Senior Data Scientist - AI

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our AI-infused scenario planning and analysis platform, helping customers outpace their competition and the market. Our Winning Culture unites colleagues across teams and geographies around our customers' success, ambitious goals, and celebrating wins big and small. We work with customers including Coca-Cola, LinkedIn, Adobe, LVMH and Bayer among 2,400+ global companies who rely on our platform. We are committed to diversity of thought, leadership at any title, and rewarding growth and achievement.

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!

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 role bridges 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.

• 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 optimize 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.

• Strong hands-on professional experience in Artificial Intelligence, Machine Learning, or a highly quantitative field.
• Strong predictive modeling foundation with deep expertise in traditional ML algorithms and time-series forecasting.
• Hands-on GenAI experience: Practical experience 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.

We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, trust with partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper-this is what drives our innovation and market leadership. We hire you for who you are and invite you to bring your authentic self to work every day. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and employment privileges. Please contact us to request accommodation.

Fraudulent and fictitious job opportunities are circulating on the Internet. Candidates may be contacted by individuals claiming to represent Anaplan. Anaplan does not extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person, nor does it send offers via email. All offers are first extended verbally by a member of our internal recruitment team during the interview process.