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# Senior Data Scientist - AI

- **Company:** Anaplan
- **Location:** London, UK
- **Experience:** Expert
- **Salary:** £87,821.0
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Artificial Intelligence, Code Review, Continuous Integration, Python (Programming Language), Machine Learning, Open Source Technology, Test-Driven Development (TDD), Large Language Models, Prompt Engineering, Deep Learning, Generative AI, Machine Learning Operations, Virtual Agents, Microservices
- **Published:** July 18, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5806149351

## About the Role

* Strong hands-on professional experience in Artificial Intelligence, Machine Learning, or a highly quantitative field.
 * Strong predictive modeling foundation: Deep expertise in traditional ML algorithms and time-series forecasting.
 * Hands-on GenAI experience: Practical experience working with LLM APIs, prompt engineering, and fine-tuning open-source models.
 * Production-grade Python: High proficiency in Python and modern software practices (TDD, clean code, code review, CI/CD).
 * MLOps Exposure: Experience with tools and frameworks for training, deploying, and monitoring models in production.

## Description

We are seeking a Senior Data Scientist to join our greenfield AI team in London. In this role, you won't just build models in isolation; you will own the entire lifecycle-from training and fine-tuning models to deploying them into production-grade systems that power our global enterprise planning platform.

This is a unique opportunity to bridge the gap between traditional predictive mathematics (such as high-scale time-series forecasting) and next-generation Generative/Agentic AI. You will work across the full stack of our AI applications to build features that businesses rely on in real-time.
Your Impact

 * Advanced Modeling: Design, train, and implement advanced Machine Learning (ML) and Deep Learning (DL) models to solve complex business planning and forecasting problems.
 * Predictive & Timeseries Forecasting: Develop robust, scalable time-series models to enhance our platform's predictive planning and scenario-modeling capabilities.
 * GenAI & LLM Integration: Implement and optimise Generative AI features, focusing on fine-tuning open-source LLMs (using LoRA, QLoRA, etc.) and building RAG pipelines.
 * End-to-End Deployment (MLOps): Partner with our AI Engineer's to transition your models from prototype into scalable, monitored, and reliable production microservices.
 * Technical Mentorship: Actively contribute to code reviews, share technical best practices, and help mentor other data scientists and engineers on the team.


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