Data Science Engineer (f/m/d)
At a glance
Mid-level Data Science role at Prewave. Vienna · full-time.
Pay not stated Data Science salary
dataroles summary, based on the employer's posting.
What you'll do
- Use NLP to draw meaning from varied datasets and identify patterns, test ideas, and find ways to improve outcomes
- Build, tune, and put machine learning models into production with Torch and TensorFlow
- Turn newer algorithms into working production solutions, then track and improve their accuracy
- Bring additional data sources into the system and work with other teams on data-led business problems
What you bring
- A bachelor's degree or higher in computer science, statistics, mathematics, or a related discipline
- At least three years building machine learning models and taking them through production deployment and scale
- Hands-on knowledge of NLP or other machine learning methods, plus tools such as Torch or TensorFlow
- Strong Python and Scala skills, along with SQL and relational database knowledge
Who this fits
This mid-level role suits someone who can take a model from an early prototype through deployment and ongoing monitoring. You should be comfortable working through open-ended problems and adapting when plans change. The role is based in Vienna with hybrid work and flexible hours; you can work from anywhere for up to eight weeks a year.
From the employer
We're looking for a Data Science Engineer who takes ownership of turning vast, complex data into actionable intelligence from day one. Someone who uses AI as a default part of how they work - and knows when to trust their own judgment.
Decode the data – Leverage natural language processing (NLP) to extract meaning from diverse datasets.
Think like a scientist – Formulate hypotheses, uncover patterns, and pinpoint optimization opportunities.
Build smarter AI – Develop, fine-tune, and deploy machine learning models using Torch and TensorFlow.
Bridge research & reality – Transform cutting-edge algorithms into production-ready solutions.
Keep models sharp – Monitor, enhance, and continuously improve model performance and accuracy.
Expand the data universe – Identify and integrate new data sources to enrich our intelligence.
Collaborate & innovate – Work with cross-functional teams to tackle business challenges with data-driven solutions.
You are the right fit if you have:
Bachelor’s degree (or higher) in Computer Science, Statistics, Mathematics or related fields
3+ years of experience in developing, deploying and scaling machine learning models to production
Experience with NLP or other machine learning technologies, machine learning techniques and tools like Torch or Tensorflow
Good experience in working with Python and Scala
Knowledge of SQL and relational databases
Strong problem-solving skills, comfortable with ambiguity and open-ended questions
End-to-end ownership, from prototyping a model to deploying and monitoring it in production
Nice to have:
Master’s degree in a related field
Understanding of cloud-based services, especially Google Cloud Platform or AWS
Knowledge of NoSQL database systems
Knowledge of agile software development techniques
Experience with agent engineering and AI tools like Cursor, Claude etc.
We're a robust AI-native team building an AI-native resilience product - and we hire for both. For us, AI-native has always meant humans and AI working together, not one replacing the other. We use tools like Claude and Cursor as a normal part of the job, to think faster, work smarter and spend less time on the repetitive stuff. We treat AI fluency as a skill like any other - something you build, experiment with and keep developing.
What that works alongside is real ownership. You'll have the space and the trust to figure things out your way - with a strong team around you and plenty of support when you need it. Things move fast here and the brief won't always be complete, but that's what makes the work interesting.
The people who do best at Prewave are curious by default, go after things rather than wait to be handed them, and don't lose their footing when the plan changes.
We score six values in every interview - creating positive impact, optimising for customer value, being an ambitious innovator, operating with urgency, doing things that make sense and collaborating with kindness - so you always know what we're looking for and can prepare accordingly.
Minimum EUR 45,738 gross annually based on IT Collective Agreement. Flexible hours and hybrid working.
Your birthday off. MyClubs partnership. Mental health support. Regular health check-ups and initiatives. Company-wide training. Fun team events. Device of choice. Work from anywhere - up to 8 weeks a year.
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