Research Scientist, Statistics & ML – NeST Project

Research Scientist, Statistics & ML – NeST Project

Full-Time 43277 - 51714 Β£ / year (est.) No working from home possible
Statistics Interest Group

At a Glance

  • Tasks: Advance statistical and machine learning research through independent and collaborative studies.
  • Company: Join the prestigious Department of Statistics at the London School of Economics.
  • Benefits: Competitive salary, generous pension, hybrid working, and strong training opportunities.
  • Other info: Exciting opportunity for career growth in a dynamic academic setting.
  • Why this job: Make a real impact in cutting-edge research while enjoying a flexible work environment.
  • Qualifications: Experience in statistics and machine learning, with a passion for research.

The predicted salary is between 43277 - 51714 Β£ per year.

The Department of Statistics at the London School of Economics invites applications for a Research Officer (Ne ST project).

The role focuses on advancing statistical and machine learning research, conducting independent and collaborative studies, and contributing to grant proposals.

We offer hybrid working, a London-based post with a competitive salary (Β£43,277–£51,714, with potential to Β£55,497 with London allowance), a generous pension, and strong training opportunities.

#J-18808-Ljbffr

Research Scientist, Statistics & ML – NeST Project employer: Statistics Interest Group

The London School of Economics is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration in the field of statistics and machine learning. With competitive salaries, generous pension schemes, and robust training opportunities, employees are encouraged to grow and excel in their careers while enjoying the vibrant culture of London.

Statistics Interest Group

Contact Details:

Statistics Interest Group Recruitment Team

We think you need these skills to ace Research Scientist, Statistics & ML – NeST Project

Communication Skills
Problem-Solving Skills
Attention to Detail
SQL
Python
Analytical Skills
Adaptability