Senior Applied Scientist Job at Microsoft Corporation (Copenhagen)

Senior Applied Scientist

Microsoft Corporation

Location:
Denmark , Copenhagen

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

Do you want to shape the future of the autonomous enterprise and lead the development of intelligent, agent-first experiences that transform how businesses operate? The Business and Industry Solutions (BIS) team is looking for a Senior Applied Scientist to drive innovation at the intersection of AI, experimentation, and enterprise systems. In this role, you will design and evaluate autonomous agents that deliver measurable improvements in accuracy, latency, and cost-efficiency. You’ll lead rapid experimentation cycles, develop robust evaluation frameworks, and apply advanced techniques like reinforcement learning to enable multi-step reasoning and decision-making. You’ll collaborate across engineering, product, and partner teams to ensure agents are performant, secure, reliable, and extensible—empowering customers and partners to build on our platform. This is your opportunity to influence the next generation of AI-native business applications and deliver real-world impact at scale.

Job Responsibility:

Deliver impactful solutions by executing highleverage data science and analytics initiatives within a product area or feature team, ensuring measurable improvements to user and business outcomes.
Lead the design and implementation of advanced model finetuning pipelines, including Reinforcement Learning from Human Feedback (RLHF), to align AI system behavior with user intent and improve performance in realworld scenarios.
Own complex, endtoend projects that combine technical depth with crossfunctional collaboration, influencing feature direction and prioritization rather than broad organizational investment decisions.
Foster alignment and trust across partner teams through clear, actionable communication and collaborative problemsolving.
Develop and maintain robust measurement systems, experimentation frameworks, and causal inference methodologies tailored to dynamic AI systems and enterprisescale environments.
Mentor and support peers by sharing best practices, reviewing designs, and contributing to a collaborative, highperformance team culture.
Leverage AI to streamline workflows and enhance team productivity through intelligent automation and innovation.

Requirements:

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
OR equivalent experience.
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Prior expertise in natural language processing (NLP)
Strong foundation in large language model (LLM) development, evaluation, and fine-tuning.
Hands-on experience in applying advanced fine-tuning techniques—including instruction tuning, reinforcement learning from human feedback (RLHF), and tool-augmented generation—to build agents capable of multi-step reasoning and decision-making.
Familiarity with prompt/context engineering, context-aware orchestration, and integrating LLMs with external tools and APIs is essential.
Comfortable working in a fast-paced, experimentation-driven environment, leveraging both offline and online evaluation methods to iterate rapidly and optimize agent behavior.
A deep understanding of the challenges and opportunities in building AI-native enterprise applications

Nice to have:

Master's Degree in Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
OR equivalent experience.
3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
3+ years experience conducting research as part of a research program (in academic or industry settings).
1+ year(s) experience developing and deploying live production systems, as part of a product team.
1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.

Additional Information:

Job Posted:
March 03, 2026

Employment Type:

Fulltime

Work Type:

On-site work

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