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PS AI Labs - A Publicis Sapient and Elder Research data science venture

Publicis Sapient + Elder Research

With the enormous opportunity to help our clients change the way they interact and understand their customers, Publicis Sapient, a digital business transformation partner, has teamed up with Elder Research, a data science consultancy, to create PS AI Labs. The joint venture fuses Publicis Sapient’s 30 years of global delivery and experience capabilities with Elder Research’s 25 years of expertise in the multidisciplinary field of data science.

By 2021, 80 percent of emerging technologies will have AI foundations. (Source: Gartner)
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Our ambition is to create an environment where data scientists and artificial-intelligence experts can tackle some of today’s most complex, strategic operational challenges. This new venture will deliver predictive analytics solutions to leading businesses. It’s an opportunity to design, build and implement practical, end-to-end platforms that help the world’s most recognized brands to make smarter decisions and provide more valuable services to their customers.

With mentorship from both companies and the agility of a startup, we’re building something from the ground up with deep resources, alongside a team of the world’s premier talent in data science.

World-class brands, real-world impact
We grade ourselves solely on the value we bring to our clients.

Our talented data and decision scientists thrive in a continuous-learning culture. You will team up with other gifted professionals on a variety of emerging AI projects. Our rigorous process includes intensive training curricula and ongoing peer review to ensure our methodology is scientifically sound.

You will have the opportunity to capitalize on the latest technologies to create real business impact for our clients. This is a chance to take part in artificial intelligence solutions for some of the biggest Fortune 1000 companies – affecting five billion people in the next decade alone.

PS AI Labs data scientists will leverage, support and help fuel the intellectual property of advanced AI applications and technologies created by Publicis Sapient and Elder Research such as the Applied Innovation Platform, Glyphic, KaaS™, the Machine Learning Platform, and NUI™.

Our alliance partners

You’ll work in collaboration with our alliance partners such as Google, AWS and Microsoft, leveraging their AI and machine learning technologies to develop additional solutions and platforms.

  • Google
  • AWS
  • Microsoft
  • IBM

Why join PS AI Labs?

There’s no better time for data and decision scientists to tackle the most challenging problems facing our clients. Joining PS AI Labs will expose you to a variety of the most complex issues in data science, across various industries: financial services, travel & hospitality, energy & commodities, retail, media and healthcare.

A continuous learning culture

We want you to stay abreast the field’s latest developments, reading academic journals, attending conferences and asking how the insights apply to your work. You’ll have dedicated time to focus on learning and growing as a practitioner. If you love data science, you’ll never be bored! There’s always an exciting challenge.

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Do what you love

You’ll have the opportunity to focus on what you do best–data science. You will have access to diverse, multidisciplinary teams working in a collegial environment to deliver solutions to the problems you’re tackling.

True to our principles

We value humility, curiosity, resourcefulness and imagination. A commitment to lifetime learning is in our DNA.

Access to the latest technologies

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The data models and prototypes you create will address various issues and concerns, including customer intelligence, operational efficiency, business insights, supply chain optimization and compliance.

With access to one the world’s largest collections of data, collected from our sister companies, we build and adopt state-of-the-art machine learning models to produce a variety of solutions, including predictive analytics, recommendation & personalization, anomaly detection, natural language processing, computer vision and simulation-based optimization.

Our data scientists develop these solutions with our deep knowledge of key technologies: machine learning frameworks (Keras & Tensorflow, PyTorch, Scikit-learn), programming languages (Python, R, Julia) and industry platforms (GCP, Azure, AWS, Watson, Dataiku, Domino Datalabs, Anaconda, H2O.ai, etc.)