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!
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 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.
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.
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our 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, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want 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 all privileges of employment. Please contact us to request accommodation.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
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.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to [email protected] before taking any further action in relation to the correspondence.
Skills Required
- Hands-on professional experience in Artificial Intelligence, Machine Learning, or a highly quantitative field.
- Deep expertise in traditional ML algorithms and time-series forecasting.
- Practical experience with LLM APIs, prompt engineering, and fine-tuning open-source models (LoRA, QLoRA).
- High proficiency in production-grade Python and modern software practices (TDD, clean code, code review, CI/CD).
- Experience with MLOps tools and frameworks for training, deploying, and monitoring models in production.
Anaplan Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Anaplan and has not been reviewed or approved by Anaplan.
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Strong & Reliable Incentives — Earnings potential in sales is considered good or fair, with on‑target earnings achievable when plans are met. This indicates variable pay can meaningfully boost total compensation when targets are hit.
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Healthcare Strength — Medical, dental, and vision coverage are described as strong, complemented by mental‑health resources and EAP support. Company‑wide paid wellbeing days reinforce the health and wellness focus.
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Parental & Family Support — Equitable parental and caregiver leave are highlighted alongside fertility and adoption support. Family‑forming programs such as Carrot are part of the offering.
Anaplan Insights
What We Do
Anaplan is building a future where connected leaders and teams are able to constantly adapt, transform and reinvent their businesses. We make it possible to share actionable insights, empower and unleash creativity, and drive innovation. With Anaplan, finance and operational leaders across the organization can model complex scenarios, forecast continuously with added intelligence, and make agile decisions with confidence.
