9 data scientist jobs found

Job ID 100688 Pursue HypoVereinsbank - UniCredit Bank GmbH Competence Line Digital Functional area Digital & Data Location Munich country Germany contact Talent Acquisition Manager: Alida Poclitariu (alida.poclitariu@unicredit.de) Casting date 10/2026 Job level Graduates/Junior Level & Trainees Type of contract Indefinite Working time model Full-time The   “UniCredit Graduate Program”   is the ideal entry point into your career – with an inspiring and varied journey at one of Europe’s leading financial institutions. Our   12-15 month trainee program   offers you the opportunity to work in a future-oriented, international, and supportive environment. Through   rotations   in key banking functions, you will gain a comprehensive understanding of the financial industry and can actively contribute to the transformation towards   data-driven and AI-supported...

For a long-term project with our client in the Solothurn area (with remote work component), we are looking for a Professional Data Scientist / DevSecOps Engineer (m/f/d) - Data Engineering / Azure Synapse / ETL / Cloud DWH. Key Facts Start: June 15, 2026 Duration: 6 months / Utilization: 100% Type of assignment: Location: Remote Country of assignment: Switzerland Your tasks Collaboration with technical stakeholders to develop solutions that prioritize impact and benefits. Development and provision of data foundations for professional decision-makers Further development and maintenance of data marts, data lakes and cloud data warehouses, as well as ensuring data quality. Development and operation of a digital twin product with near real-time data and stream processing functionalities. Design and development of automated, scalable data pipelines as well as integration and deployment workflows in ETL processes and their documentation Expansion and...

Berlin nationwide/remote Düsseldorf Heidelberg Ulm Professional experience Full/Part-time For over 35 years, we have been helping companies create real added value from data. To achieve this, we develop customized data, AI, and software solutions and, as a specialized boutique service provider, support our clients throughout the entire data-to-value journey – from the initial idea to productive application. In our projects, we combine data engineering, machine learning, generative AI, and software engineering with in-depth industry knowledge and methodological clarity. With over 170 employees, we work on challenging projects in sectors such as life sciences, finance, and manufacturing, developing sustainable solutions together. As an AI Engineer / Data Scientist (m/f/d), you will work in a team on practical GenAI, machine learning, and data science solutions. In collaboration with our clients, you will develop applications that sustainably...

Munich YOUR NEW ROLE As a Senior Software Engineer (f/m/d) at Planerio, you will play a key role in building and evolving our core platform, with a growing focus on   AI-powered product features . You will work on cloud-native services, take ownership of existing systems, and continuously improve them, from refactoring and modernization to reducing technical debt. A central part of your role will be contributing to our   "bets"   team: high-impact initiatives that shape the future of our product. The first of these is the   integration of AI and LLMs into our platform , enabling intelligent, context-aware experiences for our users, built with a strong focus on data privacy, user rights, and permissions. You will be part of a collaborative, agile team, including a Tech Lead, Product Owner, Data Scientist, and Full Stack Developer, working closely across disciplines to deliver reliable, scalable, and innovative solutions. Develop, maintain, and...

Type of employment Full-time Workplace Berlin Your role We are looking for an experienced   AI/ML Engineer   to join our   Central Data Platform   team and take ownership of the machine learning and GenAI infrastructure that powers advanced analytics and AI use cases across the organisation. In this role, you will design, build, and maintain end to end ML pipelines in Vertex AI, ensuring that models move seamlessly from prototype to production ready, monitored, cost efficient, and compliant pipelines. You will also pioneer GenAI enablement, including retrieval augmented generation, embeddings, and AI driven applications, while embedding governance, reproducibility, and scalability from day one. This is a pivotal position with high impact on how AI and machine learning capabilities are delivered, scaled, and governed at Sunday Natural. You will act as the bridge between Data Engineers, Senior Data Analysts,...

Location   : We are flexible! Come and join us either in Hamburg, Berlin, Barcelona or Athens. Freenow empowers smarter mobility decisions helping people to move and cities to thrive. Be ready to work in a multinational, diverse, highly motivated and collaborative team of passionate developers who strive for excellence and like to have fun. Are you passionate about data engineering and ready to revolutionize how data is managed and utilized within an organization? We are looking for a skilled and innovative   Analytics Engineer   to join our dynamic team and help us implement a cutting-edge Data Mesh architecture. At Freenow we believe in data driven decisions that drive our business forward. We are currently transitioning into a data mesh architecture to establish a very close collaboration between data engineers, data analysts, data scientists and machine learning engineers. Are you ready for your next ride? YOUR DAILY ADVENTURES WILL INCLUDE:...

Remote in our day-to-day work. On site when it matters. We work remotely by default – focused, efficient, and with full ownership. For larger features, architectural decisions, and real brainstorming sessions, we come together in Berlin – fast, hands-on, and without unnecessary meeting overhead. We use AI to accelerate – not to replace thinking. We design the system, steer the output, and take responsibility for what we ship. Almost where it makes sense. Careful where it matters. Your mission As an   AI Engineer (f/m/d)   , you take ownership of the architecture and operation of our AI agents. You work closely with Data Scientists to turn AI prototypes into robust, reliable, and scalable production systems – and continuously evolve them. Design, Build & Run:   Architect reliable AI systems Measure & Improve Quality:   Define metrics, run systematic evaluations, and conduct A/B testing Bridge the Gap:   Work closely with Data...

The  Quant DevOps Engineer   o wns and operates the application engineering platform, cloud infrastructure, and data execution environment that application and modeling workloads depend on. The role is accountable for the end‑to‑end reliability, scalability, security, performance, and cost efficiency of the platform, supporting large‑scale, data‑intensive and compute‑heavy workloads such as parallel Databricks clusters and high‑memory systems. This position requires broad and deep technical expertise, strong operational judgment, and the ability to act as a central technical interface between engineering teams, IT operations, security/SecOps, and data users. It is a senior ownership role with significant impact on delivery speed, platform stability, and infrastructure cost. Platform & Infrastructure Ownership End-to-end ownership and delivery accountability for the application execution platform and production model runs (Databricks, Servers)....

We are seeking a highly proficient Deep Learning Specialist to spearhead initiatives aimed at optimizing B2B processes within the industrial sector. If you are passionate about leveraging deep learning techniques to enhance operational efficiency and drive business growth, we want to hear from you. Responsibilities : Data Analysis:   Collaborate with data scientists and analysts to gather, preprocess, and analyze large datasets from B2B process industry systems such as SAP and Salesforce. Deep Learning Model Development:   Design, train, and optimize deep learning models, including neural networks, tailored to address specific challenges in B2B processes. Customer Interaction Enhancement:   Develop deep learning solutions to improve customer interactions, including chatbots, recommendation engines, and personalization algorithms, integrated with SAP and Salesforce platforms. Marketing Optimization:   Create predictive models to optimize marketing...