Data Scientist/Engineer - Central London - Negotiable Salary


Premium Job From Nigel Frank International

Recruiter

Nigel Frank International

Listed on

28th September 2020

Location

City Of London

Salary/Rate

£40000 - £70000

Type

Permanent

Start Date

Asap

This job has now expired please search on the home page to find live IT Jobs.

My client, a small consultancy based in central London, is looking for a Data Scientist/Engineer to join their Data Science practice. You will have the chance to work with Data Science and Big Data technologies and have exposure to a different array of projects, without having to travel like you usually would with a consultancy! Their offices are in central London with a major station nearby, so an easy commute for anyone who lives outside of London and wants to commute or anyone who wants to build their career in London whilst being close to the action. The client works with major names, to be considered for the role you will need to demonstrate you are extremely motivated to succeed, confident and able to get your point across when needed.

In exchange for your dedication, the client offers a competitive salary and excellent benefits!The role: You will work closely as part of the team to design and develop algorithms You will work closely with the engineering team to integrate Machine Learning models into platformsYou will be able to focus on the delivery of projects and always keep yourself up to date with the latest Data Science updatesSkills we're looking for:MSc in Computer Science or related field (Data Science and Machine Learning highly beneficial)You will need to have 1 to 3 years of experience as a Data Scientist or Engineer and ideally an understanding of bothExperience with Spark, Hadoop and PythonKnowledge and commercial experience with AWS a must Benefits offered:Competitive salary Macbook ProUnlimited access to online training and certifications!Work from home daysTeam events and a relaxed work environmentLife InsuranceHealth Insurance

You are currently using an outdated browser.

Please consider using a modern browser such as one listed below: