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- Tasks: Design and deliver AI solutions, analyse data, and support client meetings.
- Company: Join SAS, a leader in data and AI with a vibrant culture.
- Benefits: Free training, wellness support, and fun social events.
- Why this job: Make a real impact while learning from industry experts.
- Qualifications: Pursuing a degree in relevant fields and programming skills required.
- Other info: Flexible hybrid work environment with excellent career growth opportunities.
The predicted salary is between 500 - 1500 £ per month.
Job Locations: UK-Marlow
Requisition ID: Job Category Intern
Travel Requirements: None
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 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.
- 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 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.
CareerStart Program dates: Tentatively April 1 – September 30
Location: Expected to be on campus at SAS’ UK HQ in Marlow, Buckinghamshire for at least 2 days a week.
Perks of the job:
- Work with (and learn from) the best. As a SAS intern, you’ll get face time with our top executives!
- Free SAS programming training and certification.
- Your well-being matters, and that’s why we support all dimensions of your well-being by offering programs that reduce stress and distractions to help you stay healthy and productive. This includes an on-site and remote Work/Life Center staffed by master’s level Social Workers and an Employee Assistance Program.
- We work hard, but we like to play hard, too. Enjoy hackathons, social events and other opportunities to connect + engage.
Diverse and inclusive: At SAS, it’s not about fitting into our culture – it’s about adding to it. We believe our people make the difference. Our diverse workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers. Our commitment to diversity is a priority to our leadership, all the way up to the top; and it’s essential to who we are. To put it plainly: you are welcome here.
CareerStart@SAS 2026 - Customer Facing Intern – AI, Data Science & Risk Management in Marlow employer: SAS
Contact Detail:
SAS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land CareerStart@SAS 2026 - Customer Facing Intern – AI, Data Science & Risk Management in Marlow
✨Tip Number 1
Network like a pro! Reach out to current or past interns at SAS through LinkedIn. Ask them about their experiences and any tips they might have for you. Building connections can give you insider knowledge and make your application stand out.
✨Tip Number 2
Prepare for interviews by practising common questions related to AI, data science, and risk management. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you articulate your thoughts clearly and show off your problem-solving skills.
✨Tip Number 3
Show your passion for AI and data science! Bring examples of projects or coursework that demonstrate your skills. Whether it’s a personal project or something from uni, having tangible evidence of your abilities can really impress interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining SAS and being part of our innovative culture.
We think you need these skills to ace CareerStart@SAS 2026 - Customer Facing Intern – AI, Data Science & Risk Management in Marlow
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the role. Highlight your skills in AI, data science, and risk management, and show us how your experiences align with what we’re looking for.
Show Your Passion: We love seeing genuine enthusiasm! Share your interest in AI and data science, and let us know why you want to be part of our team. A little personality goes a long way!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon. We want to understand your thoughts easily, so make every word count!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way to ensure it gets to the right people. Plus, you’ll find all the details you need about the role there.
How to prepare for a job interview at SAS
✨Know Your Stuff
Make sure you brush up on your knowledge of AI, data science, and risk management. Familiarise yourself with SAS's products and how they solve real-world problems. This will not only help you answer questions confidently but also show your genuine interest in the role.
✨Showcase Your Skills
Prepare to discuss your programming skills, especially in languages like Python or R. Bring examples of projects or coursework where you've applied these skills, particularly in data analysis or visualisation. This will demonstrate your practical experience and readiness for the internship.
✨Ask Insightful Questions
During the interview, don’t hesitate to ask questions about the team’s projects or the company culture. This shows that you’re engaged and eager to learn. Plus, it gives you a chance to assess if SAS is the right fit for you!
✨Be Yourself
SAS values authenticity, so let your personality shine through. Share your passions and interests, especially those related to AI and technology. This will help you connect with the interviewers and show them what unique perspective you can bring to the team.
