or apply directly on Anaplan's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 55 days Anaplan's roles stay open a median of 55 days
- Reposted
- No
- Salary listed
- No 0% of Anaplan's roles list one
- Ghost-job risk at Anaplan
- high 95 stale, 12 reposted of 142 open
- Hiring momentum
- 254 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-27
Measured from postings appearing on and disappearing from Anaplan's own greenhouse board since 2026-08-03. Full hiring picture for Anaplan.
About this role
The Principal Data Scientist at Anaplan will work on a variety of AI applications, focusing on advanced modeling, generative AI