Data Scientist



This job posting expired and applications are no longer accepted.
Virgin Media/O2
Published
12.12.2023
Location
London, United Kingdom
Job Type
Hybrid Working Opportunity
TELECOMMUTE

The role of Data Scientist at Virgin Media will play a major part in developing and implementing predictive models along with conducting detailed data exploration to maximise business value & growth through the application of data science techniques. The predictive models created will feed critical business infrastructure, offering a fantastic platform to hone your machine learning skills with direct impact on business objectives. You will work as part of a high-performing data science & insight team with ownership of models and the modelling process in the wider modelling eco-system.

We are delivering the biggest investment in the UK’s digital infrastructure for over a decade, with a £3bn programme to extend our ultrafast broadband network and brilliant Virgin TV to 17 million homes and businesses. We’re challenging our competitors with the best services and the fastest speeds.

Who we are

The UK’s fastest broadband network. The nation’s best-loved mobile brand. And, one of the UK's biggest companies too.

Diverse, high performing teams - jam packed with serious talent. Together, we offer the UK more choice and better value, through our boundary-pushing, customer-championing values and ambitions.

Together, we are Virgin Media O2, and we can't wait to see what you can do.

Accessible, inclusive and equitable for all

Virgin Media O2 is an equal opportunities employer and we're working hard to remove bias and barriers for our people and candidates. So, we build equity and inclusion into everything we do, from the policies we craft to the relationships we shape. We support and encourage you to be your authentic self throughout your application journey with us.

The must haves

In order to be considered, you must have the following experience;

  • Experienced in managing data and developing data science processes including implementing or managing a model factory framework, recommending on software, new approaches and resource requirements.
  • Ability to apply knowledge in statistics and machine learning to real world problems.
  • Ability to translate consumer business problems into analytics use cases and requirements.
  • Experienced with A/B testing methodologies and frameworks.
  • Knowledge of SQL, Python and relevant libraries (numpy, pandas, matplotlib, Scikit-learm, tensorflow, etc…) knowledge in other programming languages would be valuable (Spark, R, Matlab…).
  • Good communication skills offering ability to explain complex techniques to non-technical audience.
The other stuff we are looking for

We'd also love you to bring;

  • Strong mathematics or statistics background.
 
What's in it for you

Our goal is to celebrate our people, their lives and everything in-between. We aim to create a culture that empowers everyone to bring the best versions of themselves to work each and every day. We believe the most inclusive and diverse culture makes for a better business and a brighter world.

Working at Virgin Media O2, you get a bumper reward package bursting with benefits, and loads of extras you can add if you’d like to. These are designed to support both you and your loved ones, making sure that you’re covered no matter what life throws your way.

Next steps

If we feel like a place where you can belong, we'd love to learn more about you as a person and your experience to date. Once you've submitted an application the next steps of the process, if successful, are likely to include a two stage interview process.

When you apply, you'll be asked about any adjustments you might need to support the recruitment process. Let us know, and we'll be sure to discuss it with you. Thanks for your patience in the meantime and for showing an interest in joining the Virgin Media O2 family.

 

We are proud supporters of Women in Data®.  Connect, engage and belong to the largest free female data community in the UK – visit: www.womenindata.co.uk to join our community.

 

APPLY HERE: Data Scientist

 

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