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Director, Machine Learning & Data Science

City:  London
Country/Region:  GB
Application Deadline:  N/A

Do you want to be a part of the world’s leading jewellery company while putting your experience in scaling Data and Analytics Products into use? If yes, then we might have an exciting opportunity for you! You will be part of an exciting business area and work in an international organisation of can-do spirited, passionate, and performance-driven people. We value flexibility and informal working, where you are trusted to deliver and to focus on outcomes, outputs and value delivered.



About the Team:

During the next year, we will continue to establish a world-class digital team of thinkers, makers, and doers to ensure digital and technology is at the heart of our business. And we want you to bring your expertise, knowledge, ideas, entrepreneurial spirit, and experience to make a significant impact, and help build and shape this with us from an early stage.


Our Data Science & Machine Learning team in the Data & Analytics Center of Excellence at Pandora are a group of data-driven professionals who support business units across the full value chain with actionable insights and predictive analytics. We have a data lake, a unified analytics platform and solid communication skills that help us translate data into business value. Your new team consists of a diverse and happy group of analysts, scientists, engineers and product people with a clear mission: We are here to deliver data-driven experiences in all consumer journey touchpoints, develop actionable insights to inform business decisions across supply chain, product, marketing, commerce, finance, HR and more - and have fun while doing it. 


As part of expanding the Pandora Digital and Technology organization in Copenhagen, we are looking for a Director, Machine Learning & Data Science. This brand new role will not only be responsible for building out our ML & DS Capability, but will also take on the office lead role for our new Digital Hub in London.


Your role as Director, Machine Learning & Data Science:


As a Director, Machine Learning & Data Science, you will be responsible for helping to drive the future of our team and scale our Data & Analytics Centre of Excellence to the next level.


In addition to this you will:


  • Lead design, implementation and scaling of data and analytics products that support business objectives and vision across the value chain and drive adoption across business units, markets and technology platforms.
  • Accountable for data science platforms and solutions, algorithmic design and analytics products.
  • Communicate outputs from data science models at an executive level, and help senior business executives and teams drive complex decisions based on data and insights.
  • Develop and nurture a results-driven team culture to ensure effectiveness of products and teams.
  • Build organizational capabilities by attracting, developing and retaining a team of world-class data science talent.
  • Collaborate with the ML Engineering team and the wider Digital and Technology organization to evolve the data architecture to support better integration, and platform tools to support data science.
  • Develop team goals, strategy and operational plans needed to achieve the mission in collaboration with team managers.




What is needed to succeed:


  • An advanced degree in a quantitative field - computer science, engineering, physics, statistics or other.
  • Excellent written and oral communication skills with an ability to explain complex analytical concepts to non-experts and senior business stakeholders.
  • 10+ years of professional data science and machine learning experience, 5+ years of experience in building and managing data science and analytics teams responsible for delivering, scaling and productionizing data and analytics products within marketing, commerce, merchandising, supply chain, product, finance, HR.
  • Track record of recruiting and retaining data and analytics talent.
  • Experience in designing and delivering a data science roadmap and the vision behind it.
  • Experience in developing and delivering data science projects through POC, MVP through to production and maintenance, working closely with engineering and technology teams and using modern agile methodologies and tools.
  • Experience running data science in a modern DevOps, MLOps and data engineering environment incl.real-time analytics use cases
  • Extensive experience with data science, machine learning and optimization techniques.
  • Advanced knowledge of databases and engineering concepts with hands on experience with one or more data analytics/programming tools such as Hive/SQL/Spark/Python/R/Julia incl.
  • Expert-level experience with one or more machine learning frameworks (scikit-learn, Spark ML, TensorFlow, PyTorch, Keras)
  • Industry presence and thought leadership through published research, blogging, conferences, meetups, open source contributions
  • Outcome driven mindset, thinking big, starting small and scaling fast.



About Pandora


The largest jewellery company in the world, we craft incredible moments for millions of people every day. We sell three pieces of our hand-crafted jewellery every second and have the largest network in the industry, with almost 7,000 points of sale around the globe and a strong online business.


We pursue sustainability In everything we do and have set ambitious and measurable targets across every touchpoint of our business, from sourcing through to the materials we use and the marketing of our products. 


Our people


Our global workforce is made up of over 27,000 passionate people who, in 2021, helped Pandora record the highest earnings to date, led by a refreshed long-term growth strategy. The pace of our progress has created an energising, ambitious culture where we are empowered to be ourselves and equipped to deliver our very best.


As we continue to grow, we also continue to invest in our talent. We’re looking for people who share our values and can make their own mark as we continue through the next chapter of our story.


Why work with us?


Our people are an integral part of our success. Our commitment to unforgettable career progression is just the start. We offer a competitive rewards package that is second to none.


Our generous benefits package includes:

  • A highly competitive salary with regular salary reviews
  • Generous bonus scheme
  • Private healthcare
  • Early finish Fridays (weekends with Pandora start every Friday at 3pm!)
  • 55% employee discount
  • Free daily lunch credits
  • 33 days holiday (including bank holidays)
  • Buy/sell holiday options
  • Celebrate your birthday with a day off to celebrate!
  • Join our Employee Wellbeing Centre, including access to our employee assistance programme, Cycle to Work scheme, gym discounts and more…
  • Winniperks - Our online benefits platform with plentiful retail, hospitality and entertainment discounts
  • At Pandora we love a party! Especially at Christmas, when you will receive an extra special gift


If you are looking for a new challenge and feel you have the relevant skills then don’t miss out!


Please understand that due to the large number of applications, we regret that only online applications can be considered. Please click apply to submit your application.


*If you require reasonable adjustments in place during your interview(s), please make us aware as soon as possible*