Team Lead Data Science (f/m/x)

Enpal; Berlin; Vor Ort; EUR 80.000 - 100.000; Vollzeit

Benefits dieser Stelle

29 + 2 vacation days

Discounted membership at Wellhub

Corporate benefits

Relocation opportunity for work flex

Zusammenfassung

Enpal is looking for a Team Lead Data Science to manage a dedicated team focused on forecasting systems for its energy trading operations. You'll lead model development and inform trading decisions in one of Europe’s largest residential energy communities.

This hands-on leadership role requires strong expertise in machine learning, particularly in time series forecasting, as well as proven experience leading a team.

Join us in shaping the future of clean energy in Germany!

Qualifikationen

• 5+ years of industry experience in machine learning with a strong focus on time series forecasting.
• 2+ years of experience leading a data science team.
• Proficiency in Python and SQL.

Aufgaben

• Research and develop time series forecasting models.
• Contribute to MLOps infrastructure.
• Communicate model decisions to C-level leadership.
• Collaborate with Traders and Engineers.
• Lead and mentor a team of data scientists.
• Foster a culture of continuous learning.

Kenntnisse

Machine learning

Time series forecasting

Python

SQL

MLOps

Data engineering

Cloud infrastructure

Distributed data processing

Team leadership

Communication

Ausbildung

University degree in Computer Science, Engineering, Mathematics, Statistics

Tools

PySpark

Dask

Jobbeschreibung

At Enpal, we are not just a company; we are a movement. As a recognized greentech unicorn and one of Europe’s fastest-growing energy companies, we’re dedicated to making solar energy accessible and effortless for homeowners across the continent. Our innovative business model for solar panels, heat pumps, home energy storage systems, and EV charging stations is redefining the residential energy market. With our mission to empower homeowners to embrace clean energy, we are paving the way for a sustainable, decentralized energy future.

As the leading player in residential solar, Enpal is expanding its next frontier: Enpal Energy, our platform for managing, optimizing, and orchestrating millions of distributed energy assets. This includes building Europe’s largest Virtual Power Plant (VPP), connecting solar systems, batteries, heat pumps, and EV chargers to actively stabilize the grid and unlock new revenue streams for our customers.

Our vision is bold: to become the driving force in Europe’s transition to distributed, intelligent, and clean energy generation.

About the role

We are looking for a Team Lead Data Science to lead our Energy Data Science team, a focused team of three data scientists building and operating the forecasting systems that sit at the heart of Enpal’s energy trading operation. You will own short-term and long-term models, as well as risk simulations, and your team’s output will directly inform trading decisions across one of Europe’s largest residential energy communities.

This is a hands-on leadership role (~65% technical, ~35% leadership). You are expected to stay deep in the work — modelling strategy, architecture decisions, critical code and design reviews — while leading your team and owning its outcomes.

What you'll do

• Research, develop, and productionize time series forecasting models for energy markets (e.g. load and generation forecasts), owning the full lifecycle from data exploration and feature engineering through model training, evaluation, deployment, monitoring, and retraining.

• Contribute to our MLOps infrastructure: experiment tracking, model versioning, automated retraining pipelines, and production observability.

• Communicate forecasting model decisions and performance to C-level leadership, and stakeholders in trading and risk management functions, connecting business understanding and impact with deep technical knowledge.

• Collaborate closely with Traders/ Portfolio Managers, Data Engineers, Software Engineers, and Product to deliver well-engineered, reliable data science products.

• Own and evolve the team’s forecasting roadmap, including future use cases such as long-term forecasting (1–2 year horizon), price forecasting, and probabilistic risk simulations.

• Lead, mentor, and develop a team of data scientists — including 1:1s, performance reviews, career development, and hiring decisions.

• Foster a culture of continuous learning, engineering quality, and technical growth.

What you'll bring

• University degree in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative field.

• 5+ years of industry experience in machine learning, with a strong focus on time series forecasting or data science in the energy sector.

• 2+ years of experience leading a data science team or multi-person project, including formal people management responsibilities (performance reviews, mentoring, hiring).

• Proficiency in Python and SQL, with strong software engineering fundamentals: testing, code quality, version control, and CI/CD.

• Proven experience deploying, monitoring, and maintaining machine learning models in production environments.

• Hands-on experience with MLOps practices and tooling: experiment tracking, model registries, automated retraining workflows, and CI/CD for ML.

• Practical experience with data engineering tasks: pipeline development, data quality management, and feature engineering at scale.

• Experience with cloud infrastructure (Azure, AWS, or GCP) and cloud data warehouses (Snowflake or similar).

• Experience with distributed data processing frameworks (PySpark, Dask, or similar).

• End-to-end ownership mindset: proven ability to drive projects from research through production, and to deliver outcomes through a team.

• Fluent in English.

Nice to have

• Experience with long-term forecasting (seasonal, multi-year horizons) or scenario modelling.

• Experience with probabilistic forecasting or uncertainty quantification (e.g. conformal prediction, quantile regression, Monte Carlo simulation).

• Experience working with weather data or numerical weather prediction models.

• Experience scaling ML systems: managing many models in parallel, high-throughput inference, or model fleet management.

• Experience with price forecasting or price forward curves in energy markets.
  

What we offer

• Work at Germany's first green unicorn - Play an active role in shaping the solar energy transition.

• The sun shines all over the world - At Enpal, you'll work with a highly motivated, diverse team of over 65 nationalities.

• The ideal setup for your focus - We are convinced that excellent results are achieved when the conditions are right. That's why we rely on a hybrid working concept that gives you the freedom to always work in the way that best suits your tasks. Do you need new inspiration on an international level? With Workflex, we offer you the opportunity to relocate abroad for up to 30 days a year, depending on your responsibilities.

• Grown-up business & startup spirit - In our modern office in Berlin-Friedrichshain, you'll find everything your heart desires, from height-adjustable desks and table tennis to stocked beverage fridges and barista coffee.

• Your kick-start at Enpal - Onboarding day with a welcome bag, buddy program, and a team that really supports you.

• Stay up to date & help shape the future - Transparent all-hands meetings, short decision-making processes, and an open feedback culture - without mistakes, there is no progress.

• The energy transition can only be achieved together - At Enpal, you can expect legendary team spirit and unforgettable team events.

• Your extra boost - 29 + 2 vacation days, discounted membership at Wellhub, and corporate benefits. Everything you need to help you achieve a good work-life balance.

At Enpal, we are proud of the diversity of our team. No decisions are made on the basis of skin colour, religion or religious belief, ethnic or national origin, nationality, gender identity, sexual orientation, disability or age, either during recruitment or employment. Enpal stands for a safe workplace and takes action against discrimination and harassment of any kind.