Preventio is a fast-scaling, VC-funded start-up based in Frankfurt, that develops AI-based solutions to predict and prevent building damages. We believe that with technologies at hand, damages should be something of the past. We are passionate about what we do and together with YOU we want to develop solutions that serve a purpose and solve real problems. If you are looking to be part of a fast-growing company that is disrupting the insurance and housing market by building transformative technology, then join our team and take a leading role in Predicting the Future. Together.

Tasks

You’ll spend your time and be responsible for:

• Developing, testing, and optimizing machine learning models.
• Defining the technical approach, data, and algorithms needed.
• Analysing and preparation of data.
• Identifying required internal and external data.
• Building prediction models from POC state to production readiness.
• Participating in requirements gathering, technical specification, design, and development of complex machine learning operationalisation projects.
• Contributing to architecture design, development of data or machine learning pipelines.

Requirements

You should apply if you have:

• Possibly a Bachelor’s or Master’s degree in Computer Science, Mathematics, Science, Engineering ORqualification or certifications in relevant technologies.
• Knowledge in a range of Machine Learning and AI techniques (e.g., supervised, and un-supervised machine learning techniques, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern recognition, etc.).
• Experience with data science libraries like Pandas, Numpy, Scikit-Learn and Pytorch.
• Knowledge of SQL for accessing and processing data.
• Experience using Python or R to extract insights from data.
• Experience using the latest Data Science platforms (e.g., Databricks, Azure Machine Learning, AWS SageMaker) and frameworks (e.g., Tensorflow, MXNet, scikit-learn).
• Deep understanding of data manipulation/wrangling techniques.
• English and German language skills.

Benefits

You get a bonus having:

• Experience using the latest Data Science platforms (e.g., Databricks, Azure Machine Learning, AWS SageMaker) and frameworks (e.g., TensorFlow, MXNet, scikit-learn).
• Experience with Spark, Scala.
• Know software engineering practices (coding practices, unit testing, version control, code review)
• Experience with AWS services, especially AWS SageMaker
• Domain knowledge predictive maintenance

These are some of the benefits we offer you:

• Exciting start-up culture and work environment
• Competitive salary
• Stock options
• Flexible working hours
• Company bike
• Latest work equipment
• Yearly training budget
• Regular team events

Preventio is committed to fostering a culture of diversity, equality, and inclusion. All members of our team share the responsibility and commitment to uphold these values and encourage applicants from diverse backgrounds and perspectives to apply.

We want to make this job application accessible to everyone. Should you have a disability that requires an accommodation please reach out and we are happy to assist.

Interview process:

Apply by sending your CV or by contacting us directly at myjob(at)preventio. de. The interview process consists of an initial conversation and a technical interview that takes place virtually or on site. No brain teasers or trick questions asked!