consultant data science credit risk (m/w/d) in münchen

senior ai & data platform engineer (f/m/x)

member of technical staff, product (ai agents)

(junior) cloud site reliability engineer (network) (m/f/x)

(senior) engineer, software ivv test & integration, iris2

(senior) fullstack engineer (typescript) - client success platform (m/f/x)

applied ai engineer

consultant data science credit risk (m/w/d) in münchen Jobs in Munich

data scientist (all genders) Jobs in Munich

data scientist (all genders)

principal applied scientist (f/m/d) Jobs in Munich

principal applied scientist (f/m/d)

senior ai & data platform engineer (f/m/x) Jobs in Munich

data scientist

THE MARCOM ENGINE

<div><p>We are looking for a Data Scientist (all genders) to join THE MARCOM ENGINE (part of the Serviceplan Group) in Munich at the earliest possible start date in full-time.
<br>
<br>
In this role, you&rsquo;ll be part of a multidisciplinary team bridging data science, strategy, and automation and contribute to exciting projects at the forefront of digital transformation, working on innovative consumer insights initiatives and personalization measures for globally recognized brands.
</p><b>What you can expect:</b>
<ul><li>Develop and implement machine learning models and algorithms
</li><li>Conduct data analysis to identify patterns, trends and insights
</li><li>Participate in projects related to data and processing for AI Agents
</li><li>Work closely with internal and client stakeholders to formulate data-driven solutions
</li><li>Validate models and interpret results by performing statistical analysis and hypotheses
</li><li>Stay updated with the latest developments and best practices in data analytics and data science
</li><li>Ensure maintenance of data science model and process documentation
</li><li>Apply machine learning and automation to scale analyses and accelerate insights
</li><li>Create advanced analytical models that demonstrate how marketing contributes to business growth&mdash;from media effectiveness to customer lifetime value
</li><li>Work in a multidisciplinary team across data science, strategy, and automation to advance data-driven marketing measurement and optimization
</li></ul><b>What we expect from you:</b>
<ul><li>A completed degree in a quantitative, analytical, or business-related field (e.g. Data Science, Statistics, Mathematics, Computer Science, Business Informatics) or a comparable qualification
</li><li>Several years of experience as a Data Scientist or Marketing Analyst, ideally with a strong focus on statistical modeling and marketing analytics, preferably in an agency or dynamic environment
</li><li>Excellent Python skills and experience with relevant libraries
</li><li>Excellent knowledge in handling data queries and confidence handling different data types (SQL, Redshift, PostgreSQL)
</li><li>Experience applying machine learning and automation to accelerate analytical workflows
</li><li>Familiarity with cloud environments such as GCP, AWS, or Azure, as well as visualization tools like Quicksight, Tableau, Power BI, or Looker
</li><li>Ability to translate complex statistical findings into clear, strategic insights
</li><li>Experience with Digital Analytics platforms or Marketing campaign data
</li><li>Excellent communication skills in English and German
</li><li>Curiosity, initiative, and a collaborative mindset
</li><li>Knowledge of information security and awareness of information security principles
</li></ul><b>What we offer:</b>
<ul><li><b>Onboarding: </b>Welcome round, digital onboarding day, newcomer coffee and newcomer round - we'll make sure your start is perfect continuing.</li><li><b>
Education: </b>Your development is important to us. Whether through our internal campus training program, voluntary language courses or regular coaching - we keep you up to date!</li><li><b>
Flexibility</b>: Flexible working hours, mobile office and job sharing models allow you to adapt your job to your life - and not the other way around.</li><li><b>
Fun: </b>If you work, you also have to take a break. Whether it's partying or working out - with us, you'll have plenty of opportunities thanks to regular after-work events and agency-sponsored fitness programs.</li><li><b>
Location: </b>Our modern office in Munich&rsquo;s creative district is easy to reach thanks to its convenient location.</li><li><b>
Internationality:</b> As an internationally operating agency group, we offer you the opportunity to network and exchange ideas with colleagues from different disciplines all over the world.</li></ul></div>

Data Scientist (all genders)

