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- Tasks: Join us as a Customer Facing Intern to work on AI and data science projects.
- Company: SAS, a leader in advanced analytics and machine learning.
- Benefits: Free training, wellness support, and fun social events.
- Why this job: Make an impact in the future of AI while learning from top executives.
- Qualifications: Pursuing a degree in relevant fields with programming skills.
- Other info: Diverse and inclusive culture that values your unique contributions.
The predicted salary is between 500 - 1500 £ per month.
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@ 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@ 2026 - Customer Facing Intern – Ai, Data Science & Risk Management in Marlow
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your passion for AI and data science. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 3
Showcase your skills! Create a portfolio of projects that highlight your programming abilities and understanding of data analysis. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team at SAS.
We think you need these skills to ace Careerstart@ 2026 - Customer Facing Intern – Ai, Data Science & Risk Management in Marlow
Some tips for your application 🫡
Show Your Passion: When you're writing your application, let your enthusiasm for AI, data science, and risk management shine through. We want to see that you're genuinely excited about the field and how it can impact businesses and consumers alike.
Tailor Your Application: Make sure to customise your application to highlight relevant experiences and skills that match the job description. We love seeing how your background in mathematics, statistics, or programming aligns with what we're looking for!
Be Clear and Concise: Strong communication skills are key, so keep your writing clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and potential.
Apply Through Our Website: Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
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 the latest trends and technologies in these fields, as well as the specific tools mentioned in the job description like SAS, Python, or SQL. This will show that you're genuinely interested and ready to contribute.
✨Show Off Your Communication Skills
Since strong communication is key for this role, practice articulating your thoughts clearly and confidently. Prepare to discuss your past experiences and how they relate to customer-facing roles. Use examples that highlight your ability to explain complex concepts in a simple way.
✨Demonstrate Your Curiosity
This position values curiosity and passion, so be ready to share what excites you about AI and data science. Think of questions you can ask during the interview that show your eagerness to learn and grow within the company. It’s all about showing that you’re not just looking for a job, but a chance to make an impact.
✨Be Yourself
SAS is all about authenticity, so don’t be afraid to let your personality shine through. Share your unique experiences and perspectives, and how they can add to the diverse culture at SAS. Remember, they want to see the real you, so relax and be genuine!
