Senior Data Scientist for AI Scale-Up (Hybrid London)

Senior Data Scientist for AI Scale-Up (Hybrid London)

London Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Nicholson Glover

At a Glance

  • Tasks: Build AI agents and create scalable solutions for real-world business challenges.
  • Company: Nicholson Glover, a leading AI scale-up in London.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Collaborate with top-tier clients and enjoy a flexible work environment.
  • Why this job: Join a dynamic team and make a tangible impact with cutting-edge AI technology.
  • Qualifications: Experience in data science and a passion for AI innovation.

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

Nicholson Glover is seeking a Data Scientist or Senior Data Scientist in London, offering a hybrid role with one day in the office.

The position focuses on building AI agents and delivering real-world impact using cutting-edge AI tools.

You’ll translate complex business problems into scalable AI solutions, collaborating with top-tier clients across sectors to drive performance and efficiency.

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Senior Data Scientist for AI Scale-Up (Hybrid London) employer: Nicholson Glover

Join a dynamic and innovative data strategy consultancy in London, where you will play a pivotal role in shaping the operational backbone of a high-value growth team. With a strong focus on employee development, a supportive hybrid work culture, and no sales pressure, this is an exceptional opportunity to contribute to pioneering projects while receiving direct mentorship from senior leadership. Enjoy competitive compensation, performance bonuses, and the chance to build something meaningful from the ground up in a collaborative environment.

Nicholson Glover

Contact Details:

Nicholson Glover Recruitment Team

We think you need these skills to ace Senior Data Scientist for AI Scale-Up (Hybrid London)

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