(Junior) Data Scientist (m/f/d) - Credit Card (Data Scientist)

Introduction

CHECK24 is one of Germany’s leading online companies and the country’s largest comparison portal.
Are you passionate about turning data into business insights and driving new projects in a fast-paced e-commerce marketplace? Do you enjoy working in small, agile teams with a strong focus on cutting-edge IT and AI technologies?

At CHECK24 Vergleichsportal Autoteile GmbH, located in the heart of Munich, we are constantly enhancing our product. We don’t settle for the status quo — innovation and customer excitement are what drive us. Your ideas will directly improve the experience of millions of users.
Are you eager to take on responsibility early in your career and help shape a product in a dynamic, start-up-like environment? Then CHECK24 is the right place for you.

We look forward to your application as Junior Data Analyst (m/f/d) at CHECK24 Vergleichsportal Autoteile GmbH.

Your Responsibilities

- Analyze customer journeys and usage data to derive actionable business insights
- Develop and maintain scalable Tableau dashboards, reports and tracking structures
- Translate analytical findings into strategic recommendations and KPIs
- Prepare, clean, and merge datasets to ensure high data quality
- Support data-driven decision-making with self-service analytics tools
- Lead and implement data feature projects from concept to go-live
- Assess and integrate AI tools for business intelligence use cases
- Coordinate cross-functional projects with product management, IT, and other stakeholders
- Contribute to the strategic development of our product
- Collaborate closely with a high-performing team and maintain direct contact with senior management

Your Qualifications

- Strong academic background in Business, Mathematics, Statistics, Data Science or a related quantitative field
- Initial experience in Data Analytics, Data Science or Business Intelligence
- Passion for analytical, structured, and data-driven work, combined with a goal-oriented and flexible mindset
- Proficiency in SQL and working with relational databases
- Fast learner with a sense of ownership, team spirit, and strong execution and problem-solving skills
- Excellent communication and presentation abilities
- Fluent in English (C1 level); German fluency is a strong plus
- Programming skills in Python and familiarity with AI concepts (e.g., supervised learning, LLMs) are advantageous
- Experience with Tableau is a plus

Your Benefits

- Security and stability: With more than 15 years of success on the market, we offer you the stability of an established online company – and permanent employment on a long-term basis
- Career development: Tailored training programs, regular feedback sessions and personal coaching to support your professional and leadership growth
- Empowered work environment: Agile working culture with ownership, short decision-making paths and the freedom to contribute your ideas
- Modern workplace: Centrally located office at Donnersbergerbrücke in Munich, with subsidies for the Germany Ticket and bike/e-bike leasing for sustainable commuting
- Free food and drinks: Enjoy free office lunch three times a week, fresh fruit, a selection of cereals, and a wide variety of hot and cold beverages
- On top: Vouchers for numerous CHECK24 products and a subsidized company pension scheme
- We have fun at work and are proud to be CHECKitos: We celebrate our successes together at numerous events

Your missionAs a Data Scientist and Process Mining Architect you will be responsible for driving projects that focus on bringing transparency and added-value to our customers' digital business processes. You will focus on generating meaningful and innovative solutions to improve the most critical metrics that keep our customers ahead of the competition. This role requires a deep understanding of our customers' needs and an ability to communicate our solutions to key decision makers and senior management. Additionally, you will support Processand's international expansion and the development of our team by working on new strategic concepts.

Your profile
• Degree in Mathematics / Physics / Industrial Engineering / Business Management / Economics / IT or similar
• An analytical mind, ability to work in a structured way and quickly analyze problems
• Proven experience in a coding language like SQL, Python or R
• Sound understanding of business administration for all types of business processes
• Strong communication and business partnering skills
• IT affinity and a feel for sophisticated processes
• Visionary approach with a sense of commitment to making a difference
• Passion for working creatively, solving complex issues, and delivering high quality work.
• Fluent in German (C1 Level) and English (other foreign languages are a plus)

Why us?We are a young, upbeat and rapidly growing data analytics company based in Munich (Germany) with offices in Taiwan and the US. We can offer you an extremely exciting work environment and an opportunity to gain insights into some of the largest companies in the world with whom we work very closely.
We are expanding our Team in Munich and you could join our dynamic and international team of data analysts and process mining architects! If you love analyzing data and are eager to work with some of the biggest enterprises on the market, you will fit right in at Processand.

