Your competencies bridge any gap between Data Science and Software Engineering? International collaboration paired with technological entrepreneurship is exactly your cup of tea? Perfect! Join our International Advanced Analytics Team and get into the mix with constructive passion! Your Tasks In your day-to-day operations, you apply ML algorithms, implement and evaluate ML models and transfer them into production. Eagle-eyed, you analyse the requirements of the business departments concerning Business Intelligence, DataWarehouse, Big Data, translate them into smart designs and monitor their operation.

Die WGV-Versicherungs­gruppe hat für die Versicherungs­branche ICIS® als zukunfts­weisendes Versicherungs­anwendungs­system ent­wickelt, das sich zu­nehmend als Standard für die Ver­sicherungs­wirt­schaft etabliert. Zur Ver­stärkung unserer Ab­teilung Software­ent­wicklung am Stand­ort Stuttgart suchen wir zum nächst­mög­lichen Zeit­punkt einen KI-/AI-Softwareentwickler (m/w/d) Schwerpunkt Deep Learning Ihre Aufgaben: Sie arbeiten im KI-Team an der Integration von künst­licher Intelligenz in unsere Ver­sicherungs­lösung ICIS® zur Optimierung und Auto­matisierung von operativen ProzessenDas KI-Team arbeitet selbst­ständig und unab­hängig, es identifiziert Optimierungs­potenziale und setzt diese mit Deep-Learning-Methoden und dem Ziel um, eine Deep-Learning-Plattform auf­zu­bauenSie suchen und erkennen Daten­beziehungen, um unstrukturierte Daten­sätze in nützliche Informationen zu ver­wandelnSie ver­folgen kontinuier­lich den Stand der Technik im Bereich Deep Learning und evaluieren und ver­gleichen neue An­sätzeSie begleiten die innovativen und heraus­fordernden KI-Projekte von der Analyse bis zum RolloutIhr Profil:

Your tasks – this is what awaits you in detail As a (Senior) Data Scientist (f/m/d), you drive the further development of our online shop on the basis of all things data: You will help our cross-functional product teams to develop complex data products and add machine learning smartness into existing processes and components.You will have access to vast amounts of data such as time series sales data, natural language unstructured product information or customer behavioral data.

Motius ist ein Forschungs- und Entwicklungsunternehmen mit einer einzigartigen Organisationsstruktur: wir kombinieren ein festes Kernteam (ca. 70 Mitarbeiter) mit einer interdisziplinären Tech-Community (ca. 800 Mitglieder) von Softwareentwicklern, Ingenieuren, Designern und Elektrotechnikern und bauen so Produkte und Prototypen in den neuesten Technologiebereichen (u.a. A.I., Blockchain, AR/VR und vieles mehr). Unser Core Team ist das Rückgrat des Unternehmens und verantwortlich dafür, dass wir sowohl auf technischer als auch auf Business Seite wachsen. Wenn deine aktuelle Berufsbezeichnung Deep Learning Consultant, Machine Learning Consultant, Technical Product Manager oder Product Owner ist, solltest du weiterlesen.

Motius is a research and development company with a unique organizational structure: we combine a solid core team (approximately 70 employees) with an interdisciplinary tech community (approximately 800 members) of software developers, engineers, designers and electrical engineers to build products and prototypes the latest technology areas (including App/Web, A.I., Blockchain, AR / VR and much more). As Senior Deep Learning Engineer you’re part of our A.I. Cluster and join our diverse R&D projects (each ~3-9 months duration) in small and agile teams as Lead Engineer.

As a Data Engineer at Mimi you will: Work on designing and implementing a data strategy to improve our data managementWork with research and product teams on ETL/ELT pipelines between production and analytical databaseSupport design and implementation of data formats in various research and product contextsSupport maintenance of Mimi’s databases containing user profiles as well as internal scientific study dataAssist with designing and implementing of data queries and visualizations on OLAP for internal purposesTake ownership of Data Engineering topics and work towards taking leadership in themInteract with diverse teams within the company (research, product, marketing …) to consider and take into account their data requirementsEvaluate different implementation strategies and technical trade-offsShare your knowledge of Data Engineering practices and potentially mentor othersWHAT YOU BRING TO THE TABLE

Why just look on if you can help us to move on? Our team is staffed with 15 highly qualified experts who work on interdisciplinary projects, transforming Fin into Tech. You value international exchange at the highest level, are keen to think ahead or outside the box and enjoy sharing your knowledge? Well, don’t just look on, jump on. Your tasks: You understand data science better than a software engineer and software engineering better than a data scientist.

Your passion: data, AI and ML. Our goal: transforming Fin into Tech. Your future team, staffed with 15 experts, pursues this goal every day – by working on interdisciplinary projects and applying AI know-how to a range of possible application domains. You value international exchange at the highest level, think outside the box and enjoy sharing your knowledge? So do we! Join ING and stay one step ahead. Your Tasks:

Your passion: data, AI and ML. Our goal: transforming Fin into Tech. Your future team, staffed with 15 experts, pursues this goal every day – by working on interdisciplinary projects and applying AI know-how to a range of possible application domains. You value international exchange at the highest level, think outside the box and enjoy sharing your knowledge? So do we! Join ING and stay one step ahead. Your Tasks:

Why just look on if you can help us to move on? Our team is staffed with 15 highly qualified experts who work on interdisciplinary projects, transforming Fin into Tech. You value international exchange at the highest level, are keen to think ahead or outside the box and enjoy sharing your knowledge? Well, don’t just look on, jump on. Your tasks: You understand data science better than a software engineer and software engineering better than a data scientist.

