Principal scientist computational chemistry állás, munka

• Designing and developing data-driven solutions using machine learning, language models, and statistical modelling,
• Analysing, interpreting, and visualizing data to support business opportunities,
• Preparing and delivering presentations of results to management and clients,

• Work with OPCM and business teams to understand Data Science and AI-based solution requirements and translate them into technical needs.
• Decrypt and translate business problems into technical solutions and to vulgarize complex and technical topics to non-experts.

• collaborate on the design and development of ML-based applications and its backend components;
• help to select the most applicable solutions for a business problem;
• write clean, efficient, and well-documented code;
• contribute to our MLOps processes;

What awaits you? •Work as a fully integrated member of the financial reporting team, supporting daily operations. •Participate in system testing and optimization for AI-enabled financial tools. •Dive into diverse challenges: from AI chatbots, machine learning and data analytics to software...

• Design and optimize molecules guided by data-driven hypotheses, in partnership with chemists, biologists, and other crop protection scientific experts
• Develop and implement computational workflows to support molecular design
• Create structure-property relationships to guide design decisions

EINFÜHRUNG We offer an exceptional opportunity for a professional seeking a challenging and impactful role in a fast-growing healthcare technology company. Our client is at the forefront of medical device innovation, focusing on Continuous Glucose Monitoring (CGM) systems that transform patient...

• Maintain and manage FI data operations, ensuring accuracy and consistency across systems
• Support annual planning templates and collaborate with business units using SAP BW and MS Power BI tools for planning cycles

Design and deliver complex mission-critical projects across our key business areas (e.g., pricing, supply chain, order/warehouse planning)....