Associate Data Scientist (Networks)

Job Title: Associate Data Scientist (Networks)
Contract Type: Permanent
Location: City of London, London
Salary: £55000.00 - £65000.00 per annum + Additional benefits
Reference: BBBH29173_1642506367
Contact Name: Mavis Kuvula
Contact Email:
Job Published: January 18, 2022 11:46

Job Description

Data Scientist - Python / SQL - City of London / Hybrid role
An exciting opportunity to work with a leading entertainment company that serves over 20 million customers across multiple countries. You will get the opportunity to work with an award-winning organization that covers customer service, marketing, finance and technology. Due to the diversity of their departments, that creates a space for growth for everyone as each department creates space for new challenges and progression for every member of the team.
As a data scientist you will be focusing on network planning goals and capacity planning from a data driven approach. With an amazing team you will create insights to reinforce planning decisions and support wider commercial objectives. As a member of the team, you'll enjoy a generous benefit package that includes a premium package of their services, a share save scheme, private health care and much more!
Your main responsibilities will be to make a connection between infrastructure technology and the development of software & analytics capabilities to model and produce automation tooling to aid strategic planning.
The ideal candidate is an individual who is always up for a new challenge with a strong understanding of algorithms and programming languages. The individual must have experience and a great understanding of Python and SQL. If you are a data scientist reading this and feel passionate about technology and telecommunication then this is the perfect role for you!
The role will be filled quickly due to the nature of the company, the growth opportunity, the culture, the responsibilities, and seniority. Apply now to avoid missing out!
Key words: Python / SQL / Telecommunication / Data scientist / Analysis