Data Scientist (w/m/d)

Our Mission

At encentive, we are building flexOn – an intelligent energy management system that uses AI to control industrial assets.

We collect real-time data from assets, forecast their behavior, and combine this with external factors such as weather conditions and energy prices. The result: optimized costs and reduced CO₂ emissions.

Today, flexOn is a tool built by engineers, for engineers.

Tomorrow – with you – it will become a product that excites customers, delivers real value, and redefines standards in the energy industry.

🫵 Your mission

In the future, it will not only be crucial to consume less energy, but also to consume it at the right time - this is the only way to optimally integrate volatile renewable energies from wind and solar into our electricity system.

With our AI-based flexOn platform, we help industrial electricity consumers to actively flexibilize their energy consumption - in other words, to use electricity when it is particularly green and cheap. Our goal: to drive forward the decarbonization of the energy system - and significantly reduce costs in the process.

At encentive, you will not only have the opportunity to be part of a fast-growing start-up, but you will also be an important part of accelerating the energy transition from day one.

Your Tasks

• Development of machine learning models to forecast important variables such as electrical energy generation and consumption, which we use to efficiently control and optimize energy flows
• Responsibility for all aspects of the machine learning lifecycle from problem definition and initial data analysis to training, deployment and performance monitoring in the production environment
• Improving our forecasting pipeline and adapt it to the requirements of our growing customer base
• Ensuring the high quality of our code base through the commitment to best practices in software development  
• Close collaboration within an agile project team, including exchange, reviews, and further development of the software architecture

Qualifications

• Proven experience in the development and implementation of production-ready machine learning models using frameworks such as scikit-learn, xgboost or PyTorch
• Sound knowledge of statistical analysis methods for evaluating data and ensuring the quality of models
• Completed studies in the field of data science, mathematics, computer science or comparable
• Experience with time series forecasting in general and load forecasting in particular is an advantage
• Knowledge of MLOps (e.g. Docker, Kubernetes, cloud deployment, API development) is an advantage
• Proactive, independent and structured way of working
• Enjoyment of interdisciplinary project work
• Ability to communicate complex technical issues effectively and in a target group-oriented manner

What We Offer

• Real Impact: Contribute directly to the fight against climate change from your very first day.
• Entrepreneurial Freedom: Flat hierarchies, full ownership, and responsibility – your ideas are not just welcome, they are essential for encentive’s growth.
• Modern Work Environment: Inspiring offices in the heart of Berlin-Mitte and Hamburg’s Sternschanze – centrally located, well-connected, and full of life.
• Flexibility: Hybrid work and flexible hours – you decide how to unleash your productivity.
• Sustainable Mobility: We cover your Deutschlandticket, ensuring convenient and eco-friendly travel.
• Health & Wellbeing: Access to Wellpass, with hundreds of fitness and wellness options across Germany.
• Team Spirit: Multiple offsites per year at exciting European locations – for inspiration, strategy, and genuine bonding.
• Ownership & Growth: Opportunity to participate in our ESOP program, so your commitment pays off in the long run.
• Learning & Development: Mentoring, further training, and access to a strong founder and investor network to support your personal and professional growth.

🚀 Your Opportunity

If you’re eager to shape the future of the energy industry and take a product to the next level, we’d love to hear from you.

👉 Apply now at encentive – and become our new Data Scientist (w/m/d).

At encentive, diversity, equal opportunity, and inclusion are not just buzzwords – they are part of our daily practice. We welcome applications from people of all genders, ages, backgrounds, religions, sexual orientations, and identities, as well as from people with disabilities.