0 Jobs für Data Scientist in Deutschland

Künstliche Intelligenz revolutioniert den Kanzleialltag – und DATEV gestaltet diesen Wandel aktiv mit. Unser Ziel: Kernprozesse unserer Mitglieder durch KI-Lösungen optimieren und erweitern. Dabei fördern unsere innovativen Tools die Zusammenarbeit und den erfolgreichen Technologiewandel.

Die Homebase Data & AI ist die organisatorische Heimat der Mitarbeitenden mit Fokus auf dem Kontext Daten & künstliche Intelligenz.

Wir suchen für den Einsatz in datengetriebenen Business Cases eine*n Data Scientist (m/w/d). Als Data Scientist bist Du in wechselnden Projekten für die Auswahl, Anpassung und Implementierung von Analytics-Algorithmen und Machine Learning Modellen (z. B. zur Vorhersage, Klassifikation und zum Clustering von Daten) sowie die Sicherstellung der Modellgüte und rechtskonformen Datenverwendung verantwortlich. Durch Deinen Einsatz ermöglichst Du datengetriebene Entscheidungen sowie Innovationen und maximierst somit den Unternehmenswert der Daten.

• Entwicklung geeigneter Vorgehensweisen zur Datenaufbereitung (Pre-Processing) unter Berücksichtigung möglicher Verzerrungen innerhalb der Daten (Bias).

• Durchführen von Explorationen, Aufstellen von Hypothesen bzw. Modellen und deren Überprüfung mit statistischen Methoden, um dadurch Zusammenhänge bzw. neue Erkenntnisse aus Daten ermitteln zu können.

• Selektieren, adaptieren und implementieren von geeigneten Analytics-Algorithmen bzw. Machine Learning Modellen.

• Zielgruppengerechte Kommunikation und Visualisierung gewonnener Erkenntnisse.

• Zusammenarbeit mit Data Engineering für die Produktivsetzung der Algorithmen bzw. Modelle.

• Gemeinsame Gestaltung und kontinuierliche Verbesserung des Entwicklungsprozesses von KI-Lösungen mit andern Data Scientists sowie Software-, Requirements- und Data Engineers und anderen Stakeholdern im flexiblen Umfeld.

• Erfolgreich abgeschlossenes Studium in Informatik, Mathematik, Wirtschaftsinformatik oder Physik, mit stark ausgeprägtem analytischem Know-how, mathematischem Verständnis und Erfahrung mit NLP.

• Berufserfahrung in der Erstellung umfangreicher Analysen, ihrer Integration in automatisierte und produktive Prozesse sowie mehrjährige Tätigkeit im Bereich Data Science, Machine Learning und Deep Learning.

• Regelmäßige Anwendung von Programmierkenntnissen, insbesondere Python (gelegentlich auch Java), als integraler Bestandteil der täglichen Arbeit.

• Erfahrungen mit Linux und der Handhabung großer Datenmengen, beispielsweise mit Hadoop Framework.

• Sichere Kommunikation mit Teamkolleg:innen und Stakeholdern, wobei komplexe Sachverhalte verständlich für die Adressat:innen dargestellt werden.

• Weiterentwicklung der bestehenden Berufserfahrung im Technologie-Umfeld.

• Kenntnisse zu den Abläufen im DATEV-spezifischen Umfeld.

• Möglichkeit zur Arbeit im "Homeoffice" im Sinne einer mobilen, ortsunabhängigen Arbeit innerhalb Deutschlands inkl. der dazugehörigen technischen Ausstattung
• Flexible Arbeitszeit inkl. der Möglichkeit zum Freizeitausgleich für eine gute Work-Life-Balance
• Großes Angebot an fachlichen und persönlichen Weiterbildungen innerhalb und außerhalb der Arbeitszeit sowie zahlreiche interne Communities zum Vernetzen und gegenseitigen Lernen
• und vieles mehr…

Kontakt:

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Denke an die digitalen Werkzeuge, die wir täglich nutzen - vom virtuellen Einkauf bis zu kontaktlosen Zahlungen. Sie gestalten unsere Zukunft. Schließe dich uns an, um die Zukunft des digitalen Bankwesens in einer innovativen Umgebung zu beeinflussen. Mit unserem globalen Zusammenschluss sind die Möglichkeiten für persönliches Wachstum und Zusammenarbeit groß.

