Lead Data Science Engineer: ML, Azure & Analytics in Warrington

Lead Data Science Engineer: ML, Azure & Analytics in Warrington

Warrington Full-Time 60000 - 75000 Β£ / year (est.) No working from home possible
United Utilities

At a Glance

  • Tasks: Lead advanced analytics initiatives and design machine learning models.
  • Company: Join United Utilities, a leader in data science innovation.
  • Benefits: Enjoy 26 days annual leave, a generous pension, and healthcare benefits.
  • Other info: Collaborative environment with opportunities for professional growth.
  • Why this job: Shape the future of data science while working in a hybrid model.
  • Qualifications: Experience in data science and machine learning required.

The predicted salary is between 60000 - 75000 Β£ per year.

United Utilities in Warrington is seeking a Senior Data Scientist to lead advanced analytics initiatives. This role involves designing and deploying machine learning models, engineering complex data sets, and collaborating with various teams. The position offers a hybrid work model, allowing for 3 days onsite.

With a competitive salary, you will enjoy 26 days annual leave, a generous pension scheme, and healthcare benefits. Join us to shape the future of data science at United Utilities.

Lead Data Science Engineer: ML, Azure & Analytics in Warrington employer: United Utilities

United Utilities is an exceptional employer that fosters a collaborative and innovative work culture, particularly for those in the Lead Data Science Engineer role. With a hybrid work model, competitive salary, and generous benefits including 26 days of annual leave and a robust pension scheme, employees are empowered to grow and thrive while making a meaningful impact in the field of data science.

United Utilities

Contact Details:

United Utilities Recruitment Team

We think you need these skills to ace Lead Data Science Engineer: ML, Azure & Analytics in Warrington

Machine Learning
Data Engineering
Advanced Analytics
Model Deployment
Collaboration
Azure
Data Set Management