Motius ist ein Forschungs- und Entwicklungsunternehmen mit einer einzigartigen Organisationsstruktur: wir kombinieren ein festes Kernteam (ca. 70 Mitarbeiter) mit einer interdisziplinären Tech-Community (ca. 800 Mitglieder) von Softwareentwicklern, Ingenieuren, Designern und Elektrotechnikern und bauen so Produkte und Prototypen in den neuesten Technologiebereichen (u.a. A.I., Blockchain, AR/VR und vieles mehr). Unser Core Team ist das Rückgrat des Unternehmens und verantwortlich dafür, dass wir sowohl auf technischer als auch auf Business Seite wachsen. Wenn deine aktuelle Berufsbezeichnung Machine Learning/Deep Learning Engineer, Projektmanager, Produktmanager, Scrum Master oder Product Owner ist, solltest du weiterlesen.

Your contribution will be:Building data science models in the following areas: tasks of classification, regression, sentimental analysis, clustering, Building recommendation systems and predictionsDevelopment of analytical products (pricing, forecasting, client analytics, NLP, CV, etc.)Market evolution (Pricing, SoM evaluation, marketing campaigns, product etc.)B2B sales process models and analytics (consumer journey, customer segmentation, lead scoring, churn, etc.)Ideally you should possess some of the following:4+ years of industry DS experience outside of academic or internship setting.

Oliver Wyman Digital is an exciting internal start-up within Oliver Wyman, delivering world-class applications to give our clients a competitive edge. We work across the full technology stack from databases to analytics and web interfaces. Now with over 150 specialists and support staff in 16 major cities across the world, we’re committed to growth that conserves our start-up agility while expanding our opportunities for world-class work. Oliver Wyman is a global leader in management consulting.

IMAGINE - What you will work on: Our Transportation Infrastructure Technologies Competence Unit (https://www.ait.ac.at/en/research-topics/road-condition-monitoring-assessments/ ) is at the forefront of technology development, for example on the subject of road condition assessment. Our fleet of measuring vehicles, like The RoadSTAR is a mobile laboratory that provides accurate and objective data on the condition of road surfaces (motorway surfaces).You will be part of an multidisciplinary expert team and you will be responsible for the development of the software for the measurement and monitoring systems and you will conduct in-depth data analyses.

Why just look on if you can help us to move on? Our ING Analytics Hub is staffed with 15 highly qualified experts who work on interdisciplinary projects, transforming Fin into Tech. You value international exchange at the highest level, are keen to think ahead or outside the box and enjoy sharing your knowledge productively? Well, don‘t just look on, jump on. Your tasks: Machine learning, Spark & Big Data, software engineering – these are the topics you like digging into, passionately pursuing trends & technologies to introduce into your team.

ABOUT US The idea for delicious data was born when we had a late lunch at our cafeteria and there was still plenty of food available. That was the moment when we started to think about how kitchens plan their menus and numbers of meals. In Germany alone, restaurants and other food service businesses throw away roughly 2 million tons of food every year. One main reason for this problem is overproduction due to uncertain guest demand.

About Us Opinary has one mission: We make opinions matter - on the web and in real life. Globally, people use our polling technology to share their opinion with one simple click. The instant visualization of opinion trends enables our users to engage in an open dialogue and to understand complex debates. By harnessing the latest advances in Machine Learning, NLP and a distributed systems design, our platform ensures that our content always stays relevant to the reader.

Oliver Wyman Digital is an exciting internal start-up within Oliver Wyman, delivering world-class applications to give our clients a competitive edge. We work across the full technology stack from databases to analytics and web interfaces. Now with over 150 specialists and support staff in 16 major cities across the world, we’re committed to growth that conserves our start-up agility while expanding our opportunities for world-class work. Oliver Wyman is a global leader in management consulting.

Who we are This ad goes out to all those who want to find a purpose in what they’re doing and take accountability for their work. At Blinkist, we’ve created a meaningful product that is growing fast. Our blinks – key insights from the world’s best nonfiction – help more than 10 million people around the globe to keep learning new, exciting things each and every day. In 2017, we received the United Nations World Summit Award in the Learning & Education category, a Google Material Design Award for Brand Expressiveness, as well as an Android Excellence Award.

Your tasks: Develop, improve, test and deploy algorithms for parking spot detection with ParkHere sensors Be responsible for high detection rates and a robust system Work on the complete data science pipeline incl. Machine Learning Lead a team of Juniors/Working Students Your profile: You graduated in Mathematics in Data Science, Data Engineering and Analytics, Computer Science or similar You have gained a lot of data science experience in projects including Machine Learning You like to solve problems and directly contribute to the success of ParkHere