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

(senior) software engineer - robotic applications

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

(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) Jobs in Munich

(senior) software engineer (f/m/x) Jobs in Munich

(senior) software engineer (f/m/x)

(senior) software engineer - robotic applications Jobs in Munich

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

data scientist (all genders) Jobs in Munich

data scientist (all genders)

senior data scientist with focus biomarker research f m d part full time

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)

Manex AI

<div><h1 class="jobSectionHeader"><b>AI Software Engineer - Internship (f/m/d)</b></h1><div></div><p><b><br>
About Us</b><br>
Manex AI is on a mission to enable autonomy for the world's leading organizations, currently building the production system for the era of autonomous manufacturing. With our Seed Round raised from Lightspeed and BlueYard and leading manufacturing enterprises relying on our systems, we are now scaling fast. For our world-class team, we are looking for exceptionally driven students who want real ownership early.</p><p><b>
Your Role</b><br>
You will build the software and AI applications that power autonomous manufacturing. You work on our platform &quot;Kosmos&quot; alongside our engineers, shipping features and AI-driven solutions that go straight into live production environments at industry leaders including BMW, Audi, BSH, Stellantis, Still, TDK Electronics, and Co.</p><p>
From your first week, you own pieces of real problems. You write code that goes into production, you see your work run inside real factories, and you learn exactly how technical decisions create measurable impact for some of the most demanding manufacturers in the world.</p><p>
For interns who deliver, this is the fastest path into a full-time engineering role.</p><p><b>
Your Responsibilities</b></p><ul><li><p>
Build software and AI application features within real customer projects</p></li><li><p>
Work alongside senior engineers to troubleshoot, document, and ship solutions</p></li><li><p>
Support the technical integration of our platform into customer environments</p></li><li><p>
Turn concrete customer requirements into working technical solutions</p></li><li><p>
Learn how production processes, IT infrastructure, and AI products come together</p></li></ul><p><b>
Your Profile</b></p><ul><li><p>
Currently studying Computer Science, Information Systems, or similar, towards the end of your Bachelor's or the start of your Master's</p></li><li><p>
Strong hands-on coding ability, proven through your own projects, ventures, or open-source work</p></li><li><p>
An ownership mindset: you take initiative, move fast, and finish what you start</p></li><li><p>
Ideally strong experience in Python, TypeScript and Docker</p></li><li><p>
Fluent in English and ideally in German as well</p></li><li><p>
Based in Munich or willing to relocate for the duration of the internship</p></li></ul><p>
We appreciate your application even if you don't tick all the boxes.</p><p><b>
What We Offer</b></p><ul><li><p>
Real ownership from day one</p></li><li><p>
A fast-track into a full-time role
</p></li><li><p>Direct mentorship from senior engineers and direct access to founders</p></li><li><p>
Hands-on experience onsite with real customers, real production systems, and frontier AI</p></li><li><p>
A fast-paced environment backed by the world's best investors, with the world's leading organizations as customers</p></li></ul><p><br>
Want to build real things at the edge of industrial AI? Apply now.</p></div>

AI Software Engineer - Internship (f/m/d)

