senior data scientist m f d

AutoScout24

<div><div><div><div><div><div><div><div><div>A career driven by you. Join AutoScout24 Group 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.

As Senior Data Scientist, 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.

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.

What you'll do
<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>
What you'll need
<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>
WHY Autoscout24

A culture of growth. 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.

For a career where you can drive our business and shape your future, apply now.</div></div></div></div></div></div></div></div></div>

Senior Data Scientist (m/f/d)

Manex AI

<div><h1 class="jobSectionHeader">AI Software Engineer (f/m/d)</h1><div>
</div><h2 class="jobSectionHeader">
About Us</h2>
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.<div> 
</div><h2 class="jobSectionHeader">
Your Role</h2>
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.
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.<div> 
</div><h2 class="jobSectionHeader">
Your Responsibilities</h2><ul><li>
Direct software and AI application development within customer projects</li><li>
Troubleshoot, document, co-create solutions alongside senior software engineers, and drive product development</li><li>
Support technical integration of our platform into customer IT landscapes</li><li>
Learn how production processes, IT infrastructure and AI products intersect</li><li>
Translate customer requirements into technical solutions and specifications</li></ul><div> 
</div><h2 class="jobSectionHeader">
Your Profile</h2><ul><li>
Degree in Computer Science, Information Systems, or similar</li><li>
0 to 4 years professional experience or internships in software engineering or similar</li><li>
Hands-on experience through projects, ventures, or product development</li><li>
Curiosity for manufacturing, how factories actually run, newest tech, product development, and beyond</li><li>
Business-fluent in German and English</li><li>
Based in Munich or willing to relocate, ready to go all-in with us</li></ul><div> 
</div><h2 class="jobSectionHeader">
What We Offer</h2><ul><li>
Unique opportunity to become part of a top-tier team with hands-on responsibility and learn how to build lasting collaborations with leading customers</li><li>
Mentorship &amp; fast learning curve in a high-impact AI-Startup environment, incl. flat hierarchy, direct access to founders, and fast decisions</li><li>
Top-of-market compensation with equity package</li><li>
Develop a best-in-class network (funding, industry, and talent) in Europe and the US</li><li>
A fast-paced environment backed by the world's best investors with the world's leading organizations as customers</li></ul><div></div> 
Are you willing to start contributing to European autonomy at scale? Apply now!</div>

AI Software Engineer (f/m/d)

<div><h1 class="jobSectionHeader">AI Software Engineer - Internship (f/m/d)</h1><div></div> 
About Us 
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.
Your Role 
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.
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.
For interns who deliver, this is the fastest path into a full-time engineering role.
Your Responsibilities<ul><li>
Build software and AI application features within real customer projects</li><li>
Work alongside senior engineers to troubleshoot, document, and ship solutions</li><li>
Support the technical integration of our platform into customer environments</li><li>
Turn concrete customer requirements into working technical solutions</li><li>
Learn how production processes, IT infrastructure, and AI products come together</li></ul>
Your Profile<ul><li>
Currently studying Computer Science, Information Systems, or similar, towards the end of your Bachelor's or the start of your Master's</li><li>
Strong hands-on coding ability, proven through your own projects, ventures, or open-source work</li><li>
An ownership mindset: you take initiative, move fast, and finish what you start</li><li>
Ideally strong experience in Python, TypeScript and Docker</li><li>
Fluent in English and ideally in German as well</li><li>
Based in Munich or willing to relocate for the duration of the internship</li></ul>
We appreciate your application even if you don't tick all the boxes.
What We Offer<ul><li>
Real ownership from day one</li><li>
A fast-track into a full-time role
</li><li>Direct mentorship from senior engineers and direct access to founders</li><li>
Hands-on experience onsite with real customers, real production systems, and frontier AI</li><li>
A fast-paced environment backed by the world's best investors, with the world's leading organizations as customers</li></ul> 
Want to build real things at the edge of industrial AI? Apply now.</div>

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

Allianz

We are looking for a Senior Data Analyst (m/f/d), based in Munich.
 
Your Team
 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.
 
The Impact You Will Have
 The Data Quality Expert is responsible for defining and evolving the global Data Quality strategy for Allianz Commercial.
 The role establishes enterprise‑wide data quality principles, rules, and frameworks that ensure data delivered across Allianz Commercial is fit for business use.
 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.
 
