Dualer Masterstudent (m/w/d) - Data & AI Specialist
Siemens
Job Description
Job ID
Company
Organization
Job Family
Experience Level
Full Time / Part Time
Contract Type
Mode of Employment: Limited, full time
Start your career with an exciting thesis! As part of our dynamic team, you will work on pioneering projects and can put your theoretical knowledge directly into practice.
The role sits at the forefront of the Siemens corporate security department’s ongoing transformation leveraging data and AI to ensure the continued security of the company’s people, assets and know how. We are looking for an aspirational data and AI professional who is keen to study and gain professional experience through our unique and impactful work within Siemens.
Your role
- Help us to develop and deliver data and AI strategies that align with our transformational goals to deliver greater strategic value and measurable impact
- Complementary distance learning in Digital Business & AI (MBA) at “Friedrich-Alexander-University” (FAU Erlangen-Nuremberg)
- Coordinating the day-to-day activities of the Data Hub team within Siemens’ corporate security department, ensuring that data and AI help us to keep Siemens’ 250,000 employees safe
- Staying at the forefront of AI innovation, including emerging technologies like agentive AI, large language models, and autonomous systems, driving our adoption of AI systems and initiatives
- Communicating between technical and corporate security specialists on a variety of topics, translating requirements into clear actions
- Encouraging a culture of data-driven decision making through well governed data and useful data visualisations and analytics
What we can offer
- Meaningful work which delivers visible impact to Siemens’ business operations and strategies in an increasingly volatile world
- Hands-on experience within the unique field of corporate security, learning from intelligence professionals, security experts and former government security leaders
- Varied work and challenges. No day is the same; your contributions and initiative will help us problem solve and deliver data and AI transformation
- A diverse, open and dedicated team culture in a silo and hierarchy breaking squad format
- The chance to study and gain experience at the same time, providing a great start to any career
- Options to work alongside other Siemens departments, including with our many technology, data and AI experts across the company
What you’ll bring with you
- Bachelor’s degree in computer science, Data Science, Artificial Intelligence, Business, or a related field
- Proficiency in the use of python, SQL and / or other relevant programming languages
- Strong data visualisation skills, particularly using Tableau and / or Microsoft PowerBI
- Excellent communications and people skills with the ability to work with technical and non-technical team members and stakeholders
- Strong interest within the topics of data and AI
- Strong organisational and coordination skills
- Excellent written and spoken English, German language skills are a strong advantage for this role
You are much more than your qualifications, and we believe in the potential of every single candidate. We look forward to getting to know you!
Your individual personality and perspective are important to us. We create a working environment that reflects the diversity of the society and support you in your personal and professional development. Let’s get to know your authentic personality and create a better future together with us. As an equal-opportunity employer we are happy to consider applications from individuals with disabilities.
About us
As a leading technology company, Siemens offers you excellent opportunities to write your bachelor's or master's thesis in an innovative and practical environment. Are you nearing the end of your studies and looking for an interesting topic for your bachelor's or master's thesis? Then you are in the right place with us!
www.siemens.de/careers – if you would like to find out more about jobs & careers at Siemens.
FAQ – if you need further information on the application process.
If you have more questions please contact: www.siemens.de/fragenzurbewerbung
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