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# Data Scientist - Manager

- **Company:** Publicis Groupe
- **Location:** Berlin, Germany
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, Computer Programming, Continuous Integration, Data Architecture, Information Engineering, Monitoring of Systems, Python (Programming Language), Automation of Marketing, Natural Language Processing, NumPy, Tensorflow, Software Deployment, Data Processing, Feature Engineering, Data Ingestion, Pytorch, Transfer Learning, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Keras, Data Strategy, Pandas, Build Management, AI Platforms, Scikit Learn, Kubernetes, Pure Data, Machine Learning Operations, Software Version Control, Docker
- **Published:** August 19, 2026
- **Apply:** https://www.adzuna.de/details/5846135015

## About the Role

? 5+ years of 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, 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, 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, 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)
**What We?re Looking For**
We?re looking for someone who is:
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

## Description

? 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


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