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Senior Data Scientist

Date: 10-Jun-2021

Location: UXBRIDGE, GB

Company: Telefonica S.A.

Job grade: PCGT

Location(s):  London/Uxbridge

Closing Date: 25/06/2021

 

giffgaff is a little different to your `normal` telecoms company. It`s a mobile business owned by Telefonica, but run by its members. Sounds interesting? It is. 

 

giffgaff is a fast growing mobile network. Our business model is unique - we take a highly collaborative approach with our members who help (and are rewarded for helping) across all areas of the business. Our vibrant online community, online platform and immense value proposition are key to our success. We do not have a retail footprint or expensive call centres, so we can pass these savings straight on to our members in a way that no other telecoms business does.

 

As a lean organisation, our team is built of people who are multi-skilled, highly motivated and flexible - if that sounds you like you we`d love to hear from you.

 

About the Team:

 

The core mission of the Data Science Team is to deliver advanced data analytics and machine learning solutions to help the business make timely decisions and deliver technology innovations, contributing to retention, acquisition and member experience goals. The team works horizontally with all areas of the business and has a strong technology focus to deliver Machine Learning and AI solutions into our products.

 

About the Role:

 

The role involves delivery of advanced analytics pipelines using a variety of modelling techniques and development of machine learning solutions that improve our products / services and maximise business impact.

 

Key Responsibilities:

 

  • Demonstrate strategic leadership on driving data science technical foundations, while focusing on applications that address core business challenges
  • Design and run experiments to collect and process relevant data for training and building machine learning models
  • Implement automated analytical pipelines to deliver a variety of business insights (predictive analytics, anomaly detection, NLP, etc.)
  • Work closely with the Data Science Principal Engineer to deploy machine learning models into our production system
  • Recruit, train and drive the continuous technical development of the data scientists in the team

 

What We Need from You:

 

  • 3+ years experience in leading data science projects, including mentoring or line-managing more junior data scientists
  • Strong track record of deploying machine learning solutions, include deep learning models, in a variety of applications (e.g. predictive analytics, natural language processing, anomaly detection, etc.)
  • Strong experience in Python coding, with very proficient use of core data science libraries, as well as familiarity with deep learning libraries (e.g. TensorFlow, PyTorch, Keras)
  • Experience working with SQL databases
  • Some experience with big data technologies (e.g. Spark), familiarity with test-driven development and agile development methodologies would be a plus

 

 

 

We’ll be sending you emails about the status of your application. To make sure you receive these, please add @O2.com and @telefonica.com to your Safe Senders list.

 

We’re looking to pay a great compensation package (depending on experience) for this position. We also offer plenty of extras to sweeten the deal, which could include things like bonuses, life assurance cover, health care and lots of flexible benefits.  

 

Also, every employee has their personal development supported with a LinkedIn learning account; plus other role specific learning available through our award-winning digital learning platform - O2 Campus. 

 

We also believe a great work-life balance is important, so we’re open to considering candidates who are looking for flexible working arrangements. Like to know more, feel free to raise it.  

 

Join us and we’ll encourage you to be bold every day. So take a deep breath, your career is about to go to exciting new places. 

 

If you have any questions around the role then please email ResourceTUK@o2.com who will be happy to help.