At Pandora, we are transforming the retail experience with cutting-edge technology. Our mission is to provide an exceptional shopping experience to our customers by leveraging data-driven insights and innovative solutions across our business. We are looking for a talented Machine Learning Engineer to join our dynamic team and help us shape the future of retail.

Job Summary:

As a Machine Learning Engineer at Pandora, you will play a key role in developing and deploying machine learning models that drive impactful decisions and elevate customer experiences. You will collaborate closely with a diverse group of data scientists, data engineers, and business leaders to create scalable solutions that optimize our retail operations across the full value chain – covering jewellery design and crafting, supply chain logistics, to instore/online retail and marketing. We encourage creative problem-solving, continuous learning, and work-life balance in a supportive environment.

Key Responsibilities:

• Model Development: Work in end-to-end analytical products, from exploration and prototyping to productizing and testing, helping to solve complex business problems across the full value chain.
• Data Pipeline Engineering: Develop and maintain data pipelines for collecting, processing, and analyzing large datasets, ensuring data quality and consistency.
• Model Deployment: Deploy machine learning models into production environments, ensuring they are scalable, reliable, and easy to maintain.
• Collaboration: Work closely with cross-functional teams, including data scientists, software engineers, MLOps engineers, product managers, and business stakeholders, to understand business needs and translate them into machine learning solutions.
• Performance Monitoring: Continuously monitor the performance of deployed models and implement improvements to enhance their accuracy, efficiency, and scalability.
• Research & Innovation: Stay up-to-date with the latest developments in machine learning and AI, and apply new techniques to improve existing models and processes.
• Documentation: Maintain clear and comprehensive documentation of models, processes, and systems to facilitate knowledge sharing and collaboration.

Qualifications:

Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field.

Experience:

• 3+ years of experience as a Machine Learning Engineer, Data Scientist, or similar role.
• Experience in the retail industry or e-commerce is highly desirable.

Technical Skills:

• Strong problem-solving abilities, solid background in algorithms and data structures.
• Strong proficiency in Python.
• Ability to work with machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark MLlib).
• Experience with big data using Databricks, Snowflake, Apache Spark or Hadoop.
• Proficiency in SQL and experience with relational databases.
• System level architecture understanding including scaling, MLOps, model/data monitoring, and ensuring a deterministic pipeline.
• Familiarity with cloud platforms (e.g., Azure) and containerization technologies (e.g., Docker, Kubernetes).
• Experience with version control systems (e.g., Git) and collaborative development tools (e.g., JIRA, Confluence).

Soft Skills:

• Strong problem-solving skills with the ability to work independently and collaboratively in a fast-paced environment.
• Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• A proactive attitude and a passion for continuous learning and innovation.

Our Pandora Values

We dream, are visionary and go beyond the obvious.  

We dare to pursue bold ambitions with courage and speed.  

We care deeply about each other, our customers and the planet we all share. Every day we strive to be a fulfilling workplace, where each of us can thrive and contribute, where talents can grow, and  

We deliver on our promises to colleagues, customers, partners and stakeholders. 
 

We are focused on building a diverse and inclusive workforce. If you’re excited about this role, but do not meet 100% of the qualifications listed above, we encourage you to apply. 

Did we get your attention

If you see yourself in the position and would like to become a part of Pandora’s future, please do not hesitate to apply. We look forward to hearing from you!

We process applications on a continuous basis, which is why we encourage you to send your application as soon as possible. You can also read more about Pandora on our corporate site www.pandoragroup.com. 

Icing on the cake 

You will be working out of our beautiful Head Office in Copenhagen V, established in 2016 and designed to unite and inspire our teams. Besides our beautiful interior design we are also proud of our LEED Gold Certification for Energy and Environmental Design. This means that we use as few natural resources as possible and that we use them with respect. The result is a professional and dynamic space that is unique, comfortable and inspirational – and delivers a true Pandora experience to anyone who works here or comes to visit.

About Pandora

Established in 1982, Pandora designs, manufactures and markets hand-finished jewellery made from high-quality materials at affordable prices. Pandora’s products are available in more than 100 countries on six continents through more than 6,500 points of sale, including around 2,500 concept stores.

Headquartered in Copenhagen, Denmark, Pandora employs 32,000 people worldwide and crafts its jewellery at two LEED certified facilities in Thailand, using mainly recycled silver and gold. The company plans to be carbon neutral by 2025 and has joined the Science Based Targets initiative to reduce emissions across its full value chain. Pandora is listed on the Nasdaq Copenhagen stock exchange and generated a revenue of DKK 28.1 billion in 2023. 

At Pandora, we believe that creating an inclusive and diverse workplace and reflecting societal diversity in our customer engagement is essential to delivering on our company purpose: to give a voice to people’s loves. We dedicate ourselves to fostering, cultivating and preserving a culture of inclusion and diversity where everyone feels respected and valued.