Benefits:
• An exciting position within a dynamic international setting
• A passionate and upbeat work atmosphere with an innovative start-up spirit and high degree of personal responsibility
• Inclusive, equal opportunity and multicultural workplace
• Competitive salary including performance-based bonus
• Flexible working hours and the ability to work from home
• 28 days of paid vacation and additional days off for Christmas (24th) and New Year´s Eve
• A weekly fresh fruit basket, free drinks, coffee, and tea
• Monthly € 40 Sodexo card and other benefits
• Work-life balance flexibility
• An incredibly steep learning curve and very flat hierarchies
• A motivated, passionate, and ambitious team

About usProcessand is a global consulting and software implementation company that drives the successful transformation and digital realignment of IT-supported business process. We support SMEs and large international corporations in converting their IT and ERP data into actionable insights. As one of the leading partners of Celonis SE, our focus is on the implementation of the innovative and market-leading process mining technology, the data analysis based on it and the strategic support of our customers. With the help of process mining technology and our extensive process management know-how, we create concrete added value for our customers in the age of increasing IT complexity.

About this Job Join us to further improve our market-leading FinTech product, Account Switch Service (Kontowechselservice), which is revolutionizing the German financial landscape. Our product leverages state-of-the-art machine learning technologies and advanced software engineering frameworks to deliver features that captivate our customers and partners, making their processes smoother and faster.    You will continuously improve our product in an agile working environment and play a proactive role in its further development. In close collaboration with our data scientists, software engineers, and product managers, you will apply the latest data science solutions. By unfolding your creativity, you will elevate our product to the next level.    Does solving concrete ML problems, creating exciting new features, and building up digital business models fascinate you? Then become a part of our multicultural and dedicated team!    Give your career a boost as a (Junior) Data Scientist (m/f/d) FinTech at CHECK24 Vergleichsportal Karten & Konten GmbH and shape the future of financial services with us. Your Responsibilities You will automate related business processes with the help of data science methods like classification, clustering, or named entity recognition on text and images  As part of your role, you'll experiment with machine learning algorithms in the field NLP, manage your training experiments with modern MLOps frameworks and thereby help lifting our product to the next level  Staying up to date with the latest developments in machine learning, you will discuss with your team how we can make use of e.g. generative AI models like transformers You will not only analyze and preprocess related data pools, make decisions on the correct modelling and validate your models but also embed them in production-ready microservices and integrate them autonomously into the existing product and software platform You will collaborate directly with IT developers and product managers in a cross-disciplinary team Your Qualifications Master's degree in physics, mathematics, data science, statistics, computer science, business informatics or related fields  Enthusiasm for the application of mathematics and machine learning technology to make our financial products faster, better and even more convenient to use First experience and strong working knowledge in data wrangling, manipulation, visualization, machine learning, and deep learning using libraries such as pandas, NumPy, scikit-learn, LightGBM, TensorFlow, etc. Solid Python programming and software engineering skills; ideally, experience with REST frameworks like FastAPI, and additional frameworks/tools such as Docker, Streamlit, MLflow, Grafana etc. Creativity and curiosity to apply cutting-edge algorithms from the data science field to our products (e.g., LSTMs, transformers) High motivation to work in agile and cross-disciplinary teams and to share knowledge inside the CHECK24 data science community Fluent spoken and written English skills. German skills are beneficial but not mandatory Your Benefits With hundreds of developers, in small agile teams, we are more than a website Experience and stability: more than 15 years of successes and failures shared across the group in over 15 locations Working with customer orientation: Each division at CHECK24 acts largely independently and unconditionally oriented towards its customers. This means focus and working methods like in a start-up with small teams and without superfluous coordination We'll help you get ahead: Together with you, your manager is responsible for your personal development in your daily work. For this purpose, we offer trainings especially designed for our employees, such as the deepening of your IT skills We value your commitment: Vouchers for numerous CHECK24 products, a subsidized company pension plan, inflation compensation bonus up to special conditions in fitness studios and a subsidized MVV ticket Food & Drinks: In addition to one free meal per day (breakfast or lunch), we provide you with fresh fruit from the region and you are also free to help yourself to drinks Checkito-Spirit: We know that only excellent teams develop excellent online products. That's why events to celebrate and network as well as our legendary summer and Christmas parties are part of our daily work routine Do you have any questions? Lilly Jacobs [email protected] https://jobs.check24.de Bewerbungen können ausschließlich online über unser Bewerbungsformular angenommen werden.

