At a Glance
- Tasks: Join a dynamic team to optimise digital campaigns and create interactive dashboards.
- Company: L’Oréal, the world's #1 beauty company, shaping beauty experiences.
- Benefits: Real responsibility from day one, inclusive culture, and growth opportunities.
- Other info: Embrace diversity and contribute to societal and environmental causes.
- Why this job: Dive into data analytics and tech innovation while making a real impact.
- Qualifications: Curiosity for data, eagerness to learn SQL and Python, and strong communication skills.
The predicted salary is between 19350 - 23650 £ per year.
Hello, we’re L’Oréal. We're not just building brands, we're shaping how the world experiences beauty. Intrigued? Keep reading, this might be the opportunity you've been searching for.
A Day in the Life
Reporting to the Head of Analytics, Measurement and Tools, you will join a dynamic 15-person team supporting all L’Oréal UK & Ireland brands to optimize digital campaigns and web experiences.
- Data Analytics & Visualization: Extract and analyse data to build interactive performance dashboards.
- Automation & Tools: Learn and apply SQL and Python to automate reporting.
- Technology Innovation: Explore generative AI tools to streamline analytical workflows.
- Cross-Divisional Collaboration: Partner with media and e-commerce teams to translate data into actionable insights.
We Are Looking For
- We are looking for a curious, solution-oriented individual with a logical mindset.
- Strong interest in data analytics, digital media, and e-commerce.
- Eagerness to learn programming languages (SQL, Python) and AI tools.
- Proactive, collaborative approach to solving analytical puzzles.
- Clear communication skills to share insights with diverse teams.
- Eligibility for a Level 6 Degree Apprenticeship.
What’s In It For You
- A place for you to leave your comfort zone and grow beyond your potential.
- Real responsibility from day 1, there’s no sitting on the sidelines at L’Oréal.
- An environment where people of every ethnicity, social background, age, religion, gender and sexual orientation as well as people with disabilities are accepted, can speak up, will thrive and are celebrated!
- A place where you can contribute to something bigger!
Who We Are
Join us at L’Oréal, the world's #1 beauty company present in over 150 markets. For over a century, we have been transforming; fueled by data, tech, innovation, and science. Together, we tackle big challenges while making sure we stay committed to making the world a more inclusive and a better place for everyone & our planet.
Today, L’Oréal includes over 9k experts in beauty tech, digital, data and e-comm and is constantly growing. Championing Beauty Tech, we invent the beauty of the future while becoming the company of the future. To achieve this ambition, L’Oréal continues to recruit diverse, innovative, skilled, and passionate minds in different tech domains such as Data, Digital, Cloud, Cyber Security, IT Architecture, DevOps, Applications, and Infrastructure.
We’re committed to guaranteeing inclusive recruitment processes and to advocating for hiring and promoting each candidate in an ethical and equitable way. The Group strictly prohibits discrimination against any applicant for employment because of the individual’s gender identity or expression, sexual orientation, visible and/or invisible disabilities, socio-economic and/or multicultural origins, health conditions, age, religion, or any other characteristics protected by law.
[2026] LOA - UKI - EC27: Digital Data Degree Apprenticeship in London employer: L'oreal Usa
L'Oréal USA is an exceptional employer, offering a vibrant work culture in Greater London that prioritises inclusivity and customer engagement. With benefits like up to 50% off products, wellness initiatives, and ample opportunities for professional growth, employees are empowered to thrive both personally and professionally while contributing to a leading global brand.
StudySmarter Expert Advice🤫
We think this is how you could land [2026] LOA - UKI - EC27: Digital Data Degree Apprenticeship in London
✨Get Involved in Data Science Communities
Dive into online forums like Kaggle or GitHub where data science enthusiasts hang out. Participating in competitions or contributing to open-source projects can really make you stand out and show off your skills!
✨Tap Into University Resources
Your uni career services are gold mines for apprenticeships! Attend any workshops or career fairs they host; you might just bump into employers looking to scout fresh talent for programmes like the one at L'oreal Usa.
✨Work on Real-World Data Projects
Create your own data science projects or collaborate with classmates on interesting datasets. This not only sharpens your skills but also gives you something to showcase during interviews, setting you apart from the competition.
✨Show Off Your Passion
Don’t just rely on formal applications! Write blog posts about your data science journey or share insights on social media. This can catch the eye of L'oreal Usa and show them you’re genuinely passionate about the field.
We think you need these skills to ace [2026] LOA - UKI - EC27: Digital Data Degree Apprenticeship in London
Some tips for your application 🫡
Show Off Your Relevant Skills:For a data science apprenticeship, make sure to highlight your skills in statistics, programming (especially Python or R), and data visualisation tools. Mention any relevant projects or coursework where you've applied these skills, even if it’s just in a school setting!
Tailor Your Motivation:In your cover letter, focus on why you want to dive into data science specifically. Share how this apprenticeship aligns with your career goals and learning aspirations. Remember, this is about showing us at L'oreal Usa that you're eager to learn and grow in the data field!
Portfolio Power!:Even if it's an apprenticeship, having a small portfolio of your data projects can set you apart. Include any analyses, visualisations, or data science-related tasks you’ve completed, whether on your own or as part of your studies. This shows that you've got hands-on experience, which is super appealing.
Keep It Relevant and Concise:Your CV should be focused and relevant – keep it to one page if possible! Tailor it for the data science role by including specific coursework, skills, and any experience with data handling. If you’ve done any data-related activities in clubs or competitions, throw those in too—every bit counts!
How to prepare for a job interview at L'oreal Usa
✨Brush Up on the Basics
Before your interview with L'oreal Usa, we need to nail down the fundamentals of statistics and machine learning. As an apprenticeship candidate, they’ll be keen on your understanding of key concepts—so make sure you can talk about linear regression, classification, and maybe even some hands-on work with tools like Python or R.
✨Showcase Your Projects
Bring any portfolios or projects you've worked on that highlight your data analysis skills. Even if they're for school or personal projects, being able to demonstrate how you approached a problem, analysed data, and derived insights will give you a leg up. Don't just talk about the data—show them what you've done with it!
✨Get Comfortable with Technical Questions
Expect some technical questions that test your problem-solving skills! You might be asked to explain how you would approach a specific dataset or solve a classic data challenge. Practise explaining your thought processes clearly, as this will showcase your analytical abilities as well as your ability to communicate complex ideas.
✨Emphasise Your Willingness to Learn
As an apprentice, your eagerness to learn is your biggest asset. Be prepared to discuss what you're looking to gain from the apprenticeship at L'oreal Usa. Whether it's mastering new programming tools or applying theoretical knowledge to real-life problems, let them know you're all about growing your skills and contributing to the team!
