Senior Data Scientist (Machine Learning & Advanced Analytics)

QVC
City of London
3 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Thank you for your interest in joining our team! QVC Group, Inc. is a Fortune 500 company with six leading retail brands – QVC®, HSN®, Ballard Designs®, Frontgate®, Garnet Hill® and Grandin Road®. We are a live social shopping company that redefines the shopping experience through video-driven commerce on every screen, from smartphones and tablets to laptops and TVs. QVC Group brings innovative products, compelling content, and unforgettable moments to millions of shoppers worldwide via social platforms, streaming apps, ecommerce sites and TV channels, making every screen a doorway to discovery, delight and community.


The Opportunity

Here at QVC UK we are on the search for a Senior Data Scientist to join our growing advanced analytics team, in Chiswick Park, London. Reporting to the VP Advanced Analytics, you will develop models, programming and data engineering. This job is a hybrid working role.


Who We Are

QVC empowers shoppers with knowledge and shares insights in a lively, engaging way. We offer an ever-changing collection of familiar brands and fresh new products – from home and fashion to beauty, electronics and jewellery – and we connect shoppers to interesting personalities, engaging stories and award‑winning customer service.


QVC International brings the QVC shopping experience to millions of people in Germany, Austria, Japan, the U.K., Ireland and Italy. QVC International reaches 124 million homes via 10 television networks and reaches millions more via multiple streaming services, websites, mobile apps and social pages. QVC International has team members in the U.K., Germany, Japan, Italy, Poland and China.


Your Impact

  • You will develop models, programming & data engineering
  • You'll define new and advanced analysis techniques and approaches
  • You will ensure the stability and quality of our models
  • In cooperation with different internal partners, you will define our requirements and the relevant indicators of success
  • You will present results and advise the business on the usability of the results
  • Within the introduction of new methods you will take on tasks in the area of change management
  • In cooperation with our IT teams you define requirements for the technology stack
  • You will optimise existing methods, technologies and tools and keep yourself informed about new trends in the market
  • You will help train and onboard new colleagues, less experienced data scientists and engineers

What You Bring

  • You will have a Masters degree (PhD preferred) in Applied Mathematics, Physics, Statistics or another quantitative discipline
  • You will have several years of professional experience in data engineering, especially with advanced SQL and big data pipeline skills
  • You'll have over 3 years of experience in machine learning with frameworks such as Scikit‑Learn, Keras, TensorFlow, PyTorch, Mllib
  • Excellent knowledge of analytical techniques, especially in the field of machine learning and pattern recognition and optimization
  • Experience using Big Data platforms (Spark, Hadoop) for large data volumes
  • You will have knowledge of cloud technology stacks (AWS, GCP, Azure) and data visualization tools and applications (Tableau, Qlickview, PowerBI)
  • You should have very good knowledge of at least one scripting language like Python (preferred) or R
  • Knowledge of container platforms, e.g. dockers
  • Business-oriented presentations of complex concepts for a business audience
  • You will simplify workflows and communicate complex statistical concepts in a simple way

Disability Confident Scheme

QVC UK is a Disability Confident Leader, level 3 accredited employer and operates a Disability Confident Scheme (“DCS”). For any UK based roles, if you’d like to be considered under this scheme, please indicate this on the application form.


Total Rewards

Our total rewards package includes benefits you’ll love such as competitive compensation, paid time off, an employee assistance program, parental leave, paid volunteer hours, and amazing company discounts! In our US market, you can also expect health care benefits starting on day 1, 401(k), and tuition reimbursement benefits.


QVC Group is committed to inclusion and belonging for all and ensuring that our workplace provides equal employment opportunities for all team members and candidates and complies with all applicable federal, state, and local laws and regulations. As an equal opportunity employer, QVC Group is committed to a barrier-free employment process. If you need reasonable accommodations/support throughout, please contact us at for assistance.


If provided, salary ranges are a general guideline only, and actual salaries will vary and are based on factors such as a candidate's qualifications, skills, experience, and geographic location as well as business and market conditions.


#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.