Hybrid Lead Data Scientist β€” End-to-End ML in Finance in Manchester

Hybrid Lead Data Scientist β€” End-to-End ML in Finance in Manchester

Manchester Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Manchester Digital

At a Glance

  • Tasks: Lead end-to-end machine learning projects in a dynamic financial setting.
  • Company: Manchester Digital, a forward-thinking company in the finance sector.
  • Benefits: Hybrid working, competitive salary, and extra paid leave.
  • Other info: Join a collaborative team with opportunities for professional growth.
  • Why this job: Make a real impact by driving innovative ML solutions in finance.
  • Qualifications: Proven experience in data science and machine learning.

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

Manchester Digital is seeking an experienced Lead Data Scientist in Manchester to drive end-to-end machine learning delivery in a regulated financial environment. This hands-on role involves technical ownership and deployment of production-grade models. The successful candidate will own the full ML lifecycle, partner with cross-functional teams, and establish robust monitoring frameworks.

A competitive package including hybrid working and additional paid leave is offered.

Hybrid Lead Data Scientist β€” End-to-End ML in Finance in Manchester employer: Manchester Digital

Manchester Digital is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Manchester. With a strong focus on employee growth, we provide ample opportunities for professional development and a competitive benefits package, including hybrid working arrangements and additional paid leave, making it an ideal place for those looking to make a meaningful impact in the finance sector.

Manchester Digital

Contact Details:

Manchester Digital Recruitment Team

We think you need these skills to ace Hybrid Lead Data Scientist β€” End-to-End ML in Finance in Manchester

Machine Learning
Model Deployment
Production-Grade Models
ML Lifecycle Management
Cross-Functional Collaboration
Monitoring Frameworks
Data Science