Data Scientist

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

Data Scientist - London 

  

We have recently started our journey in the advanced analytics space with substantial unexplored potential in the consumer engagement, supply chain, merchandising and manufacturing business units. We are looking at developing in-house capabilities within personalisation & recommendation, forecasting models, and trend analysis to help us achieve the next level of innovation and customer satisfaction. 

As Data Scientist, you will work with our stakeholders worldwide to tackle exciting and challenging problems using machine learning and optimisation techniques. You will ensure we use state-of-the-art techniques to support and automate data-driven decision-making processes. 

 

Your key accountabilities will be to:   

 

  • Partner with our stakeholders to identify valuable insights and an in-depth understanding of business cases.  

  • Work on end-to-end Machine Learning products, from exploration, prototyping, and evaluation to deployment.  

  • Collaborate with cross-functional teams of business units, data engineering, data platform and MLOps to identify data and deliver models using the MLOps framework.  

 

What is needed to succeed:   

 

  • Academic degree in Statistics, Mathematics, Computer Science or equivalent. 

  • Minimum four years of experience as a Data Scientist or Machine Learning Engineer.  

  • Fluent in Python and python testing 

  • Experience with hypothesis testing/experiment design 

  • Excellent understanding of Data Science fundamentals from ability to explain the rationale behind the modelling process to model deployment, continuous training and monitoring  

  • Experience in ML systems design, development and deployment using Software Development Lifecycle applied to Machine Learning 

  • Working knowledge of version control, DevOps and TDD 

  • Fantastic team player and collaborator.  

 

Preferred but not must have:  

 

  • Experience with Databricks and pyspark  

  • Experience with deep learning frameworks such as TensorFlow, Keras or PyTorch.  

  • Data science experience working within E-commerce or retail.  

  • Proficiency in both written and oral English. 

 

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.

 

What can we offer you?

 

You will be joining the team at our brand-new London Digital Hub, which is located a stone’s throw from London’s iconic Oxford Street, at the heart of the city. The London Hub is growing at a faster pace than ever, and your role will be part of the first waves of new, exciting talents we are introducing to the team. At the London Hub, we like to keep things flexible – this hybrid role is an example of that, with two days working from the office and three days working from home, so you can choose what works for you.
 

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
  • Choice of lunch on us, delivered to you whenever you are in the office!
  • Early finish Fridays (weekends with Pandora start every Friday at 3pm!)
  • 55% employee discount
  • 25 days annual leave (plus bank holidays)
  • Buy/sell holiday options
  • Celebrate your birthday with a day off to celebrate!
  • Pandora Perks: access our exclusive online platform provided by Reward Gateway, where you’ll have access to: Discounts on retail brands, cinema tickets, holidays, gym memberships and more
  • Wellness Hub: videos to help you lead a healthy lifestyle
  • Employee Assistance Programme: a completely confidential, free, counselling phone line open 24/7, all year round
  • Recognition programme: celebrate and share achievements with the wider business
  • 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, come and craft the incredible with us!