Data Scientist

Company Description

Publicis Groupe is not just a company you work for; it’s a platform for you to take your talent to the world.

If you want to help change the world, ideas alone are not enough. Real impact can only come from having meaningful access to a world of knowledge, people and resources. At Publicis Groupe, you are connected to our global network, intelligence, tools, clients, brands and 80,000 brilliant minds with expertise in data, technology, media, strategy, creativity and business transformation, all literally at your fingertips.

Go ahead, the world is waiting.

Publicis Groupe is the third largest communications group in the world. Founded in Paris in 1926, we are present in more than 100 countries as leaders in marketing, communication, and digital business transformation. Two of its biggest solution hubs in Singapore - Publicis Communications and Publicis Media & Digital.

Publicis Communications, the creative communications hub of the Publicis Groupe, is a collective of the most passionate, purposeful, and progressive creative agencies in Singapore. They are Publicis Worldwide, Leo Burnett, Saatchi & Saatchi, Prodigious, and MSL.

Publicis Media & Digital, which is comprised of global media agency brands Starcom, Zenith, Spark Foundry, and Performics, is powered by digital-first, data-driven global practices that together, help our clients navigate the modern media landscape.

Our two other solution hubs, Publicis Sapient and Publicis Commerce, empower businesses to embrace digital transformation and equip them with a total commerce experience.

Overview

Role Summary

As a Data Scientist, you'll build and develop models that drives value to our Groupe solutions including creative, media and production capabilities and solutions by leveraging predictive, generative and agentic models. Work closely with product, strategy and engineering to embed data intelligence into campaign delivery, personalisation and performance measurement while setting modelling standards and data ethics.

Key Responsibilities

• Develop, validate and deploy predictive, generative and optimisation models that drive measurable business outcomes.
• Integrate models into platforms (inference pipelines, APIs, feature stores) with engineering to ensure reliability and scale.
• Design experiments and uplift measurement to quantify impact and optimise campaigns and personalisation.
• Define modelling standards, monitoring, versioning and drift detection; own model performance and retraining strategy.
• Establish data ethics, fairness and privacy guidelines for modelling and deployment.
• Mentor junior team members and contribute to hiring and capability building.
  
  

Qualifications

• 8-10+ years in applied ML/AI or data science with proven experience from developing models to production.
• Strong background in predictive modelling, generative models (LLMs, diffusion, etc.) and optimisation techniques.
• Rigorous statistical skills (experiment design, causal inference, evaluation).
• Practical MLOps/engineering experience (feature engineering, model serving, monitoring).
• Proficient in Python, SQL and ML frameworks; familiar with cloud platforms and containerisation.
• Clear communicator able to partner with cross-functional stakeholders.
• Experience in marketing tech, personalisation, campaign orchestration, identity resolution or related systems is a huge plus.
• Experience working in APAC/SEA or within global, distributed organisations will be an advantage.