About Publicis Sapient

Most companies in the AI era do one of two things: they advise, or they sell you a tool. We do both. Publicis Sapient is a technology company that provides enterprise AI platforms and services, which means we build our own AI platforms and bring the strategists, product thinkers, designers and engineers who make them work inside the world’s most complex businesses. It’s where people and products shape the future of enterprise, and where your ideas actually reach the organizations that run the world. If you want to question how things are done, learn continuously and do the best work of your career alongside 20,000 people across 28 countries, you’re in the right place. Come build with us.

Our Commitment to Inclusive Hiring

We are committed to fostering and encouraging an inclusive and welcoming environment for everyone, and we believe great talent comes from many different backgrounds, experiences, and perspectives. That’s why we’re committed to creating a hiring process where everyone has an equal opportunity to succeed and feel safe. We welcome applications from all backgrounds and identities including: race, ethnicity, nationality, gender, disability, sexual orientation, gender identity, or religion, and value the diverse experiences, perspectives, and strengths they bring to our teams.

If there’s anything we can do to make our recruitment process more accessible or comfortable for you, please let us know. We’re happy to provide reasonable adjustments throughout the application and interview process. You can contact us anytime at emeahiringteam@publicissapient.com.

Your Safety Matters To Us

At Publicis Sapient, we’re committed to protecting candidates throughout every step of their journey with us. To help you stay safe from recruitment scams, please remember that our recruiters will only ever contact you from a Publicis Sapient email address. In some cases, we may partner with trusted, vetted recruitment agencies who will clearly identify themselves as working on behalf of Publicis Sapient. If you receive communication from any other domain claiming to represent us, please treat it with caution and contact us at emeahiringteam@publicissapient.com.

Why This Role Matters

Publicis Sapient is looking for a Data Scientist to join our team of bright thinkers and doers. You’ll use your problem-solving creativity to figure out our clients’ most complex and challenging problems across different industries. We are on a mission to transform the world, and you will be instrumental in shaping how we do it with your ideas, thoughts, and solutions.

Where You’ll Make an Impact

• Partner with product and business teams to understand challenges, identify opportunities, and frame problems where AI and machine learning can deliver measurable value
• Evaluate and select the most suitable AI approaches, including LLMs, RAG systems, classical ML, or multimodal AI
• Design and build machine learning pipelines, from experimentation and prototyping to production deployment
• Develop, fine-tune, and optimize AI models (including LLMs and generative AI models) while ensuring scalability, performance, and responsible use of AI
• Set up and maintain AI/ML development and production infrastructure, leveraging MLOps best practices (CI/CD, monitoring, observability, model versioning)
• Build robust data ingestion, transformation, and feature engineering pipelines to support high-quality AI applications
• Identify and curate high-value training datasets, leverage transfer learning, and adapt pre-trained models to business-specific contexts
• Create APIs, integrations, and tools that enable stakeholders to operationalize AI insights in real-time environments
• Help stakeholders understand AI outcomes, limitations, and trade-offs, ensuring transparency, interpretability, and alignment with business goals
• Continuously research and recommend emerging AI capabilities (LLMs, multimodal models, autonomous agents) that can improve products or processes

What You’ll Bring to the Team

• Strong experience designing, developing, and deploying AI/ML products or models in production
• Strong programming skills in Python
• Solid experience with data manipulation and ML tooling: NumPy, Pandas, scikit-learn, etc.
• Proven experience building and fine-tuning models with TensorFlow, PyTorch, and Keras
• Hands-on experience with LLMs, RAG systems, and vector databases
• Familiarity with NLP, generative AI, prompt engineering, embeddings, and multimodal architectures
• Strong understanding of data science methodology, applied statistics, ML/DL, and AI evaluation frameworks
• Experience with MLOps and cloud-native development: Docker, Kubernetes, CI/CD, feature stores, and model monitoring
• Practical experience with cloud AI platforms
• Strong algorithmic and problem-solving skills, with the ability to deliver end-to-end solutions under time constraints
• German speaking (C1 at least)
• Consulting background; background in the Energy and Commodities or Financial Services sector is a plus

Additional Experience We Value

• Experience defining AI or data strategies for organizations
• Hands-on experience with modern AI tools (e.g., generative AI, copilots, automation platforms)
• Exposure to data architecture, data engineering, or product development
• Track record of driving AI adoption or innovation initiatives within organizations
• Advanced degree in a relevant field (e.g., data science, engineering, business, or similar)
• Equally comfortable in the boardroom and with a dataset
• A translator between business ambition and technical reality
• Curious, adaptable, and excited about the fast-moving AI landscape
• Motivated to go beyond pure data science into broader problem-solving and innovation

What You’ll Get in Return

• Be at the forefront of digital transformation
• "Plugged” into a truly global organization with a start-up mindset
• Career growth and training opportunities
• A collaborative, agile, and diverse regional team
• Comprehensive health benefits for you and your family
• Generous paid leave and holidays
• Wellness program and employee assistance