AutoScout24

<div><div><div><div><div><div><div><div><div><p>A career driven by you. Join <b>AutoScout24 Group</b> and experience life in the fast lane. We're not just leading the market; we're creating it. We're constantly innovating, evolving and transforming things for our customers. We're driven, ambitious and determined to do our best work, together. For a career that doesn't stand still, where you can put your ideas in the driving seat and change the way the world moves, join our international community.</p>
<p>
As <b>Senior Data Scientist</b>, you will be key contributor within our global Data Science organization, shaping AI and machine learning systems that sit at the core of our marketplace platforms across Europe and Canada.</p>
<p>
You design, build, and operate machine learning and GenAI systems that run in production and matter to the business. You work on complex, ambiguous problems, exercise strong technical judgment, and take responsibility for outcomes - not just models. While this is a hands-on role, you are also expected to influence technical direction, raise the bar for engineering practices, and enable other data scientists and engineers to succeed. This position is permanent and based in Munich.</p>
<p><b>
What </b><b>you'll</b><b> do</b></p>
<ul>
<li>Own ML and GenAI systems end-to-end in production, including problem framing, system design, deployment, monitoring, and continuous improvement</li>
</ul><ul><li>Make sound architectural and methodological decisions for ML systems on AWS, balancing robustness, observability, cost, and long-term maintainability</li>
</ul><ul><li>Partner closely with Product, Engineering, and Business leaders to turn ambiguous problems into ML-enabled product solutions with clear outcomes</li>
</ul><ul><li>Operate and evolve ML systems deployed across multiple countries and markets, accounting for differences in data distributions, regulations, and constraints</li>
</ul><ul><li>Mentor other data scientists through hands-on technical guidance, design reviews, and shared ownership of systems</li>
</ul>
<p><b>What </b><b>you'll</b><b> need</b></p>
<ul>
<li>Advanced degree in Computer Science, Engineering, Mathematics, or a comparable field</li>
</ul><ul><li>5+ years of experience building and owning production ML systems end-to-end in a real-world environment</li>
</ul><ul><li>Strong hands-on expertise in Python and modern ML frameworks, with the ability to ship, operate, and evolve ML systems in production</li>
</ul><ul><li>Solid experience with AWS and MLOps practices, including deployment, monitoring, and operating ML systems at scale</li>
</ul><ul><li>Practical experience applying GenAI / LLMs in applied or production contexts, with a clear understanding of trade-offs and limitations</li>
</ul><ul><li>Ability to influence technical decisions through clear judgment and collaboration, not formal authority</li>
</ul><ul><li>Experience supporting and guiding more junior data scientists through hands-on collaboration, code reviews, and technical feedback</li>
</ul><ul><li>Strong sense of ownership and accountability for outcomes, with a pragmatic approach to trade-offs and delivery</li>
</ul>
<p><b>WHY Autoscout24</b></p>
<p><b>
A culture of growth. </b>With over 50 nationalities represented, we're proud to welcome people of all backgrounds to our growing community, and we're always finding new ways to help people feel welcomed and included. Here, you'll have the tools, training and support you need to work in a way that suits you, learn new skills and reach your potential.</p>
<p><b>
For a career where you can drive our business and shape your future, apply now.</b></p></div></div></div></div></div></div></div></div></div>

Senior Data Scientist (m/f/d)