<div><h1 class="jobSectionHeader"><b>AI Software Engineer (f/m/d)</b></h1><div>
</div><h2 class="jobSectionHeader"><b>
About Us</b></h2><p>
Manex AI is on a mission to enable autonomy for the world&rsquo;s leading organizations and is currently building autonomous factories. After raising our Seed Round from Lightspeed and BlueYard and winning leading enterprise manufacturing customers, we are now focused on scaling operations across all departments. With our world-class team, we are looking for the key individuals who will help take us to the next level and build a truly outstanding organization.</p><div><br>
</div><h2 class="jobSectionHeader"><b>
Your Role</b></h2><p>
As an AI Software Engineer, you build the applications that make autonomy real on the factory floor. You work embedded inside the production environments of our customers - industry leaders including BMW, Audi, BSH, Stellantis, Still, TDK Electronics, and Co. - where our platform &quot;Kosmos&quot; meets the messy reality of manufacturing. You take the hardest technical problems our customers have and turn them into working software, powered by data and AI, inside their most critical, high-stakes processes.</p><p>
Most of your time goes into building: developing AI-driven applications, designing the integration architectures around them, and shipping solutions that create measurable impact - while becoming a trusted technical contact for our customers along the way.</p><div><br>
</div><h2 class="jobSectionHeader"><b>
Your Responsibilities</b></h2><ul><li><p>
Direct software and AI application development within customer projects</p></li><li><p>
Troubleshoot, document, co-create solutions alongside senior software engineers, and drive product development</p></li><li><p>
Support technical integration of our platform into customer IT landscapes</p></li><li><p>
Learn how production processes, IT infrastructure and AI products intersect</p></li><li><p>
Translate customer requirements into technical solutions and specifications</p></li></ul><div><br>
</div><h2 class="jobSectionHeader"><b>
Your Profile</b></h2><ul><li><p>
Degree in Computer Science, Information Systems, or similar</p></li><li><p>
0 to 4 years professional experience or internships in software engineering or similar</p></li><li><p>
Hands-on experience through projects, ventures, or product development</p></li><li><p>
Curiosity for manufacturing, how factories actually run, newest tech, product development, and beyond</p></li><li><p>
Business-fluent in German and English</p></li><li><p>
Based in Munich or willing to relocate, ready to go all-in with us</p></li></ul><div><br>
</div><h2 class="jobSectionHeader"><b>
What We Offer</b></h2><ul><li><p>
Unique opportunity to become part of a top-tier team with hands-on responsibility and learn how to build lasting collaborations with leading customers</p></li><li><p>
Mentorship &amp; fast learning curve in a high-impact AI-Startup environment, incl. flat hierarchy, direct access to founders, and fast decisions</p></li><li><p>
Top-of-market compensation with equity package</p></li><li><p>
Develop a best-in-class network (funding, industry, and talent) in Europe and the US</p></li><li><p>
A fast-paced environment backed by the world's best investors with the world's leading organizations as customers</p></li></ul><div></div><p><br>
Are you willing to start contributing to European autonomy at scale? Apply now!</p></div>

AI Software Engineer (f/m/d)

