Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our Product Lifecycle Management (PLM) software
About The Role
We are seeking a curious, driven, and hands-on Research Engineer to join our Business Analytics team focused on developing cutting-edge AI and data science solutions. You will play a key role in executing technology innovation initiativescontributing both individually and collaboratively with internal teams and external partners. This is an exciting opportunity to work on impactful research projects, transform ideas into working prototypes, and bring emerging technologies into real-world applications.
Key Responsibilities
- Design and implement data-driven solutions by applying machine learning models (especially classification and regression using techniques like XGBoost).
- Perform end-to-end data science workflows: data collection, preprocessing, EDA, modeling, validation, and deployment.
- Build and maintain RESTful services and APIs using FastAPI for model inference and data processing.
- Develop interactive dashboards using Power BI or R Shiny to present data insights and model outputs.
- Contribute to developing LLM-based applications and AI Agents involving various techniques such as RAG.
- Integrate solutions with traditional and vector database systems (e.g., ClickHouse, Weaviate).
- Participate in internal research projects and collaborations with external stakeholders.
- Transfer research results into actionable tools for product and service teams.
- Support and coach junior team members or visiting interns.
- Present research outcomes in internal and external forums, including Learning Days and project meetings.
Required Skills & Experience
- 24 years of hands-on experience in data science, machine learning, or AI application development.
- Proficiency in Python; working knowledge of R is a strong advantage.
- Experience with FastAPI and building REST APIs.
- Solid grasp of machine learning fundamentals, especially classification and regression models.
- Strong capabilities in data analysis, feature engineering, and model evaluation.
- Basic understanding of frontend technologies like HTML, CSS, and JavaScript.
- Familiarity with business intelligence tools like Power BI and/or R Shiny.
- Working knowledge of LLMs, AI agents, and related technologies is desirable.
- Understanding of relational and vector databases and integrating with APIs/services.
- Education: Bachelors degree in Computer Science or related field
Soft Skills & AttributesProven problem-solving and critical thinking abilities.Creative and resourceful with a passion for research and innovation.Strong business analysis and communication skillsable to explain complex concepts clearly to diverse audiences.Excellent time management, organization, and a proactive mindset.A team player who also thrives when working independently.Open to feedback, vocal about ideas, and collaborative in approach.We are SiemensA collection of over 377,000 minds building the future, one day at a time in over 200 countries. We&aposre dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow! We offer a comprehensive reward package which includes a competitive basic salary, bonus scheme, generous holiday allowance, pension, and private healthcare.
Siemens Software.
Transform the Everyday with Us
Please note that, due to the current integration framework, this opportunity is currently available exclusively to employees of Altair and DISW. While there is a possibility that the position may be made available to all Siemens employees through a future external posting, this is not guaranteed. We appreciate your understanding and cooperation during this transitional period. This communication does not constitute a promise or guarantee of future employment opportunities beyond the current scope.
