< Back

Data Science Researcher

Lightricks Uk

We want to continue our tradition of creating award-winning apps - this time in London! Our new R&D-oriented office will offer the agility and excitement of a startup while at the same time reaping the benefits of an established, successful, and profitable company.


  • An amazing option plan
  • Competitive salary
  • Generous pension
  • Subsidised private healthcare, lunch and gym membership.
  • Refreshments! Fruit, veggies, snacks & of course, lots of coffee!

We’re open to suggestions on perks!


We're looking for a Data Scientist to join our fast-growing team. The ideal candidate will be intricately involved in running analytical experiments in a methodological manner, and will regularly evaluate alternate models via theoretical approaches. This is a great opportunity to become a part of an innovative team that develops methodology and analysis tools that have a great impact on our products and clients.


  • Research and develop Machine Learning (ML) and statistical learning models for data analysis
  • Collaborate with BI and marketing analyst teams
  • Keep up-to-date with the latest technological trends  
  • Communicate results and ideas to key decision makers
  • Implement new statistical or other mathematical methodologies as needed for specific model or analysis


  • Master's Degree in Computer Science, Statistics, Applied Math or related field – mandatory. Ph.D. - advantage.
  • 2+ years practical experience with R/Python/Matlab - mandatory
  • Extensive background in ML, Deep Networks, statistical analysis and data mining - mandatory
  • Great communication skills - mandatory
  • Data-oriented personality and creative thinking  - mandatory
  • Experience with SQL – advantage.


If you believe that you are the right fit and are interested in being a part of our team, email your CV with the job title to jobs@lightricks.com.

Other (CV / Portfolio / Cover Letter)
By clicking "Submit" you agree to our Privacy Policy
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.