CareerStart@SAS Program | Customer Advisory UK

Systems Engineer Intern – AI & Risk Management

Marlow-Hybrid

Nice to meet you!    

We’re a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence – and questions into answers.     

If you’re looking for a dynamic, fulfilling career with flexibility and a world-class employee experience, you’ll find it here. We’re recognized around the world for our inclusive, meaningful culture and innovative technologies by organizations like Fast Company, Forbes, Newsweek and more. 

What you’ll do   

Looking for *that* internship? The game-changing one that’ll help you learn, grow, and chart your path forward? You’ll find it at SAS. Our interns aren’t coffee runners – they do real, meaningful work. Our AP EMEA CareerStart@SAS program is focused on development, culture, and community. We’ll help you grow professionally, find (or further) your passion, and make memorable connections that last beyond the program!    

Our Northern European Solutions Team is a group of technical and business experts who help customers understand, adopt, and gain value from SAS’ AI solutions. We sit between sales and delivery, acting as trusted advisors who make sure that what SAS sells meets the requirements our customers have and is delivered successfully so creates positive impact.

We operate across UK, Ireland and the Nordics – supporting a range of industries including Banking, Public Sector and Commercial sectors such as Telcos and Retail.

As an intern, you might:

• Assist in designing and delivering data-driven AI solutions for customers, proving how our solutions solve real-world customer problems.
• Analyse client data to identify trends and provide insights to support business decision-making.
• You might publish a blog or two and support experts in your team in sharing knowledge on certain technical features to other colleagues.
• Participate in client meetings, asking questions to understand how their business operates today and then helping to translate their business needs into technical solutions.
• Work with cross-functional teams (within the UK and also globally) to create impactful presentations and software demos that showcase SAS’s capabilities.
•  And you will definitely have lots of opportunity to attend courses to learn and then get hands-on with our industry leading AI tools.

Examples of SAS AI and Risk Solutions;

• When someone applies for a loan or a credit increase, SAS checks their risk quickly and accurately. It uses advanced analytics and machine learning to decide if it’s safe to approve. It also helps companies manage their entire portfolio of customers, so they can reduce losses.
• Stress testing runs “what if” scenarios to see how a company would cope in tough times. This is important and a legal requirement for banks.
• Model management makes sure predictive models are accurate and follow rules. As well as ensuring that any AI and ML is ethical and fair.
• Imagine a brain for business decisions that combines rules (like “don’t lend to someone with bad credit”) with AI models to make consistent, explainable decisions. It works across all customer touchpoints - apps, websites, branches - so the experience for consumers is smooth and fast.

Required Qualifications

• Degree Type: Bachelor’s, Master’s
• Targeted majors: Mathematics, Statistics, Data Science, Computer Science, Economics, Financial Management, Business Analytics, or related fields.
• Proficiency in at least one programming language used for data analysis (SAS, Python, R, SQL). · You’re curious, passionate, authentic, and accountable. These are our values and influence everything we do.
• Strong communication skills – both written and verbal.
• Leadership abilities. Your past experiences demonstrate you’ll take initiative and go above and beyond the call of duty.
• You’re interested in the future of AI and embrace technology.

Preferred Qualifications

• Familiarity with data visualization and programming languages.
• Knowledge of industry best practices or experience in customer-focused roles.