Hybrid Data Scientist β€” Leeds (Cloud ML & Impact)

Hybrid Data Scientist β€” Leeds (Cloud ML & Impact)

Full-Time 35000 - 45000 Β£ / year (est.) No working from home possible
Brio Digital

At a Glance

  • Tasks: Transform messy data into actionable insights using statistical and ML models.
  • Company: Brio Digital, a forward-thinking company in Leeds with a supportive culture.
  • Benefits: Hybrid work model, ownership of projects, and a data-first environment.
  • Other info: Great opportunity for career growth in a dynamic team.
  • Why this job: Make a real impact on business outcomes while working with cutting-edge technology.
  • Qualifications: Experience in Python, SQL, and cloud data warehousing is essential.

The predicted salary is between 35000 - 45000 Β£ per year.

Brio Digital in Leeds (Hybrid) is seeking a Data Scientist to turn messy, high-volume data into actionable insights for the core platform. You'll design and deploy statistical and ML models, write clean Python and SQL, and work with cloud data warehousing tools to handle large datasets, delivering measurable impact across pricing, loyalty and customer behaviour.

This mid-level role offers ownership, direct visibility to business outcomes, and a supportive, data-first culture.

Hybrid Data Scientist β€” Leeds (Cloud ML & Impact) employer: Brio Digital

Brio Digital is an exceptional employer for aspiring Trainee Delivery Consultants, offering a dynamic work culture that fosters ambition and results-driven performance. With structured training, clear progression paths, and the opportunity to earn uncapped commission, employees are supported in their growth while working in a collaborative Chester office environment. This role not only provides valuable experience in tech recruitment but also allows you to build meaningful relationships in a high-demand market.

Brio Digital

Contact Details:

Brio Digital Recruitment Team

We think you need these skills to ace Hybrid Data Scientist β€” Leeds (Cloud ML & Impact)

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