Some of your specific responsibilities could include: 
<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
 
<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
 
What’s in it for you?
 
Let’s care about everything that makes you, you
 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.
 
Let’s care for your financial wellbeing
 We believe in rewarding performance with a great compensation and benefits package (details vary by location), including a generous bonus scheme and pension.
 
Let’s care for your opportunities to progress
 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.
 
Let’s care for life’s twists and turns
 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.
 
Let’s care for our society and our planet
 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.
 
Care to join us?
 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.
 
Learn more about careers at Allianz Commercial by clicking here.
 
Learn more about Allianz Commercial by clicking here.
 
At Allianz, we stand for unity: 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.
 
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.
 
Join us. Let's care for tomorrow.
 
People with disabilities: 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
 
Recruitment Agencies:   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.
 
#LI-LP1
 
#LI-Hybrid

Senior Data Analyst (m/f/d)

Agile Robots SE

<div>
 
 
 The AI Research Division of Agile Robots
 
 is looking for an
 
 ML Platform Engineer (m/f/d)
 
 , 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.
 
 
 
 
 
 
 Your Responsibilities
 
 
 <ul>
 <li>
 
 Training Infrastructure:
 
 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>
 
 ML Platform:
 
 Build and maintain containerised ML environments that support reproducible experimentation and benchmarking.
 </li>
 <li>
 
 CI/CD Pipelines:
 
 Develop and maintain CI/CD pipelines for machine learning systems to enable reliable testing, training, and deployment of models.
 </li>
 <li>
 
 Lifecycle Management:
 
 Implement experiment tracking, model versioning, and reproducibility workflows using tools such as ClearML or Weights &amp; Biases.
 </li>
 <li>
 
 Observability:
 
 Set up monitoring systems such as Prometheus and Grafana to track model performance and system health and detect drift in production.
 </li>
 <li>
 
 Cross-Team Collaboration:
 
 Work with research, data, and robotics teams to connect new models to robust production systems.
 </li>
 </ul>
 
 
 
 
 
 Essential Skills
 
 
 <ul>
 <li>
 
 Background and Experience:
 
 Degree in Computer Science, Software Engineering, or a related field, with professional experience building and operating ML or software infrastructure in production.
 </li>
 <li>
 
 Distributed Training:
 
 Experience designing and operating distributed training systems on Kubernetes and Docker, using PyTorch Distributed, DeepSpeed, and schedulers such as SLURM.
 </li>
 <li>
 
 CI/CD For ML:
 
 Experience building CI/CD pipelines that support reliable model testing, training, and deployment.
 </li>
 <li>
 
 Cloud Infrastructure:
 
 Experience operating ML workloads on cloud infrastructure, preferably AWS.
 </li>
 <li>
 
 Experiment Tracking:
 
 Hands-on experience with experiment tracking and model versioning using tools such as MLflow or Weights &amp; Biases.
 </li>
 <li>
 
 Observability:
 
 Experience with monitoring and drift detection using tools such as Prometheus and Grafana.
 </li>
 <li>
 
 Software Engineering:
 
 Python and system design skills, with experience building and operating ML systems beyond the prototype stage.
 </li>
 </ul>
 
 
 
 
 
 Beneficial Skills
 
 
 <ul>
 <li>
 
 Multimodal Systems:
 
 Experience with large-scale or multimodal ML systems such as vision-language-action models.
 </li>
 <li>
 
 Infrastructure As Code:
 
 Familiarity with infrastructure-as-code tools such as Terraform.
 </li>
 <li>
 
 ML Orchestration:
 
 Experience with ML pipeline and orchestration tools.
 </li>
 <li>
 
 Distributed Compute:
 
 Exposure to high-performance or distributed compute environments.
 </li>
 </ul>
 
 
 
 
 
 What we offer
 
 
 <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>
 
 
 
 
 
 Agile Robots SE
 
 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.
 
 
 
 
 
 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!
 
 
 We are proud of our diversity and welcome your application regardless of gender and sexual identity, nationality, ethnicity, religion, age, or disability.
 
</div>

ML Platform Engineer (m/f/d)

MHP – A Porsche Company

<div>
 
 Aufgaben
 
 
 
 Du m&ouml;chtest die Datenstrategie unserer Kunden aktiv mitgestalten und deine
 
 Snowflake-Expertise
 
 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.
 
