SAS

Sr Data Science Solution Architect - Insurance (M/F/Div)

Requisition ID
20039947
Primary Location - Country
Germany
Job Category
Sales/Pre-Sales

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.

 

You will:

  • Help insurers to transform from “understand and protect” to “predict and prevent”. Find ways to automate complex decision problems and provide efficient processes, elastic infrastructures, and adequate tooling to make real use of AI technologies.
  • Enable actuarial departments to bring their pricing processes to the next level. Help them to use AI for better tariffs and optimized portfolios. Let them do pricing in real-time.
  • Next-best offer? Next-best action? Maybe next-best question! Help insurance companies to create the customer experience of the future.
  • Digital channels require improved anti-fraud measures. Help insurance companies to effectively combat claims or application fraud.
  • The advent of IoT is a great source for new data, a true enabler of new products, as well as a gateway for new risks. Help insurers to leverage the new possibilities of IoT.

 

What we’re looking for

  • Ideally you have 5+ years of practical experiences, know the business implications of analytics and the challenges in adopting analytics in an enterprise context and in business processes, had a leadership role in analytics / data science, and you know the processes of the insurance industry
  • Knowledge of open source technologies and technologies for Deep Learning and Artificial intelligence, such as Python, R, Caffe, Keras
  • Understanding of deployment concepts such as API, REST, Microservices, containers
  • Knowledge of SAS tools in the Advanced Analytics Space, such as Visual Data Mining and Machine Learning, Visual Text Analytics, Model Manager, Enterprise Miner, Contextual Analysis
  • Excellent understanding of the Artificial Intelligence market
  • Proven record of projects in the AI and ML space
  • Proven ability to define and execute a strategy across a virtual team
  • Ability to coach customers on innovative topics in the space of AI working in a global environment across countries
  • Significant experience in presales/customer advisory, sales or business consulting
  • Fluent in written and spoken German and English
  • Strong communication and team working skills
  • External qualifications considered a plus: proven speaking engagements at conferences, community blogging and interactions
  • Ability to work comfortably with directors and C-level executives at customers and partners
  • Business acumen and sales-driven approach
  • You’re curious, passionate, authentic and accountable. These are our values and influence everything we do.
  • Have demonstrated the ability to bridge the gap between the business and technology, relating business requirements to technical capabilities and solutions to business value, in the space of Advanced Analytics, Artificial Intelligence, Model and Decision Management, ideally with a focus on insurance related applications.

 

Other knowledge, skills, and abilities

  • Good problem solving, organizational, decision-making written, oral and interpersonal skills
  • Has a single domain or industry specific knowledge
  • Ability to work independently and as part of a team
  • Travel as business requirements dictate at management discretion

 

Why SAS

  • We love living the #SASlife and believe that happy, healthy people have a passion for life, and bring that energy to work. No matter what your specialty or where you are in the world, your unique contributions will make a difference. 
  • Our multi-dimensional culture blends our different backgrounds, experiences, and perspectives. Here, it isn’t about fitting into our culture, it’s about adding to it - and we can’t wait to see what you’ll bring.

 

Additional Information:

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

 

#LI-DR1

Options

Sorry the Share function is not working properly at this moment. Please refresh the page and try again later.
Share on your newsfeed