that offers consumers high-quality vision care and best-in-class shopping experiences [such as Sunglass Hut, LensCrafters, Salmoiraghi & Viganò and the GrandVision network ], and leading e-commerce platforms.

Join our global community of over 190,000 dedicated employees around the world in driving the transformation of the eyewear and eyecare industry.

Discover more by following us on LinkedIn!

Your #FutureInSight with EssilorLuxottica

Are you willing to pioneer new frontiers, foster inclusivity and collaboration, embrace agility, ignite passion, and make a positive impact on the world?

Join us in redefining the boundaries of what’s possible!

Your Role

We are looking for a highly motivated STEM intern to support the Plating Laboratory in exploring the application of Artificial Intelligence and Advanced Analytics on the shopfloor.

The intern will be part of the Manufacturing Engineering team working in the Surface Treatment Department, with a dual focus:

• Operational excellence & process understanding within the plating laboratory
• AI-driven process analytics, developed in close collaboration with the BPI AI & Data Analytics team.
  
  

The candidate will perform all activities associated with the design, prototype, and development of learning models and act as a facilitator between the technical and the shopfloor team, collecting information and supporting the exploration and implementation of data science solutions.

Main Responsibilities

• Analyze production processes, schedules, methods, and related data, and support the creation of analytical solutions that help business and manufacturing leaders better understand future requirements and improvement opportunities.
• Contribute to process measurement activities (OEE, capability analyses, cycle time, line balancing, desaturation) by integrating advanced data analysis and AI‑driven techniques to enhance visibility and decision‑making
• Explore, mine and analyse data from company and internal databases.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modelling to increase process quality.
  
  

Main Requirements

• Bachelor’s or Master’s degree in STEM disciplines.
• Pragmatic and effective mindset.
• Strong communication skills, presenting results in a clear manner and proposing solutions and strategies to tackle business challenges and influence the stakeholders.
• Strong knowledge of a variety of machine learning techniques (tree-based methods, SVM, PLS, PCA, clustering, etc.) and their real-world advantages/drawbacks.
• Strong knowledge of statistical computer languages (Python, SQL).
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Proven Experience with Azure and Databricks Environment is a plus.
• Experience working with large and complex datasets from manufacturing or industrial environments is a plus.
• Experience working with BI software is a plus.
• Critical thinking and structured problem-solving skills, continuously looking forward to solve complex business problems.
  
  

What’s In It For You

In EssilorLuxottica, you are not defined just by your job title. Each career adventure is unique, but have a glimpse of the benefits and perks you can have by choosing us.

• Access to our cutting-edge learning platform, Leonardo, and personalized development programs to help you grow professionally and personally.
• Access special offers for employees on a vast range of eyewear, eyecare products, and fashion apparel, so you can enjoy our world-class brands firsthand.
• Expense reimbursement provided
• Enjoy flexible work conditions, health insurance coverage, free canteen & free access to the company's gym
  
  

Recruiting process

Our recruitment process may vary; If you are selected, you will be contacted by our recruiters to guide you through the specific steps for your application.

Our Diversity, Equity and Inclusion commitment

We are committed to creating an inclusive environment for all employees. We celebrate diversity and provide equal opportunities to all, regardless of race, gender, ethnicity, religion, disability, sexual orientation, or any other characteristic that makes us unique