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

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Software and Technology Jobs

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

full-timePosted: Jan 13, 2026

Job Description

As a 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 you’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
      Relevant practical experience through at least two internships 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 fieldProfound 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.You possess hands-on experience designing, developing, and deploying AI applications in operational or industrial environments (e.g., predictive maintenance, process optimization, IoT analytics).Strong hands-on expertise in Python and common ML / AI frameworks.Experience across the full data science lifecycle, including ML Ops.
    • 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.
    • Curiosity, willingness to learn, strong communication skills, and fluency 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.  

    FAQ  – if you need further information on the application process.  

    Locations

    • Munich, Bayern, Germany

    Salary

    Estimated Salary Rangemedium confidence

    85,000 - 150,000 EUR / yearly

    * This is an estimated range based on market data and may vary based on experience and qualifications.

    Skills Required

    • data scienceintermediate
    • data engineeringintermediate
    • cloud architectureintermediate
    • software engineeringintermediate
    • industrial AIintermediate
    • machine learningintermediate

    Required Qualifications

    • excellent university degree (master/diploma/PhD) in computer science, mathematics, physics, or related fields with strong background in data science, machine learning or data engineering (experience)
    • relevant practical experience through at least two internships in consultancy, renowned industrial or tech company, or start-up (experience)
    • proven track record of excellence in consulting (experience)

    Responsibilities

    • collaborate on cross-functional projects with consultants, domain experts, and clients
    • engage with clients to translate complex operational and business needs into project approaches and technical solutions
    • develop advanced AI models for 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
    • design overall architecture for industrial AI solutions
    • communicate results to stakeholders of all seniority levels
    • stay current with latest research and technology trends in Industrial AI, edge computing, and smart manufacturing
    • project-related travel and work at customer sites (manufacturing plants, energy facilities, smart infrastructure projects)

    Benefits

    • general: attractive remuneration package
    • general: access to Siemens share plans
    • general: 30 days of paid vacation
    • general: variety of flexible work schedules
    • general: 2 to 3 days of mobile working per week
    • general: flexible training opportunities for professional and personal development

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    Answer 10 quick questions to check your fit for Consultant – Artificial Intelligence & New Technologies (Data Science & Engineering) (f/m/d) @ Siemens.

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    Siemens logo

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

    Siemens

    Software and Technology Jobs

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

    full-timePosted: Jan 13, 2026

    Job Description

    As a 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 you’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
      Relevant practical experience through at least two internships 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 fieldProfound 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.You possess hands-on experience designing, developing, and deploying AI applications in operational or industrial environments (e.g., predictive maintenance, process optimization, IoT analytics).Strong hands-on expertise in Python and common ML / AI frameworks.Experience across the full data science lifecycle, including ML Ops.
    • 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.
    • Curiosity, willingness to learn, strong communication skills, and fluency 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.  

    FAQ  – if you need further information on the application process.  

    Locations

    • Munich, Bayern, Germany

    Salary

    Estimated Salary Rangemedium confidence

    85,000 - 150,000 EUR / yearly

    * This is an estimated range based on market data and may vary based on experience and qualifications.

    Skills Required

    • data scienceintermediate
    • data engineeringintermediate
    • cloud architectureintermediate
    • software engineeringintermediate
    • industrial AIintermediate
    • machine learningintermediate

    Required Qualifications

    • excellent university degree (master/diploma/PhD) in computer science, mathematics, physics, or related fields with strong background in data science, machine learning or data engineering (experience)
    • relevant practical experience through at least two internships in consultancy, renowned industrial or tech company, or start-up (experience)
    • proven track record of excellence in consulting (experience)

    Responsibilities

    • collaborate on cross-functional projects with consultants, domain experts, and clients
    • engage with clients to translate complex operational and business needs into project approaches and technical solutions
    • develop advanced AI models for 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
    • design overall architecture for industrial AI solutions
    • communicate results to stakeholders of all seniority levels
    • stay current with latest research and technology trends in Industrial AI, edge computing, and smart manufacturing
    • project-related travel and work at customer sites (manufacturing plants, energy facilities, smart infrastructure projects)

    Benefits

    • general: attractive remuneration package
    • general: access to Siemens share plans
    • general: 30 days of paid vacation
    • general: variety of flexible work schedules
    • general: 2 to 3 days of mobile working per week
    • general: flexible training opportunities for professional and personal development

    Target Your Resume for "Consultant – Artificial Intelligence & New Technologies (Data Science & Engineering) (f/m/d)" , Siemens

    Get personalized recommendations to optimize your resume specifically for Consultant – Artificial Intelligence & New Technologies (Data Science & Engineering) (f/m/d). Takes only 15 seconds!

    AI-powered keyword optimization
    Skills matching & gap analysis
    Experience alignment suggestions

    Check Your ATS Score for "Consultant – Artificial Intelligence & New Technologies (Data Science & Engineering) (f/m/d)" , Siemens

    Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

    ATS compatibility check
    Keyword optimization analysis
    Skill matching & gap identification
    Format & readability score

    Answer 10 quick questions to check your fit for Consultant – Artificial Intelligence & New Technologies (Data Science & Engineering) (f/m/d) @ Siemens.

    Quiz Challenge
    10 Questions
    ~2 Minutes
    Instant Score

    Related Books and Jobs

    No related jobs found at the moment.