Senior Data Scientist β€” Production ML & LLM (Hybrid) in London

Senior Data Scientist β€” Production ML & LLM (Hybrid) in London

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

At a Glance

  • Tasks: Lead and scale data science projects, shipping models into production for learner assessments.
  • Company: Pearson, a leading education company with a focus on innovation.
  • Benefits: Hybrid work model, competitive salary, and opportunities for mentorship and growth.
  • Other info: Join a dynamic team in Central London with excellent career advancement opportunities.
  • Why this job: Make a real impact in education by leveraging your data science skills.
  • Qualifications: Experience in Python, AWS, and mentoring teammates in data science.

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

Pearson in London is seeking a senior data scientist to stand up and scale a shared DS capability, leading end-to-end DS/ML projects and shipping models into production across learner assessments.

The role focuses on Python and AWS, with optional Azure/GCP; you’ll mentor teammates, shape standards, and balance quick wins with robust engineering.

Hybrid work 1-2 days in Central London.

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Senior Data Scientist β€” Production ML & LLM (Hybrid) in London employer: Pearson

Pearson is an excellent employer that values flexibility and a supportive work culture, making it an ideal place for those seeking part-time opportunities in Birmingham. With a commitment to employee growth, Pearson offers training and development resources, ensuring that staff can enhance their skills while contributing to a meaningful mission of education and assessment. The friendly atmosphere and focus on compliance create a rewarding environment for Test Centre Administrators who enjoy helping candidates succeed.

Pearson

Contact Details:

Pearson Recruitment Team

We think you need these skills to ace Senior Data Scientist β€” Production ML & LLM (Hybrid) in London

Python
AWS
Azure
GCP
Machine Learning
Data Science
Model Deployment