Postdoctoral researcher focusing on hardware-aware quantum machine learning within Intelligent Computing Architectures at the University of Southern Denmark.
Responsibilities
Design, implement, and simulate hybrid quantum-classical learning models
Investigate effects of noise, connectivity, and resource limitations on learning performance
Conduct reproducible experimental evaluations and compare with classical baselines
Support collaboration with Danish and international partners, contribute to research proposals, funding applications, publications, technical documentation, and project reports
Requirements
PhD in Computer Science, Computer Engineering, Electrical Engineering, Quantum Computing, Machine Learning, or a closely related field
Lead Data Scientist leading AI and ML initiatives for fraud detection and risk intelligence within Mastercard’s Security Solutions portfolio.
Responsibilities
Lead and directly contribute to the design, development, deployment, and optimization of machine learning models for fraud detection, risk scoring, anomaly detection, and related security applications.
Define, build, and guide scalable AI and ML pipeline architecture supporting model training, validation, deployment, monitoring, retraining, and continuous improvement.
Hands‑on design and implementation of Generative AI and Agentic AI solutions leveraging LLMs, RAG, reasoning and planning workflows, Chain‑of‑Thought prompting, tool/function calling, and multi‑agent orchestration.
Work with large‑scale transactional datasets using distributed computing technologies such as Spark and Databricks.
Implement MLOps best practices, including CI/CD, model governance, observability, experimentation frameworks, and performance monitoring.
Lead end-to-end design, development, deployment, and adoption of scalable data science and AI solutions across multiple business domains.
Responsibilities
Lead the end-to-end lifecycle of advanced analytics, machine learning, Generative AI, and Agentic AI solutions
Translate ambiguous business problems into well-defined data science hypotheses, solution designs, success metrics, and scalable implementation roadmaps
Develop and maintain advanced predictive/forecasting models for sales, revenue, expense management, and cash-flow forecasting
Design, architect, train, and deploy advanced machine-learning frameworks and traditional time-series models
Own model validation, explainability, reliability, documentation, monitoring, and governance
Requirements
Bachelor’s or Master’s degree in computer science, Data Science, Information Technology, or a related technical discipline
Nice to have: experience in healthcare, commercial, supply chain, or financial analytics environments
Nice to have: good understanding of statistical forecasting methodologies
Senior Data Scientist to lead end-to-end design, development, deployment, and adoption of scalable data science and AI solutions across multiple business domains.
Responsibilities
Lead the end-to-end lifecycle of advanced analytics, machine learning, Generative AI, and Agentic AI solutions
Translate ambiguous business problems into well-defined data science hypotheses, solution designs, success metrics, and scalable implementation roadmaps
Develop and maintain advanced predictive/forecasting models for sales, revenue, expense management, and cash-flow forecasting
Design, architect, train, and deploy advanced machine-learning frameworks and traditional time-series models
Own model validation, explainability, reliability, documentation, monitoring, and governance
Requirements
Bachelor’s or Master’s degree in computer science, Data Science, Information Technology, or a related technical discipline
Nice to have: experience in healthcare, commercial, supply chain, or financial analytics environments
Nice to have: statistical forecasting methodologies
Lead analytics engagements to evaluate client behaviours and optimize business decisions related to product, campaigns, pricing, and other business areas for the Credit Cards portfolio.
Responsibilities
Lead analytics engagements for Credit Cards portfolio
Integrate domain knowledge with analytical capabilities to deliver value to stakeholders
Identify and leverage statistical techniques to extract actionable insights
Apply advanced machine learning algorithms and AI-driven methodologies
Build data pipelines and visualizations from multiple data sources
Requirements
Degree in a quantitative field such as mathematics, statistics, computer science, economics, engineering, physics, or business
Advanced degree such as MMA, MBAN, MSc, MA, or MBA
Nice to have: Digital analytics experience (Adobe)
Lead and mentor a team of UX designers, define and drive the overall user experience design strategy, collaborate with product managers and engineers, conduct user research and usability testing, create wireframes, prototypes, and high-fidelity designs, ensure consistency and quality of design deliverables, stay up-to-date with industry trends and best practices in UX design.
Responsibilities
Lead and mentor a team of UX designers
Define and drive the overall user experience design strategy
Collaborate with product managers and engineers to gather requirements and iterate on design solutions
Conduct user research and usability testing to inform design decisions
Create wireframes, prototypes, and high-fidelity designs for digital products
Associate Director, AI Forecasting, will lead the operation, expansion, and governance of AI and machine learning models used to forecast commercial volume across brands and geographies.
Responsibilities
Lead the operation and maintenance of AI/ML forecasting models, ensuring their ongoing accuracy, reliability, performance, and fitness for use in commercial forecasting.
Ensure model outputs are delivered on schedule to support financial planning cycles and downstream business deadlines.
Define and maintain standards for developing new forecasting models, including data requirements, feature engineering, model selection, validation, documentation, integration, and handoff.
Partner with forecasters, brand teams, finance leaders, and technology teams to understand business dynamics, curate inputs, determine when model changes are warranted, and integrate approved changes into operational workflows.
Translate complex or counterintuitive model results into clear, well-supported business explanations that help leaders understand and confidently use model outputs.
Requirements
Bachelor’s degree in a quantitative field such as Statistics, Data Science, Computer Science, Engineering, or Mathematics
As Manager, AI/ML Forecasting in the Global Forecasting Center of Excellence, you will use artificial intelligence and machine learning to forecast organizational sales, leading a small team of data scientists and partnering with finance, technology, and business teams to ensure model outputs are reliable and explainable.
Compensation
The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range.
Responsibilities
Operate and maintain AI/ML sales forecasting models, monitoring accuracy, reliability, and performance, and resolving or escalating issues.
Deliver model outputs on schedule to support financial planning cycles and downstream deadlines.
Build and refine new forecasting models using established standards for data, feature engineering, validation, and handoff.
Partner with stakeholders to understand business dynamics, curate inputs, and implement approved model changes.
Explain model results in clear, well-supported terms that withstand leadership scrutiny, including counterintuitive outcomes.
Requirements
Bachelor’s degree in a quantitative field such as Statistics, Data Science, Computer Science, Engineering, or Mathematics
master’s preferred
Nice to have: pharmaceutical commercial analytics
Nice to have: biotech commercial analytics
AI/ML Computational Science Specialist
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