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Data Idols jobs

Lead Full-Stack Data Scientist

£105,000 - 115,000
Data Idols
Penrose Way 6, London
£105,000 - 115,000
Company Size icon
Company Size
<50
Company Type icon
Company Type
Services
Exp Level icon
Exp Level
Lead
Job Type icon
Job Type
Full-Time
Language icon
Language
English
Visa sponsorship icon
Visa sponsorship
No

Requirements

Must:
We are looking for a Lead Full-stack Data Scientist with the following skills and experience: - Proficiency in building and deploying models into production - Strong knowledge of Python - Experience with SQL - Exposure to Google Cloud Platform (GCP) - Proven ability to lead projects from start to finish

Responsibilities

In this role, you will: - Drive data initiatives and lead strategic projects - Develop and implement cutting-edge models - Provide technical leadership to the data science team - Mentor team members while delivering high-performing solutions

Description


We are a data-driven business based in London, adopting a hybrid work model. You will report to the Head of Data Science and support our team of Data Scientists. If you are eager to embrace this exciting opportunity, we invite you to submit your CV for initial screening and further details.
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You can find Data Engineer salaries in the UK here.

How many Data Engineer jobs are in the UK?

Currently, there are 1888 Data openings. Check also: Spark jobs, Snowflake jobs, Kafka jobs, Hadoop jobs - all with salary brackets.

Is the UK a good place for Data Engineers?

The UK is one of the best countries to work as a Data Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.

Which companies are hiring for Data Engineer jobs in the UK?

Core-Asset Consulting, ApplianSys, u-blox, Serac Group, Mas & Pas Limited, BAE Systems, Leidos among others, are currently hiring for Data roles in the UK.

The company with most openings is Ocho as they are hiring for 61 different Data Engineer jobs in the UK. They are probably quite committed to find good Data Engineers.