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Data Scientist - Manager - Energy & Commodities

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What you’ll work on

Full posting
  • Frame business problems where AI and machine learning can deliver measurable value

  • Design and build machine learning pipelines from prototyping to production

  • Develop, fine-tune and optimize AI models, including LLMs and generative models

  • Set up and maintain AI/ML infrastructure with MLOps best practices

  • Create APIs and integrations so stakeholders can use AI insights in real time

From the employer’s posting
Partner with product and business teams to understand challenges, identify opportunities, and frame problems where AI and machine learning can deliver measurable value
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)
Set up and maintain AI/ML development and production infrastructure, leveraging MLOps best practices (CI/CD, monitoring, observability, model versioning)
Create APIs, integrations, and tools that enable stakeholders to operationalize AI insights in real-time environments

What you’ll bring

All qualifications

Core experience

  • Strong experience deploying AI/ML models or products in production
  • Strong Python programming skills
  • Hands-on experience with LLMs, RAG systems and vector databases
  • Proven experience with TensorFlow, PyTorch and Keras
  • German speaking, at least C1
Qualification wording
Strong experience designing, developing, and deploying AI/ML products or models in production
Strong programming skills in Python
Hands-on experience with LLMs, RAG systems, and vector databases
Proven experience building and fine-tuning models with TensorFlow, PyTorch, and Keras
German speaking (C1 at least)
Apply at publicisgroupe

Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 5, 20261 day ago
Recorded sightings
1

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How this job compares

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From 10,380 similar postings that came down. Coming down is not always a hire.

publicisgroupe is hiring

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Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • Docker
  • Kubernetes
  • Keras
  • NumPy
  • pandas
  • PyTorch
  • scikit-learn
  • TensorFlow
Where the posting names them
Qualifications 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

Your next step

Complete your application on sapient-publicisgroupe.icims.com. The employer’s form will show what is required.

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Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 1,411, the most 2,973, and the latest week had 1,818.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

Company description 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. Overview 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 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 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 information 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
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Berlin, DE

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