 
 Dabei warten die folgenden Aufgaben auf dich:
 
 
 
 <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
 
 
 
 </li>
 </ul>
 
 Anforderungen
 
 
 
 Um f&uuml;r deinen Weg als (Senior) Manager Snowflake (all genders) gewappnet zu sein, hast du folgende Qualifikationen im Gep&auml;ck:
 
 
 
 <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
 
 
 
 </li>
 </ul>
 Wissenswertes vor der Abfahrt:
 
 
 
 <ul>
 <li>
 
 Beginn:
 
 nach Vereinbarung &ndash; immer zu Beginn eines Monats
 </li>
 <li>
 
 Arbeitszeit:
 
 Vollzeit (40h) und Teilzeit; 30 Urlaubstage
 </li>
 <li>
 Arbeitsvertrag: Unbefristet
 </li>
 <li>
 Bereich: Consulting
 </li>
 <li>
 
 Sprache:
 
 verhandlungssicheres Deutsch &amp; Englisch
 </li>
 <li>
 
 Flexibilit&auml;t &amp; Reisebereitschaft
 
 </li>
 </ul>
</div>

(Senior) Manager Snowflake (all genders)

Deloitte

<div>
 Deloitte bietet f&uuml;hrende Pr&uuml;fungs- und Beratungsleistungen in Audit &amp; Assurance, Tax &amp; Legal, Consulting und Advisory - f&uuml;r nahezu 90 % der Fortune Global 500&reg; und zahlreiche private Unternehmen. Wir liefern innovative Denkans&auml;tze, l&ouml;sen komplexe Herausforderungen und f&ouml;rdern nachhaltiges Wachstum. Mit rund 470.000 Mitarbeitenden weltweit er&ouml;ffnen wir hervorragende Karrierechancen - getragen von einem starken &bdquo;Wir&ldquo; und einer Vielfalt an Perspektiven und F&auml;higkeiten.
 
 
 Du willst im Bereich
 
 Strategy, Risk &amp; Transactions - Advisory - Financial Risk
 
 Finanzdienstleistern helfen, Risiken besser zu managen? Unser Team unterst&uuml;tzt umfassend in allen Phasen des Gesch&auml;ftsprozesses und kombiniert gezielte Erfahrung, tiefes technisches Wissen, f&uuml;hrendes Branchen Know-how und ein umfangreiches Verst&auml;ndnis von regulatorischen Anforderungen. Sichere unseren gemeinsamen Erfolg und mach mit uns den Unterschied: als
 
 Consultant Data Science Credit Risk (m/w/d).
 
 
 
 Standorte:
 
 D&uuml;sseldorf, Berlin, Frankfurt (Main), Hamburg, Hannover, K&ouml;ln, M&uuml;nchen und Stuttgart.
 
 
 
 
 Dein Impact:
 
 
 
 Als Consultant Data Science Credit Risk (m/w/d) entwickelst du f&uuml;r Finanzdienstleister L&ouml;sungsans&auml;tze zur Bew&auml;ltigung aktueller Herausforderungen im Kreditrisikomanagement - und tr&auml;gst mit deiner Beratung zur Ausgestaltung von Gesch&auml;ftsprozessen bei.
 
 
 <ul>
 <li>
 Hands-on-Einstieg: Du bringst deine Studienerfahrung in die Entwicklung und Implementierung von Kreditrisikomodellen (Rating-Modelle, Kreditportfoliomodelle, Fr&uuml;hwarnsysteme etc.) ein und baust so tiefgehendes Fachwissen auf.
 </li>
 <li>
 Aufgabenvielfalt: Zus&auml;tzlich besch&auml;ftigst du dich mit der Validierung und Pr&uuml;fung von Kreditrisikomodellen sowie mit Machine Learning, Text Mining etc. im Kontext von Kreditprozessen und -
 </li>
 <li>
 Weiterentwicklung: Du unterbreitest neue Ideen die Prozesse deiner Kunden zu optimieren und unsere Tools weiterzuentwickeln.
 </li>
 <li>
 Wachstum: Dein Team unterst&uuml;tzt du engagiert bei der Identifikation neuer Gesch&auml;ftsfelder, der Akquise neuer Mandanten und der Angebotserstellung.
 </li>
 <li>
 Innovation: Im Rahmen deiner T&auml;tigkeit bringst du eigene Ideen ein, um Kunden noch besser zu beraten und wirkst bei der Entwicklung neuer Produkte bis zur Marktreife mit.
 
