GenAI Data Scientist & ML Architect

Anaplan; Greater London; On-site; GBP 110,000 - 170,000; Full time

Job summary

Anaplan is seeking a versatile Principal Data Scientist to work across the full AI stack, from model integration to user interfaces. You will architect and deploy cutting-edge AI solutions that drive intelligent, forward-looking decisions for global customers, bridging traditional predictive methods with generative systems.

You will lead advanced modeling, GenAI architecture, and production-scale deployments, while mentoring teams and shaping a culture of technical excellence within a dynamic,

Qualifications

• Extensive professional engineering experience across AI/ML or related domains.
• Deep knowledge of Transformer architectures, prompt engineering and conversational AI patterns.
• Experience fine-tuning LLMs (LoRA, QLoRA, RLHF) for enterprise apps.
• Model-to-production lifecycle with MLOps and monitoring.
• Strong Python and modern software development practices (CI/CD).
• Hands-on ML/DL, including Timeseries forecasting.

Responsibilities

• Lead research and design of ML/GenAI models for planning challenges.
• Architect GenAI solutions and fine-tune LLMs for enterprise data tasks.
• Design and integrate Conversational AI and autonomous workflows.
• Collaborate with Engineering, Product, and Design to scale production systems.
• Mentor cross‑functional teams and promote technical excellence.

Skills

Transformer models

Prompt engineering

LLMs

MLOps

Python

Timeseries forecasting

Production deployment

CI/CD

Mentoring

Tools

Cloud platforms (AWS/GCP/Azure)

CI/CD pipelines

Job description

Anaplan is seeking a versatile Principal Data Scientist to work across the full AI stack, from model integration to user interfaces. You will architect and deploy cutting-edge AI solutions that drive intelligent, forward-looking decisions for global customers, bridging traditional predictive methods with generative systems.

You will lead advanced modeling, GenAI architecture, and production-scale deployments, while mentoring teams and shaping a culture of technical excellence within a dynamic,