Model Ownership & Production Deployment You take ownership of the development and deployment of machine learning models for a dedicated TV-Insight market.
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Wir schreiben dir, sobald eine neue geprüfte Stelle dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
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Data Scientist DEPT®/AI has a single mission: to make the best work in the industry using AI to enhance everything we do.
Begleitet Kunden von der KI-Strategie bis zur Produktivsetzung, entwirft Architekturen, baut Prototypen und verantwortet Pilotprojekte mit Mistral-Modellen.
Entwirft und deployt KI-Lösungen bei Industriekunden, von der Roadmap bis zur Produktion, inkl. Physik-KI-Pipelines.
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Entwirft und deployt KI-gestützte Cybersecurity-Lösungen bei Kunden, von Workshops mit CISOs bis zur Produktion, zusammen mit dem Applied-AI-Team.
We are seeking a highly skilled and experienced Scientist II Machine Learning Engineer to design, develop, and deploy cutting-edge AI solutions.
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Work closely with commercial stakeholders to translate business requirements into well-scoped projects and respond to operational inquiries.
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About ICIS ICIS is part of Lexis Nexis Risk a FTSE 20 company with revenues of $12.9 billion in 2025 and an employee base of over 30,000 peo
Warum dieser Job gelistet ist
Eindeutige KI-Rollenbezeichnung im Stellentitel. Prüfverfahren ansehen
Model Ownership & Production Deployment You take ownership of the development and deployment of machine learning models for a dedicated TV-Insight market. This includes building and improving real-time machine learning applications as well as developing model components that feed into real-time projection processing. Working closely with a highly specialized team of engineers and data analysts, you ensure a strong understanding of the technical implementation while setting the highest standards for statistical modelling, creating direct business impact from day one.
Exploratory Analysis, Model Understanding & Communication You conduct thorough exploratory data analyses to evaluate input data and gain a deep understanding of model behaviour and performance. In both research tasks and day-to-day work, you uphold best practices in modelling approaches and production-quality code. You communicate your insights in a clear and accessible way through dashboards and reports, enabling data-driven decision-making for management and key stakeholders.
Continuous Innovation & Technical Excellence You continuously stay up to date with technological and industry developments to expand your skill set and strengthen your ability to innovate. You critically assess the potential of new methods, tools, and trends, and proactively implement your own ideas in small-scale experiments to test and validate their expected benefits before scaling them into production. Qualifications Master’s degree or PhD in a highly quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline 3+ years of professional experience in quantitative analytics, data science, or applied statistics.
Strong hands-on experience in statistical modelling using R or Python, with solid experience working with databases and query languages such as SQL. Proven expertise in applying core statistical methods, including regression, classification, and hypothesis testing, to real-world business problems. Ability to translate complex analytical results into clear, compelling visualizations and dashboards using tools such as ggplot, R Shiny, or Data Studio.
Strong presentation and communication skills, with the ability to explain complex technical concepts to non-technical audiences and collaborate effectively in cross-functional teams.
Due to legal reasons, we are obliged to disclose the minimum salary according to the collective agreement for this position, which is € 2.362 gross per month. However, our attractive compensation package is based on market-oriented salaries and is therefore significantly above the stated minimum salary. As an employer, we value diversity and support people in developing their potential and strengths, realizing their ideas and seizing opportunities.
We believe passionately that employing a diverse workforce is central to our success. We welcome applications from all members of society irrespective of age, skin colour, religion, gender, sexual orientation or origin.
Are you passionate about creating innovative data-driven products that reshape industries? TV-Insight is an exciting digital spin-off within Red Bull, located in Elsbethen (Austria), dedicated to revolutionizing the TV measurement and advertisement industry. As a Data Scientist, you will be at the forefront of creating and improving the analytical foundation of our novel product, capable of handling multiple millions of classification tasks every second.
Working alongside a team of talented data scientists, data engineers, analysts, and business stakeholders, you will play a key role in defining the success of a state-of-the-art analytics product.
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Zur OriginalanzeigeModelle bauen, trainieren und verbessern: von klassischem Machine Learning über Computer Vision bis zum Feinschliff großer Sprachmodelle.