Auf einen Blick
- Aufgaben: Lead AI/GenAI projects and workshops, develop solutions, and train users.
- Arbeitgeber: Syntax is a top Managed Cloud Provider for enterprise applications since 1972.
- Mitarbeitervorteile: Enjoy flexible work options, competitive pay, and great perks like health benefits.
- Warum dieser Job: Join a dynamic team driving innovation in AI and data science with global impact.
- Gewünschte Qualifikationen: Degree in relevant fields and 3-5 years of data science experience required.
- Andere Informationen: Work remotely or in our Weinheim office; travel to client sites may be needed.
Das voraussichtliche Gehalt liegt zwischen 54000 - 84000 € pro Jahr.
Syntax is a leading Managed Cloud Provider for Mission Critical Enterprise Applications and has been providing comprehensive technology solutions to businesses of all sizes since 1972. Syntax has undisputed strength to implement and manage ERP deployments (Oracle, SAP) in a secure and resilient private, public or hybrid cloud. With strong technical and functional consulting services, and world-class monitoring and automation, Syntax serves some of North America’s largest corporations across a diverse range of industries. Syntax has offices worldwide, and partners with Oracle, SAP, AWS, Microsoft, IBM and other global technology leaders.
Remote, hybrid or in our office in Weinheim
Do you share our passion for consulting and appreciate short decision-making processes, a strong hands-on mentality and a lot of personal responsibility? Then join Syntax and look forward to working on innovation projects in the Advanced Analytics & Data Science team. Our Advanced Technology Center of Excellence drives innovation in Generative AI (GenAI) and AI to accelerate the digital transformation of our clients.
Your responsibilities
- Implementation of AI/GenAI use case exploration workshops
- Development of technical solution architectures for AI/GenAI use cases
- Execution of customer projects for the implementation of AI/GenAI solutions
- Further development of our data science and AI/GenAI solutions and strategy
- Communication with the customer during the project phase (virtual or on-site)
- Management of data science and AI/GenAI customer projects
- Training users and supporting them in the use of data science and AI/GenAI solutions
Your profile
- Degree in computer science, data science, business informatics, mathematics, technical cybernetics or a comparable field of study
- Work experience of at least 3-5 years in the field of data science, practical experience with GenAI an advantage
- Knowledge of Python, SQL and TensorFlow is an advantage
- Passion for new technologies and innovations
- Customer-oriented and sales-oriented thinking, strong communication skills
- Very good German and English skills
- Innovative strength: forward thinking to turn emerging trends into opportunities
- Global mindset: You enjoy working in a global, international team.
- Willingness to travel: You also enjoy being on site at the customer’s premises.
Why Syntax?
- Competitive, above-average compensation
- Global tourist: With us, you can also work from abroad from time to time
- Flexible working time models, home office
- Attractive benefits, e.g. company pension scheme or various health offers
- A modern environment in which the „you“ is part of it
- Open feedback culture, flat hierarchies and a motivated team
- Individual career planning with continuous training and coaching on the job
You see a personal challenge in this responsible task? Apply now – and become part of the SYNTAX team!
Functional Area: Remote#J-18808-Ljbffr
(Senior) Consultant (m/f/d) Data Science & GenAI Arbeitgeber: Syntax
Kontaktperson:
Syntax HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: (Senior) Consultant (m/f/d) Data Science & GenAI
✨Tip Number 1
Familiarize yourself with the latest trends in AI and Generative AI. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Highlight your experience with customer projects, especially those involving data science and AI solutions. Be prepared to share specific examples of how you managed these projects and the impact they had on clients.
✨Tip Number 3
Showcase your technical skills in Python, SQL, and TensorFlow. If you have any relevant projects or contributions to open-source initiatives, mention them to illustrate your hands-on experience.
✨Tip Number 4
Emphasize your ability to work in a global team and your willingness to travel. Share experiences where you successfully collaborated with international teams or adapted to different cultural environments.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: (Senior) Consultant (m/f/d) Data Science & GenAI
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the (Senior) Consultant position at Syntax. Understand the key responsibilities and required skills, especially in AI/GenAI and data science.
Tailor Your CV: Customize your CV to highlight relevant experience in data science and AI/GenAI. Emphasize your technical skills in Python, SQL, and TensorFlow, as well as any project management experience.
Craft a Compelling Cover Letter: Write a cover letter that reflects your passion for consulting and innovation in technology. Mention specific projects or experiences that demonstrate your ability to implement AI solutions and communicate effectively with clients.
Highlight Your Global Mindset: In your application, showcase your willingness to work in an international team and your readiness to travel for client projects. This aligns with Syntax's global approach and enhances your candidacy.
Wie du dich auf ein Vorstellungsgespräch bei Syntax vorbereitest
✨Show Your Passion for AI and Data Science
Make sure to express your enthusiasm for new technologies, especially in the field of AI and GenAI. Share specific examples of projects you've worked on or innovations you've implemented that demonstrate your commitment to this rapidly evolving area.
✨Highlight Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and TensorFlow. Provide concrete examples of how you've used these tools in past projects, particularly in relation to data science and AI solutions.
✨Demonstrate Customer-Oriented Thinking
Since the role involves communication with customers, showcase your ability to understand client needs and translate them into actionable solutions. Prepare to discuss how you've successfully managed customer projects in the past.
✨Prepare for a Global Mindset
As Syntax operates internationally, be ready to talk about your experiences working in diverse teams and your willingness to travel. Highlight any previous roles where you collaborated with global teams or adapted to different cultural contexts.