Location: Eschborn

Job type: Hybrid

APCT1_DE

Respeito, Precisão, Criatividade e Sentido Crítico. Identificas-te com estes valores? Continuemos…

A Closer foi criada em 2006, é uma empresa 100% portuguesa e está centrada na área das tecnologias. Trazemos a inovação no nosso ADN e estamos presentes em mais 4 países.

Orgulhamo-nos do nosso crescimento constante e do impacto que temos no mercado tecnológico, estando sempre conscientes da importância do papel dos nossos colaboradores no percurso deste caminho.

Estamos a recrutar um(a) Data Scientist disposto(a) a aceitar um novo desafio junto da nossa equipa Closer.

Serás o/a tal?

•Experiência na criação de Modelos Preditivos e Machine Learning;

•Proeficiência em Python;

•Bom sentido crítico;

•Autonomia;

•Proactividade;

Acreditamos ser os tais:

•Oferecemos a possibilidade de trabalhares com uma equipa multidisciplinar;

•Temos uma excelente vista sob Lisboa;

•Ajudamos-te a alcançar a felicidade;

• Podes trazer ténis/sapatilhas para o trabalho;

• Também temos snacks e alternativas mais saudáveis, como fruta.

Oh.e já agora, também temos:

• Vários projectos desafiantes e complexos;

•Oferecemos um ambiente de trabalho estimulante;

•Trabalhamos com Clientes e Parceiros de classe mundial.

Se acreditas nesta combinação perfeita tal como nós acreditamos, envia o teu Cv

Spacewise is an innovative B2B SaaS proptech company headquartered in Zurich, Switzerland, with a rapidly expanding presence. Spacewise is revolutionizing the way commercial real estate landlords market, manage, and monetize their portfolios and spaces online to supercharge the value of their consumer facing properties. Spacewise also operates the premier online marketplace for short-term, pop-up, and promotional spaces.

For landlords, we provide user-friendly software tools to digitize property and space inventory for seamless space marketing and management. Our platform is trusted by major organizations such as Regency Centers and Centennial in North America; and Migros, Coop, SBB, Swiss Post, and Wincasa in Europe, just to name a few. Furthermore, we enable lead generation and booking activities for many of the world’s most renowned brands. Tenants of all sizes use our platform to effortlessly search, evaluate, and book the perfect location for their marketing activations, events, pop-ups, and promotions.

Are you passionate about digital transformation and helping to shape the future of one of the biggest asset classes in the world? Do you like working in an innovative, fast-paced environment? If so, the role as Data Scientist at Spacewise could be the perfect opportunity for you.

• Develop predictive models and algorithms that analyze various data inputs, including location intelligence, foot traffic, and economic trends, to improve decision-making processes.
• Collaborate with cross-functional teams (engineering, product, and business) to integrate machine learning models and data insights into the product ecosystem.
• Identify, collect, and analyze relevant data sources to deliver insights that enhance property pricing strategies, space utilization, and tenant matching.
• Create and refine forecasting models to predict future trends and outcomes, such as foot traffic patterns, sales potential, and space demand.
• Perform exploratory data analysis and statistical modeling to understand key business drivers and deliver actionable recommendations.
• Build and maintain scalable data pipelines to enable real-time analytics and reporting.
• Communicate complex analytical results to both technical and non-technical stakeholders, contributing to the strategic direction of the company.

