Data Scientist

At Digitas, we harness the power of connection to make a positive impact every day. We have a relentless focus on creating connections to help our clients' businesses grow, connecting diverse people, ideas and expertise in innovative and exciting ways. We are making a positive impact with our amazing clients through our capabilities in Consulting, Products & Platforms, Customer Engagement and Digital Media.

We are hiring a Data Science Lead to help shape how we turn complex data into meaningful impact for our clients and teams. At Digitas, you'll work at the intersection of analytics, experimentation and innovation—bringing clarity to challenging questions and driving confident decisions. This is a role where your expertise will directly influence how we design, measure and optimise real-world outcomes. You'll join a collaborative environment where ideas are valued, and curiosity is encouraged.

Responsibilities

• Design and deliver rigorous causal inference studies, including natural and quasi-experiments that inform business decisions.
• Build and apply frameworks that quantify uncertainty in predictive models, enabling confident decision-making.
• Identify, assess and manage confounding variables in observational datasets.
• Develop robust statistical approaches to estimate causal impact across a range of client challenges.
• Translate business questions into structured experimental designs and analytical approaches.
• Partner with cross-functional teams to embed data science into product, marketing and consulting initiatives.
• Communicate findings clearly, turning complex analysis into actionable insights for technical and non-technical audiences.

Qualifications

• Strong grounding in statistics and quantitative methods, supported by relevant academic or professional experience.
• Hands-on experience applying experimental design and causal inference techniques to real-world data.
• Understanding of modern approaches to uncertainty estimation in machine learning (e.g. conformal prediction).
• Proficiency in Python, R, or similar programming languages used for data analysis.
• Familiarity with causal frameworks such as potential outcomes or causal graphs.
• Working knowledge of machine learning and how it integrates with causal reasoning.
• Clear and confident communicator, able to explain complex ideas in a simple and engaging way.

Digitas offers a wide range of benefits to support our employees. Full details are shared when you join, but highlights include core benefits such as Pension, Life Assurance, and Private Medical cover, alongside enhanced policies like Reflection Days and Shared Parental Leave. You'll also have access to a range of additional initiatives.

Publicis Groupe works primarily from the office or our clients' office four days per week. We are committed to providing a fair, accessible, and inclusive recruitment process. If you have any access needs – for example, related to disability, neurodivergence, or a health condition – please let us know. We'll work with you to ensure the process works for you. Sharing this information will never impact your application.