Principal AI Scientist for Enterprise GenAI & Planning

Anaplan; Greater London; Hybrid; GBP 110.000 - 170.000; Vollzeit

Zusammenfassung

Anaplan is seeking a Principal Data Scientist to drive AI across its AI applications, building predictive and generative models that empower enterprise planning and decision-making. You will architect GenAI solutions, integrate autonomous AI workflows, and lead model deployment at scale for global customers.

You will bridge traditional analytics with modern generative systems, mentor teams, and champion testing and MLOps practices.

Qualifikationen

• Extensive professional engineering experience across AI/ML domains.
• Deep technical understanding of Transformer architectures, prompt engineering, and conversational AI patterns.
• Experience fine-tuning LLMs (LoRA, QLoRA, RLHF) for enterprise applications.
• MLOps practices to ensure scalable, reliable deployments.
• Strong Python and software development practices including CI/CD.

Aufgaben

• Lead research, design, and implementation of advanced ML/DL and timeseries forecasting models.
• Architect GenAI solutions with fine-tuning of LLMs for enterprise data tasks.
• Design and integrate conversational AI and autonomous AI workflows.
• Collaborate with Engineering, Product, and Design to productionize models.
• Mentor cross-functional teams and promote technical excellence.

Kenntnisse

Advanced ML

Transformer architectures

Prompt engineering

LLMs fine-tuning

MLOps

Python

Timeseries forecasting

Cloud infrastructure

Research leadership

Ausbildung

CS degree

PhD preferred

Tools

LoRA

QLoRA

RLHF

Open-source LLMs

Jobbeschreibung

Anaplan is seeking a Principal Data Scientist to drive AI across its AI applications, building predictive and generative models that empower enterprise planning and decision-making. You will architect GenAI solutions, integrate autonomous AI workflows, and lead model deployment at scale for global customers.

You will bridge traditional analytics with modern generative systems, mentor teams, and champion testing and MLOps practices.