Graduate Data Scientist β€” Build AI-Powered Data Tools in Cambridge

Graduate Data Scientist β€” Build AI-Powered Data Tools in Cambridge

Cambridge Full-Time 85797 - 250512 Β£ / year (est.) No working from home possible
Bending Spoons

At a Glance

  • Tasks: Design and improve data pipelines while developing internal data products for decision-making.
  • Company: Bending Spoons is a forward-thinking company based in Cambridge, focused on AI-powered data tools.
  • Benefits: Enjoy competitive pay, flexible hours, remote working options, and health insurance.
  • Other info: The role offers professional growth opportunities within a collaborative environment.
  • Why this job: Join a dynamic team dedicated to innovation in data science and AI technology.
  • Qualifications: Candidates should have a strong background in data science and experience with data pipelines.

The predicted salary is between 85797 - 250512 Β£ per year.

Bending Spoons is looking for a talented individual to join their team in Cambridge. This role involves designing and improving data pipelines, ensuring data correctness, and developing internal data products to support decision-making processes across various teams.

With competitive pay ranging from Β£85,797 to Β£250,512 in London, the position also offers professional growth opportunities and a comprehensive benefits package including flexible hours, remote working options, and health insurance.

Graduate Data Scientist β€” Build AI-Powered Data Tools in Cambridge employer: Bending Spoons

Bending Spoons, located in Cambridge, provides a comprehensive benefits package including health insurance and flexible working hours. The team is committed to developing cutting-edge AI-powered data tools that enhance decision-making across various sectors.

Bending Spoons

Contact Details:

Bending Spoons Recruitment Team

We think you need these skills to ace Graduate Data Scientist β€” Build AI-Powered Data Tools in Cambridge

Python
Problem-Solving Skills
SQL
Communication Skills
Automation
Data Engineering
Data Pipeline Development