Data Science Lead: Causal Insights & Impact in London

Data Science Lead: Causal Insights & Impact in London

London Full-Time 60000 - 80000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead data science projects to turn complex data into impactful insights for clients.
  • Company: Join Digitas, a forward-thinking part of Publicis Groupe.
  • Benefits: Enjoy competitive pay, flexible work options, and opportunities for growth.
  • Other info: Be part of a dynamic environment that values curiosity and creativity.
  • Why this job: Shape the future of data science and drive meaningful change in a collaborative team.
  • Qualifications: Experience in data science, analytics, and a passion for innovation.

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

Digitas, part of Publicis Groupe, is hiring a Data Science Lead to shape how we turn complex data into meaningful impact for clients and teams. You’ll work at the intersection of analytics, experimentation and innovation—bringing clarity to challenging questions and driving confident decisions.

You’ll join a collaborative environment where ideas are valued and curiosity is encouraged, with responsibilities spanning design of causal studies, uncertainty estimation, and translating insights into actionable strategies.

Data Science Lead: Causal Insights & Impact in London employer: Publicis Groupe ANZ

Publicis Groupe ANZ is an exceptional employer, offering a vibrant work culture that fosters creativity and collaboration in the heart of Great Britain. Employees benefit from comprehensive growth opportunities, including professional development programmes and mentorship, ensuring that your career flourishes while you contribute to innovative influencer campaigns that make a real impact. Join us to be part of a forward-thinking team that values your contributions and supports your journey towards success.

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Contact Details:

Publicis Groupe ANZ Recruitment Team

We think you need these skills to ace Data Science Lead: Causal Insights & Impact in London

Data Analysis
Causal Inference
Experimental Design
Uncertainty Estimation
Statistical Modelling
Communication Skills
Collaboration