Associate Data Scientist (f/m/d) arbeitnow Predium Munich · 9/30/2026

Primetime; München; Hybrid; EUR 70.000 - 110.000; Vollzeit

Benefits dieser Stelle

Office in Munich Werksviertel

4 days per week on-site

30 days vacation

Wellpass

Deutschland-Ticket

Jobrad

Team events

Zusammenfassung

Predium in Munich is hiring a Data Scientist to help develop data-driven models for buildings, energy performance, and real-estate decarbonization. You will turn real-world data into analytical and simulation models that identify optimization opportunities for sustainable buildings and support investment decisions.

Collaborating with engineers, product managers, and other stakeholders, you will own well-defined modeling problems, ensure reproducibility, and translate technical results into clear

Qualifikationen

• 1–2 years hands-on experience in data science, with programming
• Experience in statistics, ML, or numerical methods
• Good communication with technical and non-technical stakeholders
• Comfort working with Python and data pipelines

Aufgaben

• Develop analytical, ML, and simulation models for real-estate and energy domains
• Build and improve data extraction pipelines from structured/unstructured sources
• Explore new data sources to improve model accuracy
• Assess data quality and validate models against real-world data
• Collaborate with data scientists, engineers, and product managers to translate needs into solutions

Kenntnisse

Python

English communication

German communication

Problem solving

Data pipelines

Ausbildung

Degree in data science or related field

Tools

TypeScript

Jobbeschreibung

Over the past three years, Predium has built the leading real estate intelligence platform for ESG and value management in the DACH region - with the strongest names in the industry as customers: asset managers, housing companies, banks. Our customer base, our data, our credibility - that's valuable capital for the next step. Investment, credit, and asset management decisions in real estate are still made in Excel, case by case. We're now building the AI analyst that takes this work off people's hands - working directly on the customer's own data, scalable without adding headcount. We're well-funded, and we're bringing AI into real estate.

Our Opportunity

Over the past three years, Predium has built the leading real estate intelligence platform for ESG and value management in the DACH region - with the strongest names in the industry as customers: asset managers, housing companies, banks. Our customer base, our data, our credibility - that's valuable capital for the next step. Investment, credit, and asset management decisions in real estate are still made in Excel, case by case. We're now building the AI analyst that takes this work off people's hands - working directly on the customer's own data, scalable without adding headcount. We're well-funded, and we're bringing AI into real estate.

Your Mission

As a Data Scientist at Predium, you will help develop and improve the data-driven models behind our platform. You will use statistics, machine learning, and numerical methods to solve well-defined problems related to buildings, energy performance, and real-estate decarbonization.
Working closely with our engineering and product team, you will turn real-world data into reliable analytical, simulation, and machine-learning models that identify optimization opportunities for more sustainable buildings and help customers make informed investment decisions.

What you'll own

• Develop and improve analytical, machine-learning, and simulation models to address business problems in the real-estate and energy domain.
• Build and improve data extraction pipelines for structured and unstructured sources, evaluating extraction accuracy and reliability
• Continuously explore and evaluate new data sources to improve model accuracy.
• Assess data quality, identify gaps and evaluate model performance by validating assumptions and results against real-world data and feedback of domain experts.
• Collaborate with data scientists, engineers, product managers, and other stakeholders to translate business needs into data-driven solutions.

What success looks like

• You take ownership of well-defined analytical and modeling problems and independently deliver robust solutions.
• Your models and analyses are reproducible, well-documented, and supported by appropriate validation.
• You translate technical results into clear implications for the product, our customers, and the business.
• You collaborate effectively across Data, Engineering and Product teams.
• You actively seek feedback and use it to improve both your technical work and your way of working.

What it takes

• A degree in data science, computer science, mathematics or a related field.
• 1–2 years of relevant hands-on experience, with programming, ideally in Python, through projects in areas such as physics-based modeling, machine learning, or data pipelines. TypeScript experience for product prototyping is a plus.
• A structured, independent approach to problem-solving.
• Curiosity about business needs and the ability to explain findings clearly to technical and non-technical stakeholders.
• Confident communication in English and German.

Bonus

• Initial experience with optimization methods, LLM-based data extraction, or uncertainty and sensitivity analysis.
• Familiarity with real estate, building physics, or energy systems.
• Experience with tools for physical simulation or energy modelling.

Why Predium?

• Stage: ~40 people, well-funded, on the way to defining the category. Early enough that a lot still needs to be built. Yes, it’s messy sometimes - that’s the whole point. If you’re looking for a job with a finished playbook, this isn’t the right fit.
  
• Impact: You’re not cog #100 in some company. The models you build feed straight into our product and get used by real customers. Your contribution shows up directly, in revenue and in the product.
  
• Ownership: We don’t manage your time, we measure your results. You get responsibility and freedom - and the expectation that you’ll use both.
  
• Compensation: Competitive salary, bonus, and equity. We want you to share in the success you help create.
  
• Team: Office-first in Munich’s Werksviertel, 4 days/week.

30 vacation days (including company vacation) · Wellpass · Deutschland-Ticket · Jobrad · team events

This overview was written from the original listing to help you understand the role. Always confirm the specifics on the employer’s application page.