Data Science Manager - Lead ML & Impact (Hybrid)

Data Science Manager - Lead ML & Impact (Hybrid)

Full-Time 100000 - 120000 £ / year (est.) No working from home possible
Data Science Festival

At a Glance

  • Tasks: Lead a high-performing Data Science team and drive technical direction.
  • Company: Join Data Science Festival, a leader in the data science community.
  • Benefits: Competitive salary of £100K – £120K plus bonuses and benefits.
  • Other info: Enjoy a hybrid work environment with opportunities for professional growth.
  • Why this job: Make an impact by influencing commercial decisions with advanced analytics.
  • Qualifications: Experience in managing Data Science teams and expertise in machine learning.

The predicted salary is between 100000 - 120000 £ per year.

Data Science Festival is seeking a Data Science Manager in London (Hybrid) to lead a high-performing team. This role involves driving the technical direction and people development while influencing commercial decision-making.

The ideal candidate should have experience in managing Data Science teams and expertise in machine learning and advanced analytics.

The salary is £100K – £120K with bonuses and benefits.

Data Science Manager - Lead ML & Impact (Hybrid) employer: Data Science Festival

Data Science Festival is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. With competitive salaries, bonuses, and a strong focus on employee development, we empower our team members to grow their skills in machine learning and advanced analytics while making impactful contributions to commercial decision-making. Join us for a rewarding career where your expertise will be valued and your professional growth supported.

Data Science Festival

Contact Details:

Data Science Festival Recruitment Team

We think you need these skills to ace Data Science Manager - Lead ML & Impact (Hybrid)

Team Management
Machine Learning
Advanced Analytics
Technical Direction
People Development
Commercial Decision-Making
Data Science Expertise