Data Scientist

PANDORA
London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

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:

  1. Partner with our stakeholders to identify valuable insights and an in-depth understanding of business cases.
  2. Work on end-to-end Machine Learning products, from exploration, prototyping, and evaluation to deployment.
  3. 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:

  1. Academic degree in Statistics, Mathematics, Computer Science or equivalent.
  2. Minimum four years of experience as a Data Scientist or Machine Learning Engineer.
  3. Fluent in Python and python testing.
  4. Experience with hypothesis testing/experiment design.
  5. Excellent understanding of Data Science fundamentals from ability to explain the rationale behind the modelling process to model deployment, continuous training, and monitoring.
  6. Experience in ML systems design, development, and deployment using Software Development Lifecycle applied to Machine Learning.
  7. Working knowledge of version control, DevOps, and TDD.
  8. Fantastic team player and collaborator.

Preferred but not must have:

  1. Experience with Databricks and pyspark.
  2. Experience with deep learning frameworks such as TensorFlow, Keras, or PyTorch.
  3. Data science experience working within E-commerce or retail.
  4. Proficiency in both written and oral English.

About Pandora:

Pandora is the world's largest jewellery brand. The company designs, manufactures, and markets hand-finished jewellery made from high-quality materials at affordable prices. Pandora jewellery is sold in more than 100 countries through 6,500 points of sale, including more than 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. Pandora is committed to leadership in sustainability and will purchase only recycled silver and gold for crafting its jewellery by 2025 and halve greenhouse gas emissions across its value chain by 2030. Pandora is listed on the Nasdaq Copenhagen stock exchange and generated sales of DKK 26.5 billion (EUR 3.6 billion) in 2022.

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:

  1. A highly competitive salary with regular salary reviews.
  2. Generous bonus scheme.
  3. Private healthcare.
  4. Choice of lunch on us, delivered to you whenever you are in the office!
  5. Early finish Fridays (weekends with Pandora start every Friday at 3pm!).
  6. 55% employee discount.
  7. 25 days annual leave (plus bank holidays).
  8. Buy/sell holiday options.
  9. Celebrate your birthday with a day off to celebrate!
  10. 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.
  11. Wellness Hub: videos to help you lead a healthy lifestyle.
  12. Employee Assistance Programme: a completely confidential, free, counselling phone line open 24/7, all year round.
  13. Recognition programme: celebrate and share achievements with the wider business.
  14. 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!

#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.