Data Scientist – Data & Analytics Products

Data Scientist – Data & Analytics Products

Full-Time 50000 - 70000 £ / year (est.) No working from home possible
Experian Health

At a Glance

  • Tasks: Analyse data to drive insights and support innovative analytics products.
  • Company: Join a globally recognised leader in data solutions with a focus on diversity and inclusion.
  • Benefits: Enjoy work/life balance, wellness programmes, and opportunities for personal development.
  • Other info: Work in an award-winning environment that champions innovation and career growth.
  • Why this job: Be part of a team that values authenticity and collaboration while making a real impact.
  • Qualifications: Experience in data analysis and a passion for problem-solving.

The predicted salary is between 50000 - 70000 £ per year.

Experian is proud to be an Equal Opportunity and affirmative action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Data Scientist – Data & Analytics Products employer: Experian Health

Experian is an exceptional employer that prioritises work/life balance, employee wellness, and authentic collaboration, making it a top choice for Data Scientists in the Data & Analytics Products sector. With accolades such as World's Best Workplaces™ 2024 and Great Place To Work™ recognition across 24 countries, Experian fosters a culture of innovation and inclusivity, offering ample opportunities for professional development and personal growth in a supportive environment.

Experian Health

Contact Details:

Experian Health Recruitment Team

We think you need these skills to ace Data Scientist – Data & Analytics Products

Data Analysis
Collaboration
Innovation
Problem-Solving Skills
Adaptability
Communication Skills
Technical Aptitude