Data Scientist Machine Learning (m/f/d)

enmacc is Europe’s largest over-the-counter trading market venue for energy and environmental commodities. Our cutting-edge platform digitalises the energy trading landscape, addressing the long-standing challenges that traders have faced for decades.

Our trading platform allows market participants to execute trades with unparalleled speed, efficiency, and security. We have over 550 companies and 2200 members trading electricity, gas, Guarantees of Origin, emissions allowances and weather derivatives. Our platform attracts a vibrant network of energy suppliers, trading houses, industrial companies, and municipal utilities. By joining our platform, participants gain access to more market opportunities, boosted liquidity, and are empowered to accelerate the energy transition.

Since 2016 we have now a dedicated team of 90 talented individuals spread across Europe. We are driven by our enthusiasm for the energy sector and technology, thriving in a dynamic scale-up environment. If you share our zeal for working in a diverse, inclusive, and fast-paced environment, we invite you to submit your application below.

Your Mission:

Join us in disrupting the international energy trading market and leave your mark in re-defining how energy traders work! 

We are looking for ambitious data scientists that would like to seize the opportunity to play a major role in shaping the future of intelligence at enmacc, building high-impact products powered by machine learning. You will report directly to the Head of Platform, collaborating closely with product and engineering teams to identify opportunities for introducing intelligence into the energy trading marketplace. Your focus will be on improving upon existing implementations of machine learning, identifying opportunities for ML and GenAI, and leading data science initiatives to foster both individual and team growth within engineering.

Your Responsibilities / What you’ll do:

• Take a leading role in driving cutting-edge machine learning initiatives at enmacc, setting the direction for how advanced AI technologies, like LLMs and Generative AI, shape the future of energy trading and beyond.
• End to end ownership of data science products, spanning the entire technical workflow and related project management responsibilities - you get a high level of autonomy and the responsibility which comes with it
• Develop Model as a Service infrastructures that host and manage pre-trained models for common tasks by identifying common use cases for ML that can be used “Out of the Box” by engineers
• Enable the integration of Generative AI models, like those for natural language integration, which will allow development teams to integrate these capabilities without requiring extensive ML expertise.
• Put the customer/user of your data science product at the centre of your product development - work closely with customers to deeply understand their needs and derive data science products that will deliver real value
• Advocating Data Science fundamentals in the Development and Product Departments
• Organize knowledge sharing to grow and win together as a team
• Driving collaboration between Platform and Engineering teams

Your profile / What you’ll need:

• Excellent academic background in a quantitative field such as computer science, engineering, economics, etc.
• Strong proficiency in Python, SQL and specialised ML libraries (e.g. scikit-learn, TensorFlow, PyTorch)
• Strong familiarity with Generative AI, including experience with different large language models, embeddings, vector databases and libraries like LangChain or Llamaindex for building and deploying GenAI systems
• Solid understanding of the benefits and drawbacks of different ML algorithms (incl. Knowledge of deep learning models)
• Experience working with relational/NoSQL databases (e.g. Postgres, MySQL, DynamoDB)
• Experience working with Docker, AWS services (e.g. S3, Athena, Glue, Cloudformation, Bedrock)
• Experience in deploying, maintaining and updating models in production, as well as tracking experiments
• Experience working end-to-end (from ideation to deployment) to deliver production-ready data products
• Experience working with business stakeholders

Our offer / What you’ll get:

• Teams of highly skilled developers
• High autonomy and working with a modern tech stack: Java, Kotlin, Spring Boot, Amazon Web Services, Infrastructure As Code, Angular, Typescript, Cypress, Docker, Gitlab, Intellij IDEA
• Our Rapid Prototyping Days and Level Up Days to explore new technologies and prototype your ideas
• Being part of our supportive, persistent, curious, and fun culture!
• Joining a grown-up start-up in the SaaS/energy field
• An entrepreneurial company culture with flat hierarchies
• Modern office spaces in the heart of Munich
• State of the art hardware and software
• A diverse, international team that celebrates differences
• Free drinks, fruit, and coffee as well as special fitness offers
• Hybrid work set-up, allowing you to combine working in the office with working from home
• German classes
• Learning & Development: a Personal Development Plan along with an allocated budget and 5 extra days off to further your personal & professional development
• Relocation assistance for international candidates
• Dog-friendly office

#LI-Hybrid

Got energy? Join us!