Senior Manager Data Scientist - Energy & Commodities

About the Role

Join Publicis Sapient as a Senior Specialist Data Scientist, where you'll harness your analytical creativity to tackle our clients' toughest and most intricate challenges across various sectors. Your contributions will be central to our mission of reshaping the future with innovative ideas and solutions.

Responsibilities

• Collaborate closely with product and business teams to grasp challenges, spot opportunities, and define problems where AI and machine learning deliver tangible value.
• Assess and choose the best AI methodologies, including large language models (LLMs), retrieval-augmented generation (RAG) frameworks, traditional machine learning, or multimodal AI systems.
• Architect and implement machine learning workflows, covering experimentation, prototyping, and deployment to production environments.
• Design, refine, and enhance AI models—especially LLMs and generative AI—balancing performance, scalability, and responsible AI practices.
• Establish and manage AI/ML development and deployment infrastructure, employing MLOps best practices such as continuous integration/continuous deployment (CI/CD), monitoring, observability, and model versioning.
• Develop robust data pipelines for ingestion, transformation, and feature engineering to support high-quality AI solutions.
• Identify high-impact training datasets, utilize transfer learning, and customize pre-trained models to fit specific business contexts.
• Create APIs, integrations, and tools enabling stakeholders to operationalize AI insights in real-time applications.
• Educate stakeholders on AI results, limitations, and trade-offs, ensuring clarity, transparency, and alignment with business objectives.
• Continuously investigate and advocate for emerging AI innovations such as advanced LLMs, multimodal models, and autonomous agents to enhance products or processes.

Qualifications

• Proven experience designing, developing, and deploying AI/ML products or models in production environments.
• Strong programming expertise in Python.
• Solid knowledge of data handling and machine learning libraries including NumPy, Pandas, and scikit-learn.
• Hands-on experience building and fine-tuning models with frameworks like TensorFlow, PyTorch, and Keras.
• Practical experience working with large language models (LLMs), retrieval-augmented generation (RAG) systems, and vector databases.
• Familiarity with natural language processing (NLP), generative AI, prompt engineering, embedding techniques, and multimodal architecture designs.
• Deep understanding of data science methodologies, applied statistics, machine learning/deep learning, and AI evaluation frameworks.
• MLOps and cloud-native development familiarity, including Docker, Kubernetes, CI/CD pipelines, feature stores, and model performance monitoring.
• Experience using cloud AI platforms.
• Strong problem-solving and algorithmic skills capable of delivering end-to-end solutions within tight timelines.
• Fluency in German language at least at a C1 proficiency level.
• Consulting background; prior exposure to Energy & Commodities or Financial Services sectors is advantageous.

Additional Information

• Experience defining AI or data strategies within organizations is highly valued.
• Hands-on use of contemporary AI tools such as generative AI, copilot systems, and automation platforms.
• Exposure to data architecture, engineering, or product development disciplines.
• A history of driving AI adoption or innovation initiatives throughout organizations.
• Advanced degrees in related disciplines such as data science, engineering, business, or equivalent fields.

Ideal Candidate Profile

• Comfortable engaging in discussions at executive levels and diving deep into datasets.
• Adept at bridging ambitions of the business with technical realities.
• Curious, adaptable, and enthusiastic about fast-evolving AI technologies.
• Driven to extend their impact beyond data science into wider problem-solving and innovative practices.

About Publicis Sapient

We are a digital transformation partner devoted to helping established organizations achieve future-ready states with modernized operations and customer engagement. Leveraging a start-up mindset infused with strategy, consulting, customer experience, and agile engineering, our 20,000+ professionals across 53 global offices combine expertise in technology and data sciences to accelerate client success through products and services that customers truly value.