Introduction

Are you seeking a flexible job that allows you to dive into the exciting world of AI?

Would you like to play a key role in enhancing our GenAI products?

Join CHECK24 AI Forge GmbH in Munich and contribute to the ongoing development of our AI-driven solutions.
We are looking forward to your application as Intern (m/f/d) Data Science.

Your Responsibilities

- Research cutting-edge NLP techniques, with a focus on property-value extraction and retrieval-augmented generation (RAG) solutions to improve accuracy
- Design and develop AI agents for autonomous information retrieval and extraction, leveraging RAG frameworks and MCP standards to enhance performance and collaboration
- Plan and conduct benchmarking experiments to evaluate LLM outputs and support the evaluation pipeline
- Help develop and optimize small language models (SLMs) for efficient information extraction from documents
- Clean, preprocess, and analyze both structured and unstructured data to improve the performance of large language models (LLMs)
- Collaborate with data scientists to integrate new solutions and findings into products, ensuring scalability and addressing deployment challenges
- Document methodologies, findings, and insights to share knowledge and best practices within the team

Your Qualifications

- Currently enrolled in a degree program in Computer Science, Data Science, Mathematics, or a related field
- Proficient in Python, with hands-on experience in data manipulation, analysis, and machine learning libraries (e.g., Pandas, NumPy, Scikit-learn, PyTorch), and familiar with Generative AI frameworks such as LangChain
- Strong analytical skills, with the ability to extract meaningful insights from complex datasets and communicate findings effectively
- Fluent in English; knowledge of German is a plus

Your Benefits

- Diverse insights in an innovative and modern work environment: Experience the blend of an agile startup and a successful e-commerce company
- Optimal career preparation: Gain practical experience, receive intensive support, and regular feedback from colleagues to build a solid foundation for your career
- Independent work: Quickly take on independent tasks and responsibility for exciting projects
- CHECKito Spirit: Work in a relaxed yet professional environment with open communication, no dress code, and team celebrations at company events
- Food & drinks: Enjoy free beverages, muesli, fresh fruit, and lunch three times a week
- Vouchers & discounts: Receive vouchers for various CHECK24 products and discounted sports benefits (Wellpass membership and in-house fitness courses)
- Central location: Our office is ideally located with excellent public transport connections

