Senior Data Scientist, Digital Twins | Hybrid + Benefits in Reading

Senior Data Scientist, Digital Twins | Hybrid + Benefits in Reading

Reading Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Kantar Group

At a Glance

  • Tasks: Enhance high-volume data systems using advanced modelling and analytics.
  • Company: Join Kantar Group, a leader in data science and analytics.
  • Benefits: Enjoy flexible hybrid working, competitive salary, bonuses, and healthcare options.
  • Other info: Collaborate with engineers for successful production outcomes.
  • Why this job: Make an impact by developing machine-learning models in a dynamic environment.
  • Qualifications: Experience in data science and strong analytical skills.

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

Kantar Group is looking for a Senior Data Scientist based in Reading. You will apply advanced modeling and analytics to enhance the performance of high-volume data systems. The role involves developing machine-learning models, working across the data science lifecycle, and collaborating with engineers to ensure production success.

Benefits include:

  • Flexible hybrid working
  • Competitive salary with a bonus
  • Various healthcare options

Senior Data Scientist, Digital Twins | Hybrid + Benefits in Reading employer: Kantar Group

Kantar Group is an exceptional employer that fosters a dynamic and inclusive work culture, offering flexible hybrid working arrangements to support a healthy work-life balance. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to collaborate with talented professionals in the field of data science, all while enjoying competitive salaries and comprehensive healthcare benefits in the vibrant city of Reading.

Kantar Group

Contact Details:

Kantar Group Recruitment Team

We think you need these skills to ace Senior Data Scientist, Digital Twins | Hybrid + Benefits in Reading

Advanced Modelling
Analytics
Machine Learning
Data Science Lifecycle
Collaboration
High-Volume Data Systems
Production Success