Data Scientist - Senior Manager - Energy & Commodities

Publicis Groupe ANZ; Berlin; Vor Ort; EUR 90.000 - 120.000; Vollzeit

Zusammenfassung

Publicis Sapient in Berlin seeks a Senior Specialist Data Science to tackle complex AI challenges across industries. You will design and deploy AI/ML products, build pipelines, and work with stakeholders to deliver measurable value.

Ideal candidates have strong Python skills, experience with ML frameworks, MLOps, and German language proficiency (C1). You will operate in a fast-moving consulting environment, shaping data-driven solutions for clients.

Qualifikationen

• Experience designing, developing, and deploying AI/ML products in production.
• Strong programming skills in Python.
• Solid experience with data manipulation and ML tooling: NumPy, Pandas, scikit-learn.
• 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, statistics, ML/DL, and 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 end-to-end delivery ability.
• German speaking (C1 at least).
• Consulting background; Energy/commodities or financial services experience is a plus.

Aufgaben

• Partner with product and business teams to frame problems where AI can deliver value.
• Evaluate and select AI approaches including LLMs, RAG, and multimodal AI.
• Design and build ML pipelines from prototyping to production deployment.
• Develop, fine-tune, and optimize AI models with scalability and responsible use.
• Set up and maintain AI/ML development and production infra leveraging MLOps.
• Build data ingestion, transformation, and feature engineering pipelines.
• Curate training data, leverage transfer learning, adapt models to contexts.
• Create APIs and tools to operationalize AI insights in real-time environments.
• Explain AI outcomes, limitations, and trade-offs to stakeholders.
• Research emerging AI capabilities to improve products and processes.

Kenntnisse

Python programming

NumPy & Pandas

ML frameworks (TensorFlow, PyTorch, K

LLMs & RAG systems

NLP & prompt engineering

MLOps & CI/CD

Cloud AI platforms

Docker

Kubernetes

German language (C1)

Consulting background

Ausbildung

Advanced degree in data science, engineering, or related

Tools

Docker

Kubernetes

CI/CD

Feature stores

Model monitoring

Jobbeschreibung

Company description

Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of the next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting, and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.

Overview

Publicis Sapient is looking for a Senior Specialist Data Science to join our team of bright thinkers and doers.You’ll use your problem-solving creativity to figure out our client’s 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

Qualifications

Responsibilities

• 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

Qualifications

• 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, 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

Additional information

Set Yourself Apart With

• Experience definingAI or data strategiesfor organizations

• Hands-on experience withmodern AI tools (e.g., generative AI, copilots, automation platforms)

• Exposure todata architecture, data engineering, or product development

• Track record of drivingAI adoption or innovation initiativeswithin 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

• Atranslator between business ambition and technical reality

• Curious, adaptable, and excited about the fast-moving AI landscape

• Motivated to go beyond pure data science intobroader problem-solving and innovation