Agile Robots SE

<div>
 <p>
  <strong>
   The AI Research Division of Agile Robots
  </strong>
  is looking for an
  <strong>
   ML Platform Engineer (m/f/d)
  </strong>
  , who will build and operate the distributed training, deployment, and experimentation infrastructure that research, data, and robotics teams depend on to move models from prototype to production.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Your Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Training Infrastructure:
   </strong>
   Design and scale distributed training workflows for large models using tools such as PyTorch Distributed, DeepSpeed, and cluster schedulers like SLURM or Kubernetes.
  </li>
  <li>
   <strong>
    ML Platform:
   </strong>
   Build and maintain containerised ML environments that support reproducible experimentation and benchmarking.
  </li>
  <li>
   <strong>
    CI/CD Pipelines:
   </strong>
   Develop and maintain CI/CD pipelines for machine learning systems to enable reliable testing, training, and deployment of models.
  </li>
  <li>
   <strong>
    Lifecycle Management:
   </strong>
   Implement experiment tracking, model versioning, and reproducibility workflows using tools such as ClearML or Weights &amp; Biases.
  </li>
  <li>
   <strong>
    Observability:
   </strong>
   Set up monitoring systems such as Prometheus and Grafana to track model performance and system health and detect drift in production.
  </li>
  <li>
   <strong>
    Cross-Team Collaboration:
   </strong>
   Work with research, data, and robotics teams to connect new models to robust production systems.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Essential Skills
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Background and Experience:
   </strong>
   Degree in Computer Science, Software Engineering, or a related field, with professional experience building and operating ML or software infrastructure in production.
  </li>
  <li>
   <strong>
    Distributed Training:
   </strong>
   Experience designing and operating distributed training systems on Kubernetes and Docker, using PyTorch Distributed, DeepSpeed, and schedulers such as SLURM.
  </li>
  <li>
   <strong>
    CI/CD For ML:
   </strong>
   Experience building CI/CD pipelines that support reliable model testing, training, and deployment.
  </li>
  <li>
   <strong>
    Cloud Infrastructure:
   </strong>
   Experience operating ML workloads on cloud infrastructure, preferably AWS.
  </li>
  <li>
   <strong>
    Experiment Tracking:
   </strong>
   Hands-on experience with experiment tracking and model versioning using tools such as MLflow or Weights &amp; Biases.
  </li>
  <li>
   <strong>
    Observability:
   </strong>
   Experience with monitoring and drift detection using tools such as Prometheus and Grafana.
  </li>
  <li>
   <strong>
    Software Engineering:
   </strong>
   Python and system design skills, with experience building and operating ML systems beyond the prototype stage.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Beneficial Skills
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Multimodal Systems:
   </strong>
   Experience with large-scale or multimodal ML systems such as vision-language-action models.
  </li>
  <li>
   <strong>
    Infrastructure As Code:
   </strong>
   Familiarity with infrastructure-as-code tools such as Terraform.
  </li>
  <li>
   <strong>
    ML Orchestration:
   </strong>
   Experience with ML pipeline and orchestration tools.
  </li>
  <li>
   <strong>
    Distributed Compute:
   </strong>
   Exposure to high-performance or distributed compute environments.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What we offer
  </strong>
 </p>
 <ul>
  <li>
   Dynamic high-tech company combined with financial soundness and world class investors.
  </li>
  <li>
   Join an interdisciplinary, international team with 60+ different nationalities in a collaborative work environment.
  </li>
  <li>
   Lots of development opportunities in the context of our continued growth.
  </li>
  <li>
   Challenging tasks and impactful projects alongside experts that enable professional and personal growth.
  </li>
  <li>
   Corporate Benefits Program that covers health, mobility and learning with 100 &euro; net per month.
  </li>
  <li>
   Modern office facilites with a rooftop terrace overlooking Munich, free drinks &amp; fruits, and regular company events contribute to a good working environment.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Agile Robots SE
  </strong>
  is an international high-tech company based in Munich, Germany with a production site in Kaufbeuren and more than 2300 employees worldwide. Our mission is to bridge the gap between artificial intelligence and robotics by developing systems that combine state-of-the-art force-moment-sensing and world-leading image-processing technology. This unique combination of technologies allows us to provide user-friendly and affordable robotic solutions that enable intelligent precision assembly.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is made possible by our employees, who bring out the best in each and every day with creativity and enthusiasm. Become part of this team and shape the future of robotics with us!
 </p>
 <p>
  We are proud of our diversity and welcome your application regardless of gender and sexual identity, nationality, ethnicity, religion, age, or disability.
 </p>
</div>


ML Platform Engineer (m/f/d)

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)

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)

