Are you a problem solver, explorer, and knowledge seeker – always asking, “What if?”
If so, then you may be the new team member we’re looking for. Because at SAS, your curiosity matters – whether you’re developing algorithms, creating customer experiences or answering critical questions. Curiosity is our code, and the opportunities here are endless.
What we do
We’re the leader in analytics.Through our software and services, we inspire customers around the world to transform data into intelligence. Our curiosity fuels innovation, pushing boundaries, challenging the status quo and changing the way we live.
What you’ll do
We’re looking for a Senior Data Science Solution Architect with “real-world”, practical experience of Machine Learning, Deep Learning, ModelOps and Natural Language Processing, and building applications for Artificial Intelligence using open source. Experience in the insurance industry is considered a plus.
You will help create a vision of the art of the possible within the customer intelligence world – driven by analytics, stretching the boundaries and leading the market with your innovation. Crucially though you also need to practically help deliver on this vision.
As Senior Data Science Solution Architect in the DACH Insurance customer advisory team you will drive new opportunities and advisory projects for leading insurance companies and be an integral part of our customers’ success. Being a key contributor, you will act as part of sales, presales and professional service teams, management, and customers to maximize revenue opportunities and ensure the highest levels of customer satisfaction.
Your focus is on the analytics strategy of our clients. You will support leading insurance companies in the identification and design of use cases, outline cutting-edge, target-oriented implementation options, design concepts for AI factories and innovation labs and help them succeed with a holistic ModelOps approach.
The role involves using the entire portfolio of SAS Technology in the Advanced Analytics and Artificial Intelligence space (such as Machine Learning, Deep Learning, Computer Vision, Natural Languages Processing, Forecasting, Model Management and ModelOps, Streaming) as well as Open Source, to address the customers’ business needs with the most appropriate and innovative technologies and make sure they efficiently fit into existing and new business processes. Delivering concepts to scale and operationalize analytics are an integral part of your mission.
Working as part of the DACH Insurance team will present you with the opportunity to drive change, deliver strategic value and engage in truly meaningful work. You will be working with the forefront of technology to solve some of our insurance customers’ greatest challenges and dramatically change the way insurance is delivered.
Our team of data scientists, senior insurance experts and technical architects shapes the analytical ecosystem of our customers. You will be working with some of the brightest minds in the industry, in a company that encourages curiosity and innovation. We strive to achieve excellence as ethical sales professionals with our customers at the centre of everything we do.
What we’re looking for
Other knowledge, skills, and abilities
SAS is an equal opportunity employer. All qualified applicants are considered for employment without regard to race, color, religion, gender, sexual orientation, gender identity, age, national origin, disability status, protected veteran status or any other characteristic protected by law.
The level of this position will be determined based on the applicant's education, skills and experience. Resumes may be considered in the order they are received. SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, SAS may obtain nationality or citizenship information from applicants for employment. SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process.
All valid SAS job openings are located on the Careers page at www.sas.com. SAS only sends emails from verified “sas.com” email addresses and never asks for sensitive, personal information or money. Should you have any doubts about the authenticity of any type of communication from, for, or on behalf of SAS, please contact us at Recruitingsupport@sas.com before taking any further action