Hiring: Strategic Data Scientist, Media AI & Measurement

Hiring: Strategic Data Scientist, Media AI & Measurement

Full-Time 56250 - 68750 £ / year (est.) No working from home possible
Nabla

At a Glance

  • Tasks: Shape impactful Data Science concepts and influence strategic direction across teams.
  • Company: Join NielsenIQ, a leader in media measurement and audience activation.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and client success.
  • Why this job: Make a real difference in the media landscape with your data expertise.
  • Qualifications: Experience in data science and strong strategic thinking skills.

The predicted salary is between 56250 - 68750 £ per year.

NielsenIQ is seeking a Principal Data Scientist to shape high‑impact, client‑relevant Data Science concepts and ensure strategic coherence across teams and domains. The role emphasizes conceptual work, influencing direction, and scaling value across Media Measurement, Audience Activation, and Performance. You will contribute to client pitches, tenders, and strategic roadmaps while ensuring concepts remain aligned with currency principles and market needs.

Hiring: Strategic Data Scientist, Media AI & Measurement employer: Nabla

Nabla is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for aspiring analysts. With a focus on employee growth, the Junior Insight Analyst role offers not only flexible working arrangements but also ample opportunities for professional development in the vibrant city of Oxford. Join us to make a meaningful impact while advancing your career in a supportive environment.

Nabla

Contact Details:

Nabla Recruitment Team

We think you need these skills to ace Hiring: Strategic Data Scientist, Media AI & Measurement

Data Science Concepts
Strategic Coherence
Client Engagement
Influencing Skills
Media Measurement
Audience Activation
Performance Analysis