Applied Data Scientist: Retail Customer Analytics & ML in London

Applied Data Scientist: Retail Customer Analytics & ML in London

London Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Limelight Health

At a Glance

  • Tasks: Solve complex problems using advanced data science methods and cutting-edge technology.
  • Company: Dunnhumby Ltd, a leader in retail customer analytics.
  • Benefits: Comprehensive rewards, flexible working options, and a diverse culture.
  • Other info: Join a talented team and enjoy a culture of diversity and inclusion.
  • Why this job: Drive change in retail analytics and make a real impact.
  • Qualifications: Degree in Statistics, proficiency in Python and SQL, retail analytics experience.

The predicted salary is between 60000 - 80000 Β£ per year.

Dunnhumby Ltd in Greater London is hiring an Applied Data Scientist who will be integral in solving complex problems. You will join a talented team focused on delivering impactful solutions using cutting-edge technology and advanced data science methods.

The ideal candidate will have:

  • A degree in Statistics or similar
  • Proficiency in Python and SQL
  • A background in retail analytics

Enjoy comprehensive rewards, flexible working options, and a culture of diversity and inclusion.

Applied Data Scientist: Retail Customer Analytics & ML in London employer: Limelight Health

Dunnhumby Ltd is an exceptional employer located in Greater London, offering a dynamic work environment where innovation thrives. With a strong commitment to employee growth, you will have access to comprehensive rewards, flexible working options, and a culture that champions diversity and inclusion, making it an ideal place for those looking to make a meaningful impact in retail analytics.

Limelight Health

Contact Details:

Limelight Health Recruitment Team

We think you need these skills to ace Applied Data Scientist: Retail Customer Analytics & ML in London

Communication Skills
Problem-Solving Skills
Python
SQL
Attention to Detail
Automation
Data Governance