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Data Scientist

London - Hybrid

£60,000 - £80,000 plus Benefits and Bonus

TECH STACK: Python, R, SQL, Google Analytics

This is an exciting opportunity for an experienced data scientist to join one of the largest media technology brands in the world and be involved on a number of projects relating to the optimisation of their vast marketing spend across their brands.

ABOUT THE COMPANY

This business is a household name in the UK and their products and services are used by millions of people each day. They have recently completed a major migration project to a new cloud data environment and they are now looking to build out their data science team.

ABOUT THE ROLE

In this role you will join their growing data science team and work on a global scale. You will have the opportunity to lead several projects relating to the optimisation of their marketing spend.

Key things you will be responsible for are:

• Identify new areas of the business that can be improved with their marketing model
• Work on maintaining existing machine learning models
• Contributing to the optimisation of their marketing budgets and spending
• Work highly cross-functionally with internal teams to get models into production
• Leading and mentoring junior members of the team

SKILLS & EXPERIENCE:

To be considered you MUST have experience in the following:

• Bachelors in a STEM Subject
• Hands on industry experience working as a Data Scientist / Machine Learning Engineer
• Experience with the required tech stack: Python, SQL, R
• Hands on experience working on end-to-end machine learning models
• Strong communication skills

BENEFITS

Excellent bonus, benefits and hybrid working

Job Type: Full-time

Salary: £60,000.00-£80,000.00 per year

Schedule:

• Monday to Friday

Supplemental pay types:

• Yearly bonus

Application question(s):

• Are you willing to work on a hybrid basis from London?

Education:

• Bachelor's (required)

Experience:

• Python: 3 years (required)
• SQL: 3 years (required)

Work Location: Hybrid remote in London

Reference ID: 32232