At a Glance
- Tasks: Join our AI Frontrunner team to develop innovative AI prototypes and research emerging technologies.
- Company: SAP, a global leader in business software and technology solutions.
- Benefits: Flexible working models, continuous learning, and a supportive team culture.
- Other info: Be part of an inclusive culture that values diversity and personal development.
- Why this job: Make a real impact in AI innovation while growing your skills in a dynamic environment.
- Qualifications: Passion for AI, machine learning, and a proactive, team-oriented mindset.
The predicted salary is between 72000 - 88000 £ per year.
We help the world run better. At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritise your wellbeing, and truly belong.
What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
What you'll build
As a part of our Business AI Frontrunner team, you'll contribute to real AI innovation projects alongside experienced data scientists, engineers, and product experts. You can expect tasks such as:
- Supporting the design and hands-on development of AI prototypes, including experiments with multi-agent system architectures and leveraging agent harnesses.
- Researching and evaluating emerging AI technologies, with a focus on future applicability — including their fit and use in SAP’s Autonomous Enterprise.
- Helping prepare, document, and follow up on client workshops, expert presentations, and internal knowledge sessions.
- Creating informational materials, summaries, and knowledge-sharing content to support the team's communication across projects and stakeholders.
- Assisting with project coordination tasks, including preparing meeting materials and tracking cross-functional topics.
As a fully-fledged member of a highly motivated international team, you'll gain hands-on experience at the intersection of cutting-edge AI research and real business impact.
What you bring
- First practical experience or strong academic interest in AI, machine learning, large language models, or data science.
- Curiosity about emerging technology trends and a proactive, self-driven working style.
- Language skills: Fluent in English and German.
- Soft skills: Independent working style, willingness to take ownership, team player mindset, openness to sharing knowledge and learning continuously.
Where you belong
Our Business AI Frontrunner team is an international group of Product experts, Engineers, Data Scientists, and Architects within the SAP Platform and AI area. We evaluate new AI technologies and frameworks together with tech and application teams, and solve real business problems for SAP customers by contributing early-stage products and features across SAP's line-of-business portfolio. We enjoy getting our hands dirty with code, expanding our horizon with business and technical challenges, and collaborating across team boundaries. We work with agile methods, believe in an open feedback culture, and continuously improve the way we work together.
Bring out your best
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development.
We win with inclusion
SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realise their full potential. We ultimately believe in unleashing all talent and creating a better world.
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities.
Junior Specialist AI Innovation Frontrunner in London employer: SAP
At SAP, we pride ourselves on being an exceptional employer that fosters a culture of innovation and inclusivity. As a Solution Advisor Expert in S/4HANA Finance, you will benefit from continuous learning opportunities, a supportive team environment, and the chance to make a significant impact across diverse industries. Our commitment to employee wellbeing and professional growth ensures that you can thrive both personally and professionally while contributing to meaningful projects that shape the future of global commerce.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Specialist AI Innovation Frontrunner in London
✨Get Involved in Data Challenges
Participate in data challenges like Kaggle competitions or DrivenData to showcase your skills and network with other data enthusiasts. Not only will you build your portfolio, but you can also catch the eye of potential employers like SAP.
✨Connect with Local Data Communities
Join local data science meetups or online communities like Data Science Society to engage with professionals in the field. These platforms are great for networking, discovering job opportunities, and keeping your fingers on the pulse of industry trends.
✨Leverage Your University’s Resources
If you're still in university, make full use of your career services. They might have part-time roles tailored for students like you, and often have direct connections with companies looking to hire talented interns in data science roles.
✨Apply Directly Through Our Website
Don’t forget to check out our jobs at SAP and apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate individuals like us who are eager to make an impact in the data science world.
We think you need these skills to ace Junior Specialist AI Innovation Frontrunner in London
Some tips for your application 🫡
Show Your Data Skills:In your CV, make sure to highlight your proficiency with key data analysis tools and programming languages like Python, R, or SQL. We want to see that you've got hands-on experience with data manipulation and visualisation, so if you've worked on any relevant projects or coursework, include those details to really showcase your skills!
Tailor Your Projects Towards Data Science:When it comes to your portfolio, focus on showcasing projects that highlight your data-science abilities. Include analyses, dashboards, or any predictive models you've built. If you've contributed to Kaggle competitions or have a GitHub repository with data projects, make sure to link those—these demonstrate your practical experience and problem-solving abilities.
Express Your Motivation in the Cover Letter:Since this is a part-time role, we want to know why you're particularly interested in juggling this with your other commitments. Use your cover letter to express your passion for data science and how this role at SAP aligns with your career aspirations. Show us you're excited about learning and growing with us!
Keep It Concise Yet Informative:Part-time positions often receive many applications, so keep your documents clear and to the point! Aim for a concise CV detailing your relevant experiences without unnecessary fluff. Be sure to include your availability in your cover letter as well—that helps us in the decision-making process!
How to prepare for a job interview at SAP
✨Brush Up on Your Stats!
Given you're eyeing a part-time role in data science, make sure you’re on top of your statistical methods and data analysis techniques. Expect questions around regression, hypothesis testing, and maybe even some statistical programming languages like R or Python during the interview with SAP.
✨Show Off Your Projects!
It's crucial to have a portfolio that showcases your data science projects. Highlight your part-time work with specific data sets, models you've built, or analyses you've conducted. Having tangible examples will demonstrate your hands-on experience and problem-solving skills to SAP.
✨Familiarise Yourself with Tools of the Trade
Make sure you’re well-versed in data science tools like Jupyter Notebook, Tableau, or SQL. You might get technical questions or even a practical test at SAP, so having a comfort level with these tools will definitely be an advantage.
✨Be Ready to Discuss Real-World Applications
Since this is a part-time role, employers at SAP will likely appreciate your understanding of how data science can address actual business problems. Be prepared to discuss any relevant case studies or how you would approach specific challenges in real scenarios.
