At a Glance
- Tasks: Lead the development of AI models and deploy them into production systems.
- Company: Join a pioneering AI team in a vibrant London tech hub.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities and career advancement.
- Why this job: Make a real impact by bridging traditional AI with next-gen technologies.
- Qualifications: Experience in AI, ML, and strong Python skills required.
The predicted salary is between 70000 - 90000 £ per year.
About The Role
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 Engineers 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.
Your Skills
- 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.
Senior Data Scientist - AI in London employer: Anaplan Inc
Anaplan Inc is an exceptional employer, offering a dynamic work culture that prioritises employee growth and development. As a Customer Success Director in the UKI, you will benefit from a collaborative environment that encourages innovation and provides opportunities for meaningful impact on customer experiences. With a focus on driving adoption and growth, Anaplan supports its employees with comprehensive training and travel opportunities to connect with clients across the region.
