Senior Data Scientist (Machine Learning & Advanced Analytics)

QVC; City Of London; Hybrid; GBP 125,000 - 150,000; Full time

Job summary

A leading retail company in London is looking for a Senior Data Scientist to join their advanced analytics team. This hybrid role involves developing models and working with data engineering. The ideal candidate has a Master's degree in a quantitative field, several years of experience in data engineering, and proficiency in machine learning frameworks. Competitive compensation and benefits are offered.

Benefits

Competitive compensation

Paid time off

Parental leave

Employee discounts

Qualifications

• Several years of professional experience in data engineering.
• Over 3 years of experience in machine learning.
• Knowledge of cloud technology stacks and data visualization tools.

Responsibilities

• Develop models, programming & data engineering.
• Define new analysis techniques and approaches.
• Ensure stability and quality of models.
• Present results and advise business on usability.

Skills

Advanced SQL

Machine learning

Data engineering

Python

Big Data platforms

Education

Masters degree in Applied Mathematics, Physics, Statistics

PhD preferred

Tools

Scikit-Learn

Keras

TensorFlow

PyTorch

Spark

Hadoop

AWS

GCP

Azure

Tableau

Qlickview

PowerBI

Job description

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 [e-mail] 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.