CHECK24 is Germany's largest comparison portal and a dynamic startup
in one. In small agile teams, we work daily on more than 50 products
to make life easier for our over 15 million customers: We create
transparency, make complex products easily understandable, and help
consumers save time and money. As a (Junior) Data Scientist (m/f/d) -
Credit Card , you will have the opportunity to gain practical
experience while contributing to the development of recommender
systems and ranking topics in the Fintech area. We are looking forward
to receiving your application as a highly motivated (Junior) Data
Scientist (m/f/d) at CHECK24 Vergleichsportal Karten & Konten GmbH in
Munich. Your Qualifications Background in computer science,
informatics, mathematics, statistics, or similar fields Good
understanding of basic Data Science concepts Proficient in Python and
familiar with main Data Science and Machine Learning libraries
Experience with Classical Machine Learning based solutions and
pipelines (sklearn, XGBoost, LightGBM) Experience with Data
Engineering implementation (Sql, NoSql) Hands-on approach to latest as
well as established methods and strong problem-solving and analytical
skills Communication and presentation skills Interest in recommender
systems and ranking problems, as well as in Fintech and the Credit
Card business context Your Responsibilities Assist in the design and
implementation of machine learning algorithms to enhance our
ranking/recommender engine performance Contribute to ensuring
interpretable and explainable solutions Support the development and
deployment of microservices using FastAPI, Docker, and machine
learning libraries Collaborate with the team of product managers and
software engineers Your Benefits S tart-up flair: Enjoy the dynamic of
a start-up flair combined with the security of an established online
company Networking: Benefit from the opportunity to collaborate and
network with experienced Data Scientists across CHECK24 Vacation
Booster: You can work from home on Fridays. For every Friday you
choose to work from the office, you'll earn a ¼ vacation day, which
you can accumulate, use, or even cash out Celebration: We like to
celebrate successes together at numerous team events CheckitoLunch:
Four times in a week in addition to free drinks, fresh fruit, and
cereals for breakfast Deutschland Ticket: It's on us Jobrad: Do you
live nearby and want to come by bike? We will support you with a
subsidy for a job bike

Einleitung

Wir suchen einen erfahrenen Data Manager (m/w/d), der seine Expertise in einem akademischen Umfeld einbringen und unser Team bei der Gestaltung von EDC-Systemen sowie der Dokumentation klinischer Studien verantwortungsbewusst unterstützen möchte.

Die Klinik für Herz- und Kreislauferkrankungen sucht für die Forschungsgruppe ISAResearch Center zum nächstmöglichen Zeitpunkt in Teil- oder Vollzeit einen

Clinical Data Manager (m/w/d)

Unser Angebot

- Eine interessante berufliche Herausforderung in einem universitär und international geprägten Umfeld
- Vergütung nach dem TV-L (inkl. Jahressonderzahlung)
- Fort- und Weiterbildungsangebote
- Betriebliche Altersvorsorge/Betriebsrente (VBL)
- Ein zunächst befristeter Arbeitsvertrag mit Perspektive auf Weiterbeschäftigung
- Personalrestaurant
- Zentrale Lage in München mit hervorragender Verkehrsanbindung
- Zugang zu über 10.000 Sport- und Gesundheitseinrichtungen über EGYM Wellpass
- Zahlreiche Rabatte für Mitarbeitende über Corporate Benefits, Fahrrad-Leasing mit JobBike Bayern und weitere Vorteile

Ihre Aufgaben

- Durchführung des klinischen Data Management in Übereinstimmung mit dem Prüfplan, ICH-GCP, SOPs und regulatorischen Anforderungen
- Erstellung von elektronischen Case Report Forms (CRF) inklusive Edit Check Spezifikationen
- Management und Durchführung von Data Cleaning, Data Validation, Queries und Plausibilitätskontrollen in Zusammenarbeit mit dem Data Management Team
- Datenbankerstellung/-überarbeitung sowie Definition, Programmierung und Validierung von Data Listings
- Koordination und Durchführung von User Acceptance Tests (UAT)
- Data Management Dokumentation wie Data Validation Plan (DVP), Data Management Plan (DMP) u. Reports
- Training von Studienmitarbeitern
- Teilnahme an Audits und Inspektionen

Ihr Profil

- Abgeschlossenes Studium im Bereich eHealth-IT, Medizinische Dokumentation/Informatik, Gesundheitsinformatik, Informationsmanagement im Gesundheitswesen, Data Science in der Medizin oder abgeschlossene Berufsausbildung als Medizinische/r Dokumentar/in bzw. vergleichbare Qualifikation
- Praktische Erfahrung mit Datenbanken sowie medizinischen Dokumentationssystemen
- Erfahrung bezüglich regulatorischer Anforderungen im Datenmanagement bei klinischen Studien (ICH/GCP)
- Fundierte Office-Kenntnisse (insbesondere Excel, Access)
- Kenntnisse von XML, SQL und SAS Programmierung sind von Vorteil
- Hohes Maß an Verantwortungsbewusstsein, Selbständigkeit und Organisationstalent
- Gute Kommunikationsfähigkeit in Kombination mit Teamfähigkeit und Flexibilität
- Sehr gute Englisch- und Deutschkenntnisse (mündlich/schriftlich)

Schwerbehinderte Bewerber (m/w/d) werden bei ansonsten im Wesentlichen gleicher Eignung bevorzugt.