Allianz

We are looking for a Senior Data Analyst (m/f/d), based in Munich.
<br><br>
Your Team
<br>You will join the OE Data Management Data Quality team within Allianz Commercial's Global Commercial Data Office (GCDO). Our team plays a central role in driving data quality improvement and operational entity onboarding across Allianz Commercial. As part of the broader ALEx programme, we collaborate closely with data scientists, engineers, and product owners to deliver high-quality data solutions that support underwriting, pricing, sales, and claims across the organisation. You'll be working alongside experienced professionals in data management, data science, and analytics in a truly international environment.
<br><br>
The Impact You Will Have
<br>The Data Quality Expert is responsible for defining and evolving the global Data Quality strategy for Allianz Commercial.
<br>The role establishes enterprise‑wide data quality principles, rules, and frameworks that ensure data delivered across Allianz Commercial is fit for business use.
<br>Operating Entities (OEs) remain fully accountable for the quality of their source data and operate their own Data Quality functions. In this context, the Data Quality Expert provides guidance, clarity, and support to OEs, helping them design and align their local data quality strategies with Allianz Commercial standards.
<br><br>
<b>Some of your specific responsibilities could include:</b><br>
<ul>
<li>Define and maintain the global Data Quality strategy, frameworks, and standards for Allianz Commercial, ensuring alignment with business needs across reporting, analytics, underwriting, and portfolio management</li>
<li>Establish and govern centrally managed Data Quality rules (e.g. completeness, validity, consistency, uniqueness), including expected quality levels and acceptance criteria for data delivered into Allianz Commercial platforms</li>
<li>Act as a point of reference for Operating Entities (OEs) and their local Data Quality experts, supporting them in designing and maturing their own data quality approaches</li>
<li>Define how data quality is measured, reported, and interpreted at Allianz Commercial level, ensuring transparency and comparability of outcomes across OEs</li>
<li>Provide analytical insights that help business and data stakeholders understand systemic quality trends, risks, and improvement opportunities</li>
<li>Ensure stability and governance of data quality rules, maintaining clear traceability between standards, measurements, and reported outcomes</li>
<li>Communicate data quality strategy and maturity to senior stakeholders, acting as a thought leader for data quality within Allianz Commercial</li>
</ul>
What You’ll Bring to the Role
<br><br>
<ul>
<li>3–5 years' experience in data quality management or data governance, with a solid understanding of how data quality drives better reporting, analytics, and business decisions</li>
<li>Deep knowledge of data quality dimensions (completeness, validity, consistency, timeliness, uniqueness) and hands-on experience setting rules, thresholds, and acceptance criteria at scale</li>
<li>Familiarity with enterprise data models, metadata, reference data, and controlled vocabularies — and the ability to turn business requirements into clear, measurable quality standards</li>
<li>Experience designing data quality measurement frameworks that allow meaningful comparison across multiple entities or business units</li>
<li>Comfort working in federated environments where you influence through expertise, clarity, and collaboration rather than direct control</li>
<li>Excellent communication skills with the ability to bridge technical, data, and business perspectives — and to advise peers across countries and cultures with diplomacy and precision</li>
<li>(Desirable) An understanding of how data quality impacts AI and advanced analytics, including awareness of concepts such as feature completeness, semantic consistency, and data stability over time</li>
<li>A solid understanding of data analysis, automation, and AI tools is required, with an awareness of ethical AI usage.</li>
</ul>
101310 | Data AI | Professional | Allianz Commercial | Full-Time | Permanent
<br><br>
What’s in it for you?
<br><br>
Let’s care about everything that makes you, you
<br>We are committed to nurturing an inclusive environment where everyone feels they belong. We offer a hybrid working model, which recognizes the value of striking a balance between in-person collaboration and remote working. Please feel free to discuss flexible working arrangements with us.
<br><br>
Let’s care for your financial wellbeing
<br>We believe in rewarding performance with a great compensation and benefits package (details vary by location), including a generous bonus scheme and pension.
<br><br>
Let’s care for your opportunities to progress
<br>From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered.
<br><br>
Let’s care for life’s twists and turns
<br>From our support for flexible working, health and wellbeing (including private healthcare and generous parental leave benefits), to helping people return from career breaks with experience that nothing else can teach. We've got your back.
<br><br>
Let’s care for our society and our planet
<br>With opportunities to be engaged in shaping a future that is safe, inclusive and sustainable, we care for the tomorrows of our people, our industry and our clients.
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Care to join us?
<br>Allianz Commercial is the center of expertise of Allianz Group, insuring mid-sized businesses, large enterprises, and special risks. Our customers include top consumer brands, financial institutions, industry leaders, the global aviation and shipping industries, as well as family-owned and medium-enterprises. We also cover unique risks such as offshore wind farms, infrastructure projects and film productions. Our clients trust us to provide a wide range of traditional and alternative risk transfer solutions, outstanding risk consulting and multinational services, and seamless claims handling. Allianz Commercial helps customers to prepare for what's ahead.
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Learn more about careers at Allianz Commercial by clicking here.
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Learn more about Allianz Commercial by clicking here.
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<b>At Allianz, we stand for unity:</b> we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. And the foundation for this is our inclusive workplace, where people and performance both matters, and nurtures a culture grounded in integrity, fairness, inclusion and trust.
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We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.
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Join us. Let's care for tomorrow.
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<b>People with disabilities:</b> We want to give all our candidates the best opportunity to succeed.  If you need any adjustments to be made during the application and selection process, please email agcsglobalcareers@allianz.com
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<b>Recruitment Agencies:</b>   Allianz Commercial has an in-house recruitment team, which focuses on sourcing great candidates directly.  Allianz Commercial does not accept unsolicited resumes from agency or search firm recruiters.  Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired.  When we do use agencies, we have a PSL in place, so please do not contact managers directly. Failure to comply could/may result in the disqualification of the candidates and/or the termination of our contract and/or fees not being paid.
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Senior Data Analyst (m/f/d)

Explore 104+ Senior data scientist with focus biomarker research f m d part full time in Munich this July. Find roles across top companies and apply now to boost your career.