Senior Data Scientist - AI

Anaplan
London, UK
24 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
£87,821.0
Working hours
Regular working hours

Tech stack

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
+3 more
Machine Learning Operations Virtual Agents Microservices

Job 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.

Requirements

  • 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.

About the company

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.

What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.

Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.

Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins - big and small.

Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.adzuna.co.uk

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

3:39 min

Addressing code review surrender and process exploitation

Laura Tacho Laura Tacho · WWC Europe 2026

1:25 min

Distinguishing artificial intelligence from deep learning

Sam Witteveen · Coffee With Developers

2:37 min

Tracing the evolution from early AI to generative AI

Mike Mike · WWC 2025

2:08 min

Essential engineering roles in the generative AI space

Mary Grygleski Mary Grygleski · LIVE

56 sec

The hidden costs of delayed peer code reviews

Tim Gilboy Tim Gilboy

Videos

See all

Related articles

See all