Job
- Level
- Junior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Internship / school internship
- Location
- Munich
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you assist in national and international AI and data analytics projects, optimize data processes, develop machine learning models, and visualize results in dashboards.
Job Technologies
Your role in the team
- You support our teams in national and international client projects in the fields of AI, Data Analytics, and Digital Transformation, taking early responsibility in challenging projects.
- You analyze and optimize data processes, conduct structured data analyses and quality assurance tests, and ensure high data quality.
- You develop and implement data- and AI-based solutions, such as machine learning models, LLM applications, or tracking and automation concepts.
- You visualize results in dashboards and management presentations and derive well-founded recommendations for action.
- You work closely with interdisciplinary teams from Data, Tech, Marketing, and Strategy, and support workshops, training sessions, as well as the development of best practices.
- You research current trends in the AI and Data sector and prepare relevant insights in a structured manner.
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Our expectations of you
Qualifications
- You are studying Computer Science, Data Science, Mathematics, Statistics, Business Administration, or a related field with a focus on Data or AI, with very good results.
- You are characterized by strong analytical thinking skills and are interested in data-driven business models as well as digital transformation processes.
- You possess a fundamental understanding of visualization tools, modern AI technologies, or web and tracking technologies.
- You work in a structured, detail-oriented, and independent manner, and you are able to communicate and present complex content clearly and understandably.
- You speak fluent English; additional location-specific language skills are an advantage.
Experience
- You have already gained some practical experience in data analysis and ideally possess knowledge of SQL, Python, as well as basic statistical or machine learning methods.
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What we offer
- Your impact is crucial: You actively shape the digital future within a highly motivated and smart team, working closely with the founders and partners, and create real added value through the successful integration of strategy and implementation.
- Your efforts pay off! You benefit from attractive salary packages, participation in sales success, and exclusive investment opportunities.
- Additionally, we promote our top talents through the 'Digital Leaders of Tomorrow' program and thus offer you further exciting benefits.
- Your learning - our concern: From day one, you will be supported by a variety of development opportunities on your journey, quickly take on responsibility, and have the chance to shape your individual career with us - with us, you will become a digital leader!
- Your work environment: You will immerse yourself in a diverse and family-friendly setting, characterized by a strong team spirit, and benefit from a flexible and hybrid working model at one of our offices in Munich, London, Amsterdam, Milan, and Berlin.
- Your view of the future: You work at the cutting edge and gain valuable insights and practical experience with a focus on digital business models and data-driven value creation in eight forward-looking industries.
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Benefits
Health, Fitness & Fun
Topics that you deal with on the job
Job Locations
This is your employer
Ommax Digital Solutions
OMMAX – Digital Solutions is a rapidly growing European consultancy that specializes in digital M&A transactions, strategy consulting, and sustainable digital value creation. Our team of experts provides tailored solutions to help companies with their digital transformation and achieving their business goals.
Description
- Company Type
- Digital Agency
- Working Model
- Hybrid, Onsite
- Industry
- Consulting
Internal AI Strategy & Data Innovation
- Location
- Munich
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