 
 </li>
 </ul>
 
 Dein Skillset:
 
 
 
 <ul>
 <li>
 Abschluss in Wirtschaftswissenschaften, (Wirtschafts-) Informatik, (Wirtschafts-) Ingenieurwesen, (Wirtschafts-) Mathematik oder vergleichbar
 </li>
 <li>
 Idealerweise erste Erfahrungen und ein gutes Verst&auml;ndnis des Bankwesens in den Bereichen Aufsichtsrecht, Risikomanagement und Kreditprozesse
 </li>
 <li>
 Gute Statistikkenntnisse, lineare/logistische Regression oder Machine-Learning-Modelle in der Risikoparametersch&auml;tzung (PD, LGD, CCF) zur Anwendung von Basel II bis IV oder IFRS 9
 </li>
 <li>
 Ausgepr&auml;gte IT-Affinit&auml;t und erste Kenntnisse in Skript- oder Programmiersprachen (z. B. Python, R, SAS) und relationalen Datenbanksystemen (SQL)
 </li>
 <li>
 Hohes Engagement, Teamgeist, schnelle Auffassungsgabe und Freude an anspruchsvollen Projekten
 </li>
 <li>
 Reisebereitschaft sowie Spa&szlig; an der Kommunikation und Pr&auml;sentation f&uuml;r anspruchsvolle Zielgruppen auf Deutsch und Englisch (sehr gut in Wort und Schrift)
 
 
 </li>
 </ul>
 
 Deine Chance:
 
 
 
 <ul>
 <li>
 Spannende Aufgaben in einem innovativen Umfeld mit hochmotivierten Kolleg:innen, die sich schon jetzt auf deine Impulse freuen
 </li>
 <li>
 Gute Rahmenbedingungen mit attraktivem Gehalt und zahlreichen Zusatzleistungen, z. B. Firmen-Smartphone zur privaten Nutzung, Fahrradleasing und Corporate Benefits
 </li>
 <li>
 Work-Life-Balance durch Mobile Working &amp; Teilzeit, EU Remote Working, Sabbaticals, Mitarbeiter:innen-Events, Well-being Angebote wie z. B. Gesundheitstage, Kooperationen mit Fitness-Anbietern und den Familienservice, der dich bei privaten Herausforderungen unterst&uuml;tzt
 </li>
 <li>
 Exzellente Weiterbildung an der Deloitte University, in On- und Offline-Seminaren und im Rahmen der Berufsqualifikation
 </li>
 <li>
 Vielf&auml;ltige Gestaltungsr&auml;ume und aktive F&ouml;rderung einer inklusiven Unternehmenskultur - u. a. durch unsere Diversity &amp; Inclusion Mitarbeiter:innen-Netzwerke
 
 
 </li>
 </ul>
 
 Bist du bereit? Mach mit uns den Unterschied!
 
 
 
 Unser Recruiting-Team freut sich auf deine Bewerbungsunterlagen (CV sowie Abitur-, Hochschul- und Arbeitszeugnisse) &uuml;ber unser Online-Formular. Ein Anschreiben und ein Bewerbungsfoto sind bei uns nicht erforderlich.
 
 
 
 Gleiche Chancen f&uuml;r alle:
 
 Wir freuen uns &uuml;ber Bewerbungen von Menschen, die so vielf&auml;ltig sind wie wir &ndash; unabh&auml;ngig von Alter, Behinderung, ethnischer Herkunft und Nationalit&auml;t, Geschlecht, Religion, sexueller Orientierung oder sozialer Herkunft.
 
 Noch Fragen?
 
 Alle Infos zu unserem Bewerbungsprozess findest du in unseren
 
 
 Bewerbungs-FAQs
 
 .
 
 
 
 
 Dein Kontakt bei Fragen rund um Karrierethemen
 
 
 
 Unser Team Talent Acquisition &ndash; Aleksandra, Anja, Julia, Lea, Lisa, Silja und ihre Teams &ndash; unterst&uuml;tzt dich gerne bei allen Fragen rund um deine Karriere bei Deloitte. Du erreichst uns per E-Mail unter career@deloitte.de oder telefonisch unter +49 211 87724111.
 
 
 Job-ID: 49059
 
 
</div>

Consultant Data Science Credit Risk (m/w/d) in München

Explore 85+ Senior data scientist m f d in Munich this July. Find roles across top companies and apply now to boost your career.