• Degree in Data Science, Statistics, Applied Mathematics, Computer Science, or related field.
• Proven experience in building machine learning models and algorithms, preferably within the real estate, retail, or spatial analytics domains.Strong proficiency in data analysis and visualization tools (e.g., Python, R, SQL, Pandas, Matplotlib).
• Experience working with large datasets and applying statistical techniques such as regression, clustering, and time-series analysis.Familiarity with location-based analytics and spatial data, including the use of geospatial data for forecasting and analysis.
• Experience developing pricing algorithms or revenue management systems is a strong plus.Ability to communicate complex concepts clearly to both technical and business teams.
• Familiarity with cloud-based platforms such as AWS, GCP, or Azure for data storage and analysis.
• Strong problem-solving skills and the ability to work independently or as part of a team.

Preferred Qualifications:

• Experience with recommendation systems or personalization algorithms.
• Knowledge of optimization techniques for pricing and inventory management.
• Familiarity with foot traffic data, sales potential forecasting, and revenue optimization strategies in commercial spaces.

• Competitive salary and benefits package.
• Opportunity to work in a dynamic and innovative environment at the intersection of real estate and technology.
• Remote-friendly workplace with flexible working hours.
• Growth opportunities in a rapidly scaling company.

Please submit your resume and a cover letter detailing your experience and why you're a good fit for this role.

Enterprise Bot is a rapidly expanding conversational AI technology scale-up company that has been providing advanced automation solutions to large companies worldwide since 2017. Our cutting-edge technology is trusted by well-known companies such as SIX Group (Swiss Stock Exchange), SWICA, Generali, and others to enhance customer contact, automate processes, and drive revenue growth. Our global team comprises over 60 highly skilled professionals from diverse backgrounds.

Fostering a truly open and progressive company culture with state-of-the-art engineering solutions - working at Enterprise Bot is a refreshing mix of purpose, challenge, and fun.

We are looking for a full-time Data Scientist for our Bangalore office. As an integral part of the team, you will work within multi-disciplinary teams and with external collaborators to identify opportunities for leveraging data, developing proof-of-value prototypes and implementing data science and AI solutions that solve R&D enterprise level problems.

Role & Responsibilities:

• The data scientist will be responsible for design and development of deep learning & LLM based models on unstructured and Structured Data.
• Will focus on not just on designing the algorithm but also on delivering it at scale.
• Will build and deploy deep learning techniques in production.
• Design and develop software modules that perform data ingest, data transform, and analytics tasks.
• Deliver customized solutions in a timely manner.
• Monitor and maintain high quality and accuracy of models during deployment.

• Candidates should have 2-3 years of experience in the fields of machine learning, deep learning, LLM-based models, NLP, and data science.
• Strong skills in Python.
• Hands-on experience in developing & running machine learning applications in production.
• Familiarity with training and serving large language models in production.
• Hands on experience in building and implementing advanced statistical analysis and machine learning and data mining.
• Strong understanding of fundamentals of Computer Science.

• A culture comprised of diverse, global teams who have a passion for collaboration and client service.
• A competitive salary and scope for further advancement
• State-of-the-art engineering solutions - working at Enterprise Bot is a refreshing mix of purpose, challenge, and fun

If you’re passionate about technology, love solving complex problems, and are eager to be part of a dynamic, innovative team, your journey starts here. Join us in harnessing cutting-edge AI solutions to drive data-driven insights and make a lasting impact.

We’re looking for an experienced Data Scientist to join our growing team! If you’re passionate about turning complex, scattered data into meaningful insights and have a strong command of Python and its data libraries — we want to hear from you.

• Aggregate and process structured and unstructured data from multiple sources (APIs, databases, CSVs, etc.)
• Clean, transform, and analyze datasets for actionable insights
• Apply clustering techniques and segmentation (e.g., K-Means, DBSCAN, hierarchical clustering)
• Build and evaluate data models for internal tools and business needs
• Communicate findings through clear visualizations and concise summaries
• Collaborate closely with developers, product managers, and business stakeholders

• Minimum 3 years of hands-on experience in data science or a similar analytical role
• Strong proficiency in Python and commonly used libraries: pandas, numpy, scikit-learn, matplotlib, seaborn, etc.
• Solid understanding of data structures, statistics, and machine learning fundamentals
• Experience working with relational databases (SQL)
• Ability to structure and interpret complex datasets independently
• Communication skills, both written and verbal
• References from previous projects or employers are required