Ihre Ansprechpartner

Barbara v. Merzljak
Co-Director Business Operations
Tel: +49 89 1218-1514

Alexander Ungermann
Personalgewinnung
Tel: +49 89 1218-1706

Jetzt online bewerben (https://apply.jcd.de/Apply.php?iJobAdID=98501&tc=3-11)

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Marketing, Vertrieb, HR sowie Einkauf & Logistik. Jetzt auf "direkt
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die zur Vielfalt unseres Unternehmens beitragen. Dein Kontakt BMW
Recruiting Team [email protected] DIS AG Office & Management Landsberger
Straße 290a 80687 München Telefon: +49 89 205074 518

Möchten Sie bei unserem namhaften Kunden BMW in München arbeiten?
Dann sind Sie hier richtig! Es erwartet Sie eine spannende und
interessante Position. Ihre Aufgaben Sie arbeiten in Projekten an der
Analyse der Daten zusammen mit den Fachbereichen und klären das
Nutzenpotential. Dazu präzisieren Sie die entsprechenden fachlichen
Fragestellungen und bewerten die zur Verfügung stehenden
Datenquellen, die Sie an die Plattform anbinden. Sie entwickeln
schnell Verständnis für die Geschäftsprozesse und die generierten
Daten und überführen für das Business relevante Informationen in
produktive Lösungen. Dazu gehen Sie agil vor und nutzen modernste
Methoden aus Advanced Analytics, Machine Learning, agiler
Software-Entwicklung, etc. Ihr Profil Abgeschlossenes Studium der
Informatik oder vergleichbare Qualifikation Fundierte Erfahrung im
Bereich Softwareentwicklung, insbesondere im agilen Umfeld Erfahrung
in der Verarbeitung großer strukturierter und unstrukturierter
Datenbestände, idealerweise im Big Data Umfeld (Hadoop-Stack, Spark,
HIVE, Splunk etc.) Erfahrung mit Visualisierung und den bei BMW
eingesetzten Plattformen (Tableau, Qlik, Celonis, Palantir Foundry)
Grundkenntnisse in Cloud Technologien und –Architekturen,
idealerweise im Umfeld AWS Kenntnisse in einer Programmiersprache,
z.B. Scala, Java, Python. Grundkenntnisse im Machine Learning
Idealerweise Erfahrung mit Backend- (z.B. JEE) und/oder
Web-Entwicklung (z.B. Angular, Bootstrap) Grundkenntnisse in
Produktion und Supply Chain Technologien Hohe Einsatzbereitschaft und
Verantwortungsbewusstsein Teamgeist, Kreativität und Spaß an
projektbezogener Arbeit Gute Deutsch- und Englischkenntnisse Das
bieten wir Ihnen Unbefristeter Arbeitsvertrag bei einem der weltweit
größten Personaldienstleister 30 Tage Urlaub Work-Life-Integration
Attraktives Arbeitsumfeld Zahlreiche Mitarbeiter Benefits Tarifliches
Urlaubs- und Weihnachtsgeld Hauseigene Kantine zu BMW-Mitarbeiter
Konditionen Gute Erreichbarkeit mit öffentlichen Verkehrsmitteln Bei
uns wird Ihr Berufsweg zum persönlichen Walk of Fame – wir bieten
Ihnen spannende Perspektiven in den Bereichen Assistenz & Sekretariat,
Marketing, Vertrieb, HR sowie Einkauf & Logistik. Jetzt auf "direkt
bewerben" klicken! Wir freuen uns über die Bewerbung von Menschen,
die zur Vielfalt unseres Unternehmens beitragen. Dein Kontakt BMW
Recruiting Team [email protected] DIS AG Office & Management Landsberger
Straße 290a 80687 München Telefon: +49 89 205074 518