Principal AI Data Scientist

About the Role

We're seeking a versatile Principal Data scientist who can work across the full stack of Anaplan AI applications, from model integration and prompt engineering to building intuitive user interfaces. In this role, you will have a direct impact on our industry‑leading platform by architecting and deploying cutting‑edge AI solutions that drive intelligent, automated, and forward‑looking decision‑making for our global customers. You will bridge the gap between traditional predictive algorithms and modern generative systems.

Your Impact

• Advanced Modeling & Predictive Analytics: Lead the research, design, and implementation of advanced Machine Learning, Deep Learning, and Timeseries Forecasting models to solve complex enterprise business and planning challenges.
• Generative AI Architecture: Architect GenAI solutions, focusing on fine‑tuning proprietary and open‑source Large Language Models (LLMs) via Transformer architectures for specialised enterprise data tasks.
• Next‑Gen Interfaces: Design and integrate Conversational AI and autonomous Agentic AI workflows, creating intuitive experiences that can independently execute complex planning tasks.
• Production & Scale: Collaborate with Engineering, Product, and Design teams to transition AI models from early prototypes into robust, highly scalable production systems.
• Technical Leadership: Serve as a core subject‑matter expert, mentoring cross‑functional teams and driving a culture of technical excellence, rigorous testing, and continuous learning.

Your Skills

• Extensive professional engineering experience across Artificial Intelligence, Machine Learning, or related domains.
• Deep technical understanding of Transformer architectures, prompt engineering, and conversational AI patterns, alongside practical experience with autonomous agent frameworks.
• Experience fine‑tuning LLMs (e.g., LoRA, QLoRA, RLHF) specifically for domain‑specific enterprise applications.
• Taken responsibility of models from concept to production, utilising strong MLOps and LLMOps practices to ensure scalable, reliable, and monitorable deployments.
• High proficiency in Python and modern software development practices, including rigorous testing, code reviews, and CI/CD pipelines.
• Strong hands‑on experience in traditional Machine Learning and deep learning techniques, specifically including Timeseries Forecasting algorithms.
• Background in Computer Science, Artificial Intelligence, Statistics, Data Science, or a related quantitative field.
• Experience working with scalable cloud infrastructure (AWS, GCP, or Azure) and MLOps tools for model training, monitoring, and deployment.
• Background in forecasting, planning, or analytics applications.
• Familiarity with Anaplan or similar enterprise planning platforms.
• Experience with A/B testing and experimentation frameworks for AI features.
• Contributions to open‑source ML projects or research publications.

Our Commitment to Diversity, Equity, Inclusion, and Belonging (DEIB)

We believe at Anaplan that diversity, equity, inclusion and belonging are central to our success. All applicants are considered equally; we welcome individuals of all genders, sexual orientations, religions, ethnicities, ages, neurodiversity, disabilities, citizenship, and other identities.

We will provide reasonable accommodation to individuals with disabilities to participate in the application process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.

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