Skalar

<div><p>Build our core AI capabilities from v1 -&gt; v10. Join the early core team of experienced entrepreneurs (scaled to millions of users, $100m+ exits). Build the future of tax &amp; accounting with AI. Build our internal AI agents, influence the AI stack, and lay the foundations for scale. Grow into leadership as we expand across countries. Above-market pay + meaningful equity.</p>
<p><b>
The opportunity</b></p>
<p>
How taxation, accounting and payroll work today is a pain for everyone. Still every business must do it continuously. It is the backbone that our economy runs on.</p>
<p>
Enabled through AI, we are turning this often-painful process into a radically simple experience for our customers, so they can focus on what matters to them: growing their business.</p>
<p><b>
About us</b></p>
<p>
We are a team of experienced entrepreneurs who have scaled businesses to 10s of millions of users, 10s of millions in revenue, multiple countries, and 9-digit exits - and we are just getting started. We are backed by leading venture investors and expanding rapidly.</p>
<p><b>
The role</b></p>
<p>
As our first Senior Data Scientist, you&rsquo;ll be a core part of building the intelligence behind Skalar. We are past the initial founding phase, but we are still very, very early - meaning pretty much everything you touch will involve greenfield building. While we provide a world-class professional service to our customers, automation and AI are at our core. Your work will be the driving force behind automating complex internal tax operations (TaxOps) and building intelligent agents that offer radical simplicity to our team and our customers.</p>
<h2 class="jobSectionHeader"><b>
Aufgaben</b></h2>
<ul><li><b>0 </b><b> 1 and Beyond:</b> Take major AI features and intelligent agents end-to-end (spec  ship  measure), working closely with our Business Automation Managers and Tax experts.</li>
<li><b>Core AI Architecture:</b> Implement robust LLM integrations, RAG pipelines, data models, and prompt management systems; make pragmatic architecture choices with high autonomy.</li>
<li><b>Iterate Fast:</b> Ship AI features fast and iterate quickly based on real user feedback from our internal operations team.</li>
<li><b>Leadership:</b> Hire and mentor junior engineers (if interested); gain leadership experience as we grow.</li>
</ul>
<p><b>Our tech stack (greenfield)</b></p>
<ul>
<li>Prefer boring tech where it matters; innovate where it differentiates (especially in AI).</li>
<li>Current product tech stack (to evolve): TypeScript, Next.js (React), PostgreSQL. You will heavily influence our AI stack (e.g., LangChain/Vercel AI SDK, Vector DBs).</li>
<li>You&rsquo;ll have a strong influence on tech, cloud, and product choices, specifically regarding LLM integration.</li>
<li>Tooling budget for whatever makes you fast. No legacy, no yak‑shaving.</li>
</ul><h2 class="jobSectionHeader"><b>Qualifikation</b></h2>
<ul><li>5+ years of software engineering experience, with a standout, recent focus on applied generative AI.</li>
<li>A bachelor&rsquo;s or master&rsquo;s degree in computer science or a related field</li>
<li>Deep hands-on experience with LLM APIs (such as OpenAI, Anthropic, Gemini), agentic frameworks, and building robust RAG pipelines.</li>
<li>Strong programming skills in Python and curiosity to learn across the stack.</li>
<li>Solid understanding of vector databases (e.g., pgvector, Pinecone) and comfort with cloud basics (AWS/GCP, Docker).</li>
<li>Very good written and verbal communication skills in English and German (min. C1)</li>
<li>You have a valid work permit to work in Germany</li>
</ul><h2 class="jobSectionHeader"><b>Benefits</b></h2>
<ul><li>Unique opportunity to join a company very early which you can shape</li>
<li>Rapid growth path: Grow your career with the growing, AI-first company</li>
<li>Perfect environment to develop relevant skills in a world of AI</li>
<li>Above-market compensation + Equity package, that has the potential to drastically gain in value</li>
</ul><div><ul><li>Jump on an intro call with a recruiter</li></ul>
<ul><li>Get to know a fellow engineer, virtually or in person (up to you)</li></ul>
<ul><li>Meet our whole founding team during a final interview (in-person, ~3h, incl. live coding)</li></ul></div></div>

Senior Data Scientist (m/w/d) mit Fokus AI

Staburo

<div><h4 class="jobSectionHeader"><b>Your responsibilities will include</b></h4><p></p><ul><li>
Hands on data processing and analysis of project data (e.g. trial data, biomarkers, gene expression data)</li><li>
Develop predictive models, identify subgroups, perform cutoff determination using basic / advanced statistical methods</li><li>
Statistical programming, development of reusable programs (e.g., functions, macros), data visualization, program validation, output generation</li><li>
Support non-clinical / clinical development in all phases, study planning (protocol, study design), sample size, reporting, analysis plan (e.g. SAP)</li><li>
Customer consulting and direct point of contact</li></ul><p></p><h4 class="jobSectionHeader"><b>
Your profile</b></h4><p></p><ul><li>
Master&rsquo;s degree in statistics, mathematics, data science, or equivalent education or PhD</li><li>
At least three years of professional experience in data analysis and clinical research</li><li>
Strong expertise in basic and advanced statistical methods, e.g. multivariate statistics, mixed models</li><li>
Very good IT expertise, especially with statistical analysis tools (R required, SAS is a plus)</li><li>
Quick comprehension and analytical thinking</li><li>
Precise and accurate way of working</li><li>
Team player with high degree of initiative</li><li>
Good English skills, German is an advantage</li></ul><p></p><h4 class="jobSectionHeader"><b><br>
What we offer you</b></h4><p>
We value communication, flat hierarchies, open corporate culture, and a harmonious work environment. We offer comprehensive individual development opportunities, continuous trainings, and flexible working hours. A modern and bright office with a subsidised canteen, as well as the opportunity to work 2 days per week from home are part of our everyday working life. Full remote work from anywhere in Germany for those who do not live in Munich can be discussed. You will join an interdisciplinary team allowing you to discuss with and learn from peers with many different backgrounds.</p><h4 class="jobSectionHeader"><b>
Question?</b></h4><p>
If you have any questions, please feel free to contact us by e-mail application@staburo.de.</p><h4 class="jobSectionHeader"><b>
About us</b></h4><p>
Staburo GmbH is a data science company, specialized in statistical consulting, programming and bioinformatics for healthcare projects. Our core competencies include Clinical Statistics, Translational Medicine &amp; Biomarkers, Phase I &amp; Pharmacokinetics/-Dynamics, Data Transparency &amp; Disclosure Services, Health Technology Assessment and Bioinformatics. Our customers are international pharmaceutical companies, CROs, biotech companies and medical device manufacturers. Our steadily growing team supports our clients efficiently from study design to data analysis and finally the disclosing and posting of trial results.</p></div>