Nice to Have:

• Experience with cloud platforms (e.g., Azure, AWS, GCP)
• Familiarity with time-series data, anomaly detection, or recommender systems
• Exposure to data visualization tools like Tableau or Power BI

We offer a range of benefits to support your growth, wellbeing, and long-term success:

• Modern office in a central location, with collaborative workspaces and a friendly team culture
• Extra vacation days beyond the national standard
• Annual holiday and Christmas bonuses
• Performance-based bonuses tied to individual and team results
• Equity opportunity through our ESOP (Employee Stock Ownership Plan)

Join Recommend as a Data Scientist and innovate content solutions for global brands. Be part of a dynamic team in thriving industry. Your expertise can make a difference!

Job Summary

The Data Scientist – AI, LLM & Data Analytics will join the Inpixon team in Frankfurt, working in a hybrid model with regular in-office days each week.
This full-time role focuses on the development and deployment of Large Language Models (LLMs), the application of advanced AI technologies, and in-depth data analytics. The goal is to leverage complex datasets, extract actionable insights, and transform them into innovative, AI-driven product solutions.

Duties/Responsibilities

LLM Development & Fine-Tuning: Train, optimize, and evaluate Large Language Models (e.g., GPT, LLaMA, Mistral, Claude).

AI Product Integration: Implement LLM-powered features and AI workflows into existing and new applications.

Data Analysis & Insight Generation: Analyze large and complex datasets (structured & unstructured) to support data-driven decision-making.

Data Engineering & Feature Engineering: Prepare, transform, and enrich datasets for analytics and model training.

Visualization & Storytelling: Build dashboards and reports to present analysis and AI results clearly to both technical and non-technical stakeholders.

AI Research & Innovation: Identify new use cases and opportunities for LLMs and data science methodologies.

Evaluation of AI & Analytics Tools: Select and benchmark tools and frameworks for performance, efficiency, and scalability.

Collaboration: Work closely with product management, engineering, data engineering, and other departments to define and implement AI strategies.

Preferred Skills/Abilities

Degree in Computer Science, Data Science, Statistics, Mathematics, Computational Linguistics, or a related field.

Strong experience with LLMs (training, fine-tuning, prompt engineering, RAG) and frameworks like Hugging Face Transformers, LangChain, or LlamaIndex.

Solid expertise in data analytics, statistics, and visualization (Python: Pandas, NumPy, matplotlib, Plotly; BI tools like Tableau or Power BI).

Experience with machine learning and natural language processing.

Proficiency in SQL and working with large-scale databases.

Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.

Strong analytical and conceptual skills with the ability to clearly communicate complex concepts.

Excellent written and spoken English; German language skills are a plus.

Hybrid working model with flexible home office days

Modern workplace environment with the latest tools and technology

Open and collaborative company culture with flat hierarchies

Join us on our journey – apply now and let’s shape the future together.

Analyze complex data sets and develop AI/ML models using Python to drive actionable insights and predictive analytics. Apply statistical techniques and machine learning algorithms to solve business problems and optimize data-driven strategies.

Place : ChennaiExperience : 8-12 YearsNo of openings : 1

Skills : Python, AI/ML Models, Analytics

Analyze complex data sets and develop AI/ML models using Python to drive actionable insights and predictive analytics. Apply statistical techniques and machine learning algorithms to solve business problems and optimize data-driven strategies.

Place : ChennaiExperience : 8-12 YearsNo of openings : 1

Skills : Python, AI/ML Models, Analytics

Analyze complex data sets and develop AI/ML models using Python to drive actionable insights and predictive analytics. Apply statistical techniques and machine learning algorithms to solve business problems and optimize data-driven strategies.

Place : ChennaiExperience : 8-12 YearsNo of openings : 1

Skills : Python, AI/ML Models, Analytics