Senior Specialist, AI Data Scientist

Do you want to build impactful, scalable AI and automation solutions for the world’s leading jewellery brand? If yes, we are excited to welcome a new colleague to join Pandora’s Global Merchandising & Supply Chain Strategy & Intelligence team! 

Deliver value through applied AI and intelligent automation 

Applied AI is a major enabler of Pandora’s transformation, helping us drive productivity, automate manual processes, and enable smarter decision-making across our Merchandising & Supply Chain organization. As Senior AI Data Scientist, you will design, build, and deploy practical AI and automation solutions that directly enhance operational efficiency and commercial impact. 

You will work hands-on with Python, SQL, and large datasets to create predictive models, optimization tools, automation workflows, and intelligent insights products. You will partner closely with Product Managers, Reporting teams, and D&A/Digital Tech to ensure models and tools are production-ready, scalable, and fully embedded in day-to-day operations. 

You will join a fast-growing, international team committed to strengthening data and AI capabilities across the function. You will report to the Product Manager, Merchandising & Supply Chain Intelligence. 

In this role, you will be a key contributor to Pandora’s applied AI journey — bringing analytics, automation, and machine learning to life in ways that generate real, measurable business impact. 

Your accountabilities will be to: 

• Design, build, and deploy AI-driven models and automation workflows that support merchandising and supply chain decisions 
• Develop predictive, optimization, or classification models using Python and SQL 
• Automate recurring analytical and reporting processes to improve speed, consistency, and productivity 
• Deliver production-ready solutions with strong documentation, testing, and validation 
• Translate business challenges into structured analytical frameworks and data models 
• Work with large, complex datasets across merchandising, demand planning, and supply chain domains 
• Improve model accuracy and robustness through iterative enhancement 
• Extract and transform data from enterprise systems in collaboration with D&A and D&T teams 
• Contribute to improving data quality, readiness, and pipeline scalability 
• Embed advanced analytics and model outputs into dashboards and reporting tools 
• Support the transition from descriptive to predictive and prescriptive insights 
• Pilot practical AI use cases and experiment with emerging technologies (e.g., LLMs, automation frameworks) 
• Help build applied AI capability across the organization through best practices and knowledge sharing 

Effective contributor in a global data & AI function 

We imagine you bring strong hands-on technical experience, curiosity for automation, and a passion for turning data into tangible business impact. You are structured, proactive, and comfortable working independently across the entire development lifecycle — from concept to deployment. You enjoy combining technical depth with real-world problem solving and collaborating with both technical and non-technical stakeholders. 

We hope you bring the following experience and competencies: 

• 3–7 years of experience in data science, applied analytics, or advanced analytics 
• Strong hands-on programming experience in Python and SQL 
• Experience working with large datasets and enterprise environments 
• Experience building and validating machine learning models 
• Familiarity with ML libraries (e.g., scikit-learn, PyTorch, TensorFlow) 
• Experience integrating models into reporting tools (Power BI, Tableau, Alteryx) or operational systems 
• Exposure to cloud platforms or AI environments is a plus 
• Ability to translate business needs into scalable analytical or automation solutions 
• Clear communicator who can explain technical concepts to non-technical partners 
• Structured, disciplined, and detail-oriented approach to testing and documentation 
• Curious, proactive, and motivated by driving measurable business impact 
• Collaborative mindset with comfort working across Product, Reporting, D&A, and business teams 

Education 

A Bachelor’s or Master’s degree in one of the following (or equivalent experience): 
• Data Science, Computer Science, Software Engineering, Artificial Intelligence 
• Mathematics, Statistics, Applied Mathematics, Quantitative Economics 
• Engineering (Industrial, Systems, Computational, etc.) 
• Physics or other quantitative scientific disciplines 

Additional information  

• Global Career Band 5A 

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  .  

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   

Pandora is the world's largest jewellery brand, specialising in the design, crafting and marketing of accessible luxury jewellery made from high-quality materials. Each piece is created to inspire self-expression, allowing people to share their stories and passions through meaningful jewellery. Pandora jewellery is sold in more than 100 countries through 7,000 points of sale, including more than 2,800 concept stores. 

Headquartered in Copenhagen, Denmark, Pandora employs around 39,000 people worldwide and crafts its jewellery with 100% recycled silver and gold. Pandora is committed to leadership in sustainability and has set out to halve greenhouse gas emissions across its value chain by 2030. Pandora is listed on the Nasdaq Copenhagen stock exchange and generated revenue of DKK 32.5 billion (EUR 4.4 billion) in 2025. 

Recognised by the Financial Times as one of Europe’s Best Workplaces and ranked #1 among Danish companies, Pandora is committed to building an inclusive and diverse workplace. We believe that reflecting the diversity of society in how we engage with our customers is essential to fulfilling our purpose: to give a voice to people’s loves. We are dedicated to nurturing a culture where everyone feels respected, valued, and empowered to thrive.