Data Science Lead: Causal Inference & Impact

Data Science Lead: Causal Inference & Impact

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

At a Glance

  • Tasks: Transform complex data into actionable insights and drive real-world business impact.
  • Company: Join Digitas, a forward-thinking company in London that values collaboration and innovation.
  • Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
  • Other info: Be part of a dynamic team where your ideas can thrive and grow.
  • Why this job: Shape the future of analytics and make a tangible difference in business outcomes.
  • Qualifications: Experience in data science, causal inference, and strong analytical skills.

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

Digitas in London is seeking a Data Science Lead to turn complex data into meaningful business impact.

You will work at the intersection of analytics, experimentation and innovation—shaping how we design, measure and optimise real-world outcomes.

You’ll join a collaborative environment where ideas are valued, and curiosity is encouraged.

Collaborating with product, marketing and consulting teams, you will develop rigorous causal inference studies, quantify uncertainty, and translate business #J-18808-Ljbffr

UNAVAILABLE

Contact Details:

UNAVAILABLE Recruitment Team

We think you need these skills to ace Data Science Lead: Causal Inference & Impact

Causal Inference
Data Analysis
Experimentation
Business Impact Measurement
Collaboration
Quantitative Research
Uncertainty Quantification