Senior Consultant – Artificial Intelligence & New Technologies (data Science & Engineering) (f/m/d)

München, BY, DE, Germany

Job Description

Job ID

488922

Posted since

19-Dec-2025

Organization

Advanta

Field of work

Strategy

Company

Siemens AG

Experience level

Experienced Professional

Job type

Full-time

Work mode

Hybrid (Remote/Office)

Employment type

Permanent

Location(s)

Munich - Bayern - Germany As a

Senior Consultant – Artificial Intelligence & New Technologies (Data Science & Engineering) (f/m/d)

, you focus on developing and operationalizing advanced AI models for complex industrial use cases.



What we offer you



An attractive remuneration package Access to Siemens share plans 30 days of paid vacation and a variety of flexible work schedules that allow time off for you and your family 2 to 3 days of mobile working per week as a global standard Flexible training opportunities for both your professional and personal development that you can tailor to your interests

Since each of over 300,000 team members feels that other benefits are particularly important, and we cannot list our entire benefit portfolio here, you can find more information here.


The individual benefits are subject to regulatory, contractual, or corporate conditions.

How y

ou’ll make an impact




We are looking for consultant who is passionate about applying AI to real-world operational challenges.Collaborate on

cross-functional projects

with consultants, domain experts, and clients, to set the foundational layer for AI transformation and build scalable and reliable AI applications in critical industrial areas such as Predictive Maintenance, Visual Quality Inspection, Process Optimization, Digital Twins, Industrial IoT analytics, and Generative AI for engineering and manufacturing workflows.

Engage with clients

to translate complex operational and business needs into project approaches, technical solutions, and develop advanced AI models for the analysis of large-scale and high-dimensional industrial data (e.g., sensor data, machine logs, production parameters).

Take ownership of software

components, making them reliable and scalable within OT/IT integrated environments, and help design the overall architecture for industrial AI solutions.

Communicate

results to stakeholders of all

seniority levels

– from top management to plant operators & end users – ensuring clear understanding of AI's impact on industrial processes.

Stay current with the latest research and technology trends

in Industrial AI, edge computing, and smart manufacturing to build state-of-the-art data-driven solutions.

Enjoy project-related travel and work

on exciting challenges at our customer’s sites, often within manufacturing plants, energy facilities, or smart infrastructure projects.

Your defining qualities



Education

+ An excellent university degree (master/diploma/PhD) in computer science, mathematics, physics, or related fields with a strong background in data science, machine learning or data engineering.

Experience & Skills

+ At least 3 years of professional experience in data science or ML-focused roles.
+ You need to be able to apply your hands on experience from conceptual stage to ML/Ops. Consult and implement LLM and machine learning frameworks, interpret and benchmark, evaluate and tune algorithms to create best possible solutions for real business problems.
+ Strong hands-on expertise in Python and common ML / AI frameworks.
+ Experience across the full data science lifecycle, including ML Ops.
+ Curiosity, willingness to learn, strong communication skills, and fluency in English.
+ A minimum of 3 years of practical experience in a consultancy, a renowned industrial or tech company, or a start-up and a proven track record of excellence in consulting with data science, data engineering and cloud architecture, software engineering, industrial AI, or a related field.
+ Profound knowledge of core data science & machine learning programming languages (Python), Data Warehousing & Engineering (Focus Snowflake) and Cloud Platform Expertise (Focus Azure).
+ A high degree of curiosity, willingness to learn and innovate, social skills and team spirit as well as communication skills in English.

Ways of working

+ You enjoy project-related travel and work on exciting challenges at our customer’s sites, often within manufacturing plants, energy facilities, or smart infrastructure projects.


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!


At Siemens, we believe that feeling valued and included is the foundation for doing great work. That’s why we aim to create an inclusive workplace where everyone feels a sense of belonging, and where individual perspectives and experiences are celebrated. Our commitment to fairness and respect extends to every applicant.


As an equal opportunity employer, we welcome applications from individuals of all backgrounds and particularly encourage applications from persons with disabilities.

About us




Are you looking for an opportunity to share/contribute your expertise while advancing your career?


At Siemens Advanta, you can become part of a forward-thinking/future-oriented team dedicated to guiding clients through their unique digital and sustainability transformation journeys. With our end-to-end solutions, we provide strategic advice and are a trusted implementation partner for digital and sustainability transformations at the enterprise level. By leveraging the power of Siemens businesses and its partners, we as Siemens Advanta help customers unlock the full value of Siemens technologies across their entire value chain. Headquartered in Munich, Germany, we have a global network of around 1,000 employees in 18 countries and 47 offices.


Are you ready to transform the everyday with us?


Find out more about our innovations and team: https://www.siemens-advanta.com/


www.siemens.de/careers – if you would like to find out more about jobs & careers at Siemens.


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Job Detail

  • Job Id
    JD4072581
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Vollzeit
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    München, BY, DE, Germany
  • Education
    Not mentioned