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ININVENSITY logo

INVENSITY

München (Hybrid)

Data Science Consultant (all genders).

FULL TIMEHYBRIDDATA & ML

Welcome

Do you want to create real impact with Data Science in technologically demanding projects? Then INVENSITY is the right place for you. As an international technology consultancy, we support our customers in solving complex technical challenges through data-driven approaches and in advancing innovative systems. 

Your contribution: Using smart models and well-founded analyses, you will support technical decision-making processes in the aerospace and defense sectors, thereby creating the foundation for high-performance, secure, and future-oriented solutions.

What can you expect?

  • Data analysis and validation: Clean and validate complex datasets using statistical and stochastic models to ensure high data quality
  • Algorithm development: Design and develop complex algorithms for the analysis of very large datasets
  • Graph Data Modeling and Data Integration: Develop and maintain data models based on graph databases, analyze complex relationship structures in large datasets, and support the integration and processing of non-relational data
  • Data-driven system optimization: Develop data-driven strategies to ensure and continuously improve the functionality, performance, and safety of highly complex systems
  • Coordination and stakeholder management: Act as an interface between technical teams, project management, and customers
  • Interdisciplinary collaboration: Work in agile and interdisciplinary teams – both internally at INVENSITY and on-site at the customer
  • Knowledge sharing and mentoring: Share your expertise in workshops, coaching sessions, and projects while also learning from other experts
  • Personal and professional development: Grow in a technologically leading environment, build strong networks, and drive innovation across a wide range of industries

Your profile

  • Degree in Physics, Mathematics, Computer Science, Data Science, Electrical Engineering, Statistics, or related fields
  • Professional experience in Data Science, Data Engineering, or Data Analytics
  • Strong knowledge of and hands-on experience in processing large datasets, as well as a solid understanding of statistical structures
  • Very good knowledge of Python
  • Proficiency in working with graph databases (e.g., Neo4j) and non-relational database systems (NoSQL)
  • Experience in modeling, analyzing, and querying complex data relationships within graph-based data structures
  • Experience with technologies such as Kubernetes, Jenkins, Apache Spark, or Apache Airflow is a plus
  • Willingness to travel for national customer projects
  • Business-fluent German and fluent English skills

What are your benefits?

  • Welcome to the team! To help you get off to a great start, we support you with a structured onboarding program together with other new joiners
  • Steep learning curve through diverse tasks in an innovative environment with a wide variety of projects across different industries and customers
  • Personal and professional development through individual mentoring and coaching, ACADEMY training sessions, and a strong feedback culture
  • Unique atmosphere and appreciative company culture through monthly office events, an informal “du” culture, fast communication channels, and working toward shared goals
  • Global network through collaboration with experts at our international locations
  • Work-life balance through permanent contracts, individual working time models in full-time or part-time, flexible working hours, home office options, and sabbaticals
  • Attractive career opportunities through transparent career paths, including early responsibility and international career options
  • Performance-based compensation package with fixed and variable components
  • We cover your commuting costs: possibility of a BahnCard 50 subsidy

Good to know

Type of position: Permanent position, open-ended
Place of work: hybrid (homeoffice and on-site)

Your contact person

Sinja Seyfert
sinja.seyfert@invensity.com
+49 172 624 714 6
Pay
Not stated
Where
München (Hybrid) · Stuttgart (Hybrid)
Work
Hybrid
Type
Full time
Posted
28 Mar, 2025
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