Data scientist állások, munkák

• Shaping transformations in S/4HANA transformation projects from planning to execution
• Designing and developing SAP-based software solutions, architectures, and transformation scenarios
• Executing SAP data migrations and guiding colleagues throughout the process

Perform research in the field of closed-loop medication systems, aiming at point-of-care antibiotics level measurement from whole blood and utilizing this data for automated dose control...

• Owning the end-to-end delivery lifecycle of Product Order Management and Shopping Cart
• Acting as the go-to technical delivery partner aligning business, IT, architecture, and leadership
• Shaping and prioritizing the backlog together with stakeholders

Up for a new challenge? Join our Transaction Service team, where we combine operational excellence with strategic relevance, and put your finger right on the pulse of international business as we help our clients run their operations efficiently, securely and globally....

• Perform adds, deletes, changes to the program within the agreed SLA
• Support assets and contract management by administrating entitlements and program statuses
• Set and/or maintain customer accounts
• Take part in inventory management by maintaining the database and validating data

Own and continuously develop the Finance systems landscape from a business perspective, ensuring it supports Finance strategy, regulatory requirements, and business growth...

Senior Java Engineer – Banking Platform (Hybrid) On behalf of our client, a leading Swiss financial institution, Swisslinx is looking for an experienced Senior Java Engineer to join a team developing a strategic client-data platform. Senior Java Engineer – Banking Platform (Hybrid) Job description:...

• Translate business requirements into analytics solutions and collaborate across the full project lifecycle.
• Operate and optimize data pipelines (ERP, S2P suite, AP, vendor master) with strong governance and master data management standards.

• Define, maintain, and evolve DLP governance requirements, internal security policies, and written rules in alignment with the ICT risk framework and regulatory expectations.
• Establish clear requirements for information handling, classification, data transfer, endpoint usage, and media protection etc.

• Contribute biological expertise and domain knowledge to the development, validation, and implementation of AI-supported candidate gene discovery approaches.
• Identify, analyse, integrate, and interpret complex multi-omics datasets to support candidate gene discovery and trait development.

• Global product ownership for safety, health, and environmental compliance systems
• Monitoring corrective and preventive actions (CAPAs) and driving consistent application across global sites
• Documentation of process features, user stories, and requirements in technical platforms

• Autonomous analysis and documentation of client lifecycle and onboarding processes
• Encouraging innovation and maintaining links with different group departments
• Assisting in gathering and structuring business requirements in collaboration with business and IT stakeholders

• Own the full commercial performance of your categories, including P&L, inventory health, growth, and profitability drivers
• Define and execute category strategies based on customer behavior, market trends, competitor dynamics, and commercial opportunities

• Identify and analyze customer-specific requirements, and recommend process improvement strategies across all projects.
• Develop and standardize QA program for projects according internal and customer requirements.

• Design and maintain enterprise-wide data models including conceptual, logical, and physical layers
• Lead data architecture for core platforms and support cross-value-stream data requirements
• Define data standards, naming conventions, and modelling best practices

• Lead the requirements during the BBP workshops.
• Translate business needs into clear, structured functional requirements.
• Support the Sr. Lead Consultant the coordination of business stakeholders and the delivery team (Configuration, data conversion and testing teams)

• Executing system data maintenance and administrative activities in Cornerstone and all relevant Learning management systems
• Providing non-systems related Learning process support

• Analyze available data sources for measuring the usage of AI-assisted software development tools (e.g., activity logs, usage metrics, prompt data, and other relevant sources)
• Define meaningful KPIs to measure adoption, engagement, productivity support, and potential quality-related effects

• The data platform end to end: ingestion, storage, and the query paths that keep millions of records fast on screen. You design it, you build it, you run it in production.
• The platform layer, directly with the CTO: infrastructure, deployments, and the path to production for the whole team.

• The customer from the first calls on: take apart their decision problem live, pre-sales, and turn it into a first mini model.
• Scope and lead the development project end-to-end; own the result, not just the planning and organisation.