# Data Science Engineer (f/m/d) at Prewave > Austria · Unspecified · Analytics / Data science · open. Source: https://alderhq.app/jobs/personio%3Aprewave%3A2699811 (read 2026-11-08). ## Facts (observed) - Company: [Prewave](https://alderhq.app/companies/prewave) - Location text: Vienna - Where it can be done from (inferred): Austria (evidence: "Location: Vienna") - Posted: 2026-07-06 (125 days ago) - First seen by alder: 2026-11-04 · last verified: 2026-11-04 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://prewave.jobs.personio.de/job/2699811 - Skills listed (inferred): Python, Scala, AWS, GCP, SQL, TensorFlow ## Pay and sponsorship - Posted pay: €46k per year (from the description) ## Description (the employer's text) ### What we build 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. ### What you'll own 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. ### What we are looking for You are the right fit if you have: Bachelor’s degree (or higher) in Computer Science, Statistics, Mathematics or related fields 5+ 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. ### What's our working style 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. ### The Package 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. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/personio%3Aprewave%3A2699811 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.