Data Science Lead: Causal Insights & Experiments

Data Science Lead: Causal Insights & Experiments

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Digitas UK

At a Glance

  • Tasks: Lead data science projects to transform complex data into actionable insights.
  • Company: Join Digitas, a forward-thinking agency in London with a focus on innovation.
  • Benefits: Enjoy a competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Be part of a dynamic team that values creativity and innovation.
  • Why this job: Make a real impact by guiding decisions with data-driven evidence in a collaborative setting.
  • Qualifications: Proven experience in data science, analytics, and strong problem-solving skills.

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

Digitas in London is seeking 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, turning questions into measured outcomes and guiding decisions with robust evidence.

You’ll join a collaborative environment where your expertise informs design, measurement and optimization across marketing, product and consulting initiatives.

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Data Science Lead: Causal Insights & Experiments employer: Digitas UK

At Digitas, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. As part of the renowned Publicis Groupe, we offer exceptional growth opportunities in the fast-paced world of digital marketing, particularly for our Data Management Executives working with prestigious global clients. With a comprehensive benefits package that includes Pension, Life Assurance, and innovative policies like Reflection Days, we ensure our team members feel valued and supported in their professional journey.

Digitas UK

Contact Details:

Digitas UK Recruitment Team

We think you need these skills to ace Data Science Lead: Causal Insights & Experiments

Data Analysis
Causal Inference
Experimental Design
Analytics
Statistical Modelling
Communication Skills
Collaboration