Harnham
,
London, Greater London
Data Scientist
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Job Type: Full-time |
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Salary: £45,000 per annum |
Overview
Data Scientist London, United Kingdom Salary up to £45,000 - £50,000 Benefits This is a senior Data Scientist role where you will work on Machine Learning models that will impact on a global scale, this is one of the leading mobile communicate-rs who are now looking for an expert to work on some complex end-to-end Machine Learning models. If this is something that could be of interest to you then keep reading THE COMPANY With over 400 million customers, operating in over 25 countries this multinational company is now hugely successful. Join a team of experts based in London, responsible for designing re usable models, leveraging big data and working with Machine Learning and Artificial Intelligence on a global scale. THE ROLES Within this role you will have access to some of the best data, you will develop Machine Learning and Artificial intelligence models to leverage automation within the company. Further details of the role are as follows: Deliver hands on coding solutions Lead projects Use open source frameworks on the cloud Develop recommend er systems Work on reinforcement Machine Learning Train other and mentor juniors Consult with key stakeholders Build end-to-end Machine Learning models Ensure analytical solutions are able to meet business needs that are required YOUR SKILLS AND EXPERIENCE PhD in a quantitative discipline Experience developing models and algorithms from structured and unstructured data Deep modelling expertise Experience with Deep Learning and Machine Learning Experience working in cross functional teams Strong knowledge of Big Data technology Commercial mindset At least 4 years experience as an industry Data Scientist Good consultative skills Pro efficient in statistical packages Familiar with visualisation tools Experience on the cloud SALARY AND BENEFITS Earning potential up to £45,000 - £50,000 a number of benefits HOW TO APPLY Please register your interest by sending your CV to Charlotte York via the apply link on this page