Job Description
Intro
As a Data & AI Consultant, you will be deployed directly inside customer environments to tackle their most difficult data challenges: fragmented supply chain records, poor supplier data coverage, mismatched ERP structures, and unreliable emissions factors. You will design and implement AI-powered pipelines on carbmee EIS™ that transform raw operational data into actionable environmental intelligence - and you will own the quality of what you deliver.
Your tasks
- Own end-to-end data and AI workstreams within enterprise customer deployments - from data discovery and architecture design through to live, production-grade pipelines on carbmee EIS™.
- Engage directly with customer data, IT, and sustainability teams to understand their data environments, ERP structures, and emissions reporting needs, and design scalable integration and modelling solutions.
- Build and deploy AI-powered pipelines for supplier emissions data collection, product carbon footprint calculation, spend-based estimation, and Scope 3 data quality improvement.
- Develop and fine-tune machine learning models and LLM-based workflows to enhance emissions data coverage, accuracy, and inference at scale.
- Integrate carbmee EIS™ with ERP systems (especially SAP), procurement platforms, and third-party data sources via APIs, data pipelines, and custom scripts (Python, SQL).
- Transform and prepare complex, messy enterprise datasets for integration, ensuring consistency and alignment with carbmee's data model.
- Translate complex model outputs and data analyses into clear, executive-ready insights that drive decarbonization decisions.
- Feed data and AI learnings back to carbmee's product engineering team to continuously improve the intelligence capabilities of the EIS™ platform.
Customer Value - As a Data & AI Consultant, your work directly determines how accurately and quickly customers can see, understand, and act on their emissions data. You will:
- Accelerate customers' time-to-insight by turning fragmented, siloed enterprise data into a clean, reliable foundation for carbon accounting.
- Expand emissions data coverage by using AI and machine learning to fill supplier data gaps, improve estimation quality, and surface signals that manual processes miss entirely.
- Enable data-driven decarbonization by connecting the right datasets - procurement, logistics, production - into the actionable intelligence customers need to make real reduction decisions.
- Build lasting data credibility with customer technical teams, ensuring carbmee EIS™ becomes trusted infrastructure - not just another analytics tool.
- You are the person who makes carbmee's AI actually work in the real world.
Your profile
- Strong data engineering foundation - Python, SQL, cloud platforms (AWS, GCP, or Azure), ETL pipelines, and data modelling.
- Experience with machine learning, LLMs, or applied AI in a production context - building things that ship, not just things that work in a notebook.
- Comfort working with messy, real-world enterprise data — and the tenacity to clean, model, and make it usable.
- We hire across all levels - from analytically strong graduates ready to learn fast, to senior data scientists and ML engineers with deep production experience.
- Understanding of ERP systems (especially SAP) and how enterprise data structures connect to business processes is a strong plus.
- Ability to work effectively with both engineering teams and non-technical business stakeholders.
- Degree in Computer Science, Data Science, Mathematics, Statistics, or a related field - or equivalent practical experience.
- Fluency in English; German is a plus.
- Passion for sustainability - motivated by the idea that the best data work you do will help decarbonize global industry.
Based in Munich
Benefits
- Unique & Powerful Mission: join a fast-growing and ambitious tech company that is shaping the future of carbon management and fighting climate change
- Compensation & Rewards: a steep learning curve and ownership from day one. We offer an attractive compensation package, including virtual stock options
- Health & Wellbeing: Urban Sports Club subscription to stay healthy & fit.1:1 coaching sessions with Nilohealth for your mental well-being.
- Flexibility & Work-Life Balance: a flexible hybrid working culture with a lovely accessible office in Berlin-Mitte or the center of Munich
- Team Culture: Our transparency, Humility, and Accountability values create a unique and supportive working environment. Be part of a multinational, motivated team that thinks work should be fun!
- Connection & Networking: Summer Offsite, Winter Party, and regular team events We give you plenty of opportunities to connect with people, strengthen cross-functional relationships, and boost collaboration
- Trust & Transparency: monthly All-Hands Meetings, weekly update newsletters, and Founders Q&As. We keep you informed on current company numbers and goals