Senior Data Scientist with focus Biomarker research (f/m/d - part/full-time)

MHP – A Porsche Company

<div>
 <strong>
  Aufgaben
  <br/>
  <br/>
 </strong>
 Du m&ouml;chtest die Datenstrategie unserer Kunden aktiv mitgestalten und deine
 <strong>
  Snowflake-Expertise
 </strong>
 in herausfordernde Projekte einbringen? Du &uuml;bernimmst gerne Verantwortung f&uuml;r Projekte und Teams mit Fokus auf Snowflake-Plattformen? Dann werde Teil unseres Teams und setze deine Erfahrung in spannenden Vorhaben ein &ndash; von der strategischen Architekturplanung &uuml;ber komplexe Integrationen bis hin zur Performance-Optimierung und Umsetzung moderner Governance-Konzepte.
 <br/>
 <br/>
 Dabei warten die folgenden Aufgaben auf dich:
 <br/>
 <br/>
 <br/>
 <ul>
  <li>
   Verantwortung f&uuml;r die Planung, Steuerung und erfolgreiche Umsetzung komplexer Snowflake-Implementierungs- und Migrationsprojekte
  </li>
  <li>
   Entwicklung und Einf&uuml;hrung skalierbarer Datenarchitekturen und Cloud-Integrationen unter Ber&uuml;cksichtigung von Performance, Sicherheit und Compliance
  </li>
  <li>
   Strategische Beratung von Kunden zur Optimierung ihrer Datenplattform und Definition langfristiger Plattform-Roadmaps
  </li>
  <li>
   Etablierung und Weiterentwicklung von Governance-Frameworks und Sicherheitsstandards im Snowflake-Umfeld
  </li>
  <li>
   Beratung zu Best Practices, Identifikation neuer Potenziale und Unterst&uuml;tzung beim strategischen Ausbau von Daten- und AI-L&ouml;sungen beim Kunden
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Anforderungen
  <br/>
  <br/>
 </strong>
 Um f&uuml;r deinen Weg als (Senior) Manager Snowflake (all genders) gewappnet zu sein, hast du folgende Qualifikationen im Gep&auml;ck:
 <br/>
 <br/>
 <br/>
 <ul>
  <li>
   Abgeschlossenes Studium und mindestens 6 Jahre Berufserfahrung in der Beratung mit der Snowflake-Plattform in Rollen wie Data Engineer, Developer, Analyst, Data Scientist, ML Engineer oder Administrator
  </li>
  <li>
   Leidenschaft f&uuml;r Data &amp; AI-L&ouml;sungen sowie Cloud-Technologien
  </li>
  <li>
   Expertise in Snowflake (Architektur, Optimierung, Governance) best&auml;tigt durch eine SnowPro Advanced-Zertifizierung oder vergleichbare Nachweise
  </li>
  <li>
   Umfassende Erfahrung mit Datapipelines, Cloud-Plattformen sowie mit Programmiersprachen (z.B. SQL, Python)
  </li>
  <li>
   Deine Arbeitsweise ist gepr&auml;gt von analytischem Denken, pragmatischem Vorgehen, Teamf&auml;higkeit und Kundenorientierung
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Wissenswertes vor der Abfahrt:
 <br/>
 <br/>
 <br/>
 <ul>
  <li>
   <strong>
    Beginn:
   </strong>
   nach Vereinbarung &ndash; immer zu Beginn eines Monats
  </li>
  <li>
   <strong>
    Arbeitszeit:
   </strong>
   Vollzeit (40h) und Teilzeit; 30 Urlaubstage
  </li>
  <li>
   Arbeitsvertrag: Unbefristet
  </li>
  <li>
   Bereich: Consulting
  </li>
  <li>
   <strong>
    Sprache:
   </strong>
   verhandlungssicheres Deutsch &amp; Englisch
  </li>
  <li>
   <strong>
    Flexibilit&auml;t &amp; Reisebereitschaft
   </strong>
  </li>
 </ul>
</div>


(Senior) Manager Snowflake (all genders)

techtree

<p>About the Role</p><p>A leading frontier AI company is looking for an <b>Applied AI Engineer</b> to join their Solutions team in Munich.</p><p>This is a customer-facing technical role, but the balance is heavily technical: roughly 20% involves presales support, onboarding, and client guidance - the other 80% is designing, developing, and deploying AI solutions for B2B enterprise clients.</p><p>Your stakeholders are technical. You won't be simplifying things for non-technical audiences - you'll be working directly with data scientists, software engineers, and CTOs on complex, high-impact implementations.</p><p>This is not a consultancy role. You'll operate with the mindset of a startup CTO embedded in a world-class AI team: owning projects end-to-end, shipping working solutions, and collaborating closely with researchers and product engineers on the company's most challenging customer problems.</p><p>What You'll Do</p><ul><li>Deploy AI solutions into production across various industries, delivering measurable business impact</li><li>Build state-of-the-art GenAI applications - from consumer products to industrial use cases</li><li>Develop complex implementations involving fine-tuning, advanced RAG pipelines, agentic workflows, and custom LLM applications</li><li>Participate in presales calls to understand client needs and provide technical guidance</li><li>Collaborate with researchers and product engineers on the team's most demanding customer projects</li><li>Feed customer insights back into product and model development</li></ul><p>How the Team Works</p><ul><li>What matters is what you ship, not the time you spend on it</li><li>No bureaucracy - you talk to whoever you need to, the best idea wins</li><li>Low ego, high standards; direct, honest feedback</li><li>Unstructured environment where people find joy in ambiguity</li></ul><p>About You</p><ul><li>Fluent in English and <b>German</b> (required for this Munich-based role)</li><li>2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products</li><li>Proven experience implementing AI/ML products with APIs, back-end and front-end interfaces</li><li>Hands-on experience with fine-tuning LLMs, advanced RAG, or agentic use cases</li><li>Deep understanding of machine learning concepts and the algorithms underlying LLMs</li><li>Strong Python coding skills</li><li>Able to explain complex technical concepts clearly to technical audiences</li></ul><p>Nice to Have</p><ul><li>Open-source contributions, especially in the LLM space</li><li>Prior experience as a Customer Engineer, Forward Deployed Engineer, Solutions Architect, or Technical PM</li><li>Experience with PyTorch and deep learning</li></ul><p>Compensation</p><ul><li>Base salary + equity</li></ul><p>Job Type: Full-time</p><p>Pay: 61.504,42&euro; per year</p><p>Application Question(s):</p><ul><li>Cover letter</li><li>Expected Salary</li></ul><p>Work Location: In person</p>

Applied AI Engineer

Siemens

<div><div><p><b>Transform the everyday</b></p></div><div><div><div><div><p>
Siemens builds the systems the physical world runs on: factories, power grids, buildings, trains, hospitals. Industrial and physical AI is a major opportunity in applied AI, and one of the harder ones to get right. There is a generation of AI-powered products to build.</p><p>
We are an applied science organization building the science behind them. The work sits at the intersection of machine learning research, real world data, and production systems running in industrial environments.</p><p>
As Principal Applied Scientist, you lead the science on a major capability area inside the pod. You take ambiguous problems through hypothesis, method selection, experimentation, and into models that run in production. You are hands on with the modeling, and you are accountable for the rigor and the outcome.</p><p>
This is a senior individual contributor role. You will work in close partnership with engineers and product managers who turn your work into product.</p><div><b>
As part of our team, you will have</b></div></div></div><p></p><ul><li>
An attractive remuneration package</li><li>
Appealing Siemens pension benefits</li><li>
Access to employee share plans</li><li>
30 days of paid vacation and a variety of flexible work schedules that allow time off for you and your family</li><li>
2 to 3 days of mobile working per week as a global standard</li><li>
Up tp 30 days workation per year in certain countries</li></ul>
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.<br>
<br>
<p>The individual benefits are subject to regulatory, contractual, or corporate conditions.</p><p>
Y<b>ou&rsquo;ll make an impact by</b></p><ul><li>
Own one or more scientific capability areas end to end, for example perception, computer vision, language and agents, time series, control, planning, or evaluation</li><li>
Take problems from ambiguous product or system requirements through clear research questions, hypotheses, and success metrics</li><li>
Lead applied research projects: literature review, method selection, experimentation, ablation, error analysis, and productization</li><li>
Build and run the evaluation pipelines for the work you own: offline metrics, online experiments, robustness testing in industrial conditions</li><li>
Work with engineers to take models into production grade pipelines: data readiness, training infrastructure, inference, observability</li><li>
Make scientific tradeoffs in front of engineers and product managers, with evidence, and translate them into decisions the team can act on</li><li>
Identify and de-risk scaling challenges in your area: data quality, model drift, latency, throughput, cost, safety</li><li>
Raise the bar on experimentation rigor, reproducibility, and documentation across the team</li><li>
Apply responsible AI practices in your work: bias detection, model risk management, human in the loop controls</li></ul></div></div><div><div><p><b>
This how you'll win us over</b></p><ul><li>
Education</li><li><ul><li>
Master&acute;s degree or an equivalent qualification in Computer Science, Machine Learning, or a related field</li></ul></li><li>
Experience &amp; Skills</li><li><ul><li>
8+ years in applied machine learning, AI research, or data science, with models that shipped to production and made an impact</li><li>
Strong foundation in machine learning theory and practice across training, evaluation, and deployment</li><li>
Demonstrated experience taking research from a paper or prototype into a model that runs reliably in production</li><li>
Proficiency in Python and modern ML frameworks and toolchains</li><li>
Strong partnership track record with engineering teams on data, training infrastructure, and inference</li><li>
Clear written and verbal communication with engineers, product managers, and senior leaders</li></ul></li><li>
Preferred Qualifications:</li><li><ul><li>
Experience applying ML in industrial or physical domains: manufacturing, automation, robotics, energy, mobility, infrastructure, healthcare</li><li>
Deep expertise in one of: multimodal ML, generative AI, retrieval augmented generation, agentic workflows, time series, control, or planning</li><li>
Scientific ML for physical systems: surrogate modeling, operator learning, physics-informed ML, geometry-aware ML, differentiable simulation, AI for semiconductor/EDA</li><li>
Hands-on experience building evaluation pipelines, running online experiments, or instrumenting production monitoring for a model you owned</li><li>
Publications, patents, open source contributions, or significant internal technology transfers</li><li>
Experience mentoring more junior scientists and engineers</li><li>
Experience working with globally distributed research, product, or engineering organizations</li></ul></li><li>
Ways of working: You operate with high autonomy, lead scientific excellence, and collaborate closely across engineering and product teams</li><li>
Languages: business proficiency in English</li></ul><div>
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!</div></div></div><p></p><div><div><p><br>
Your individual personality and perspective are important to us. We create a working environment that reflects the diversity of the society and support you in your personal and professional development. Let&rsquo;s get to know your authentic personality and create a better future together with us. As an equal-opportunity employer we are happy to consider applications from individuals with disabilities.</p><p><b>
About us</b></p><p>
To transform the everyday, you need to think outside the box. That&rsquo;s why we at Siemens are looking for innovators who aren&rsquo;t afraid to push boundaries to join our diverse team of tech experts. Got what it takes? Then help us create lasting, positive change!</p><p>
www.siemens.de/careers &ndash; if you would like to find out more about jobs &amp; careers at Siemens.
</p><p>FAQ &ndash; if you need further information on the application process.</p></div></div></div><div></div>

Principal Applied Scientist (f/m/d)

Explore 61+ Data scientist in Munich this July. Find roles across top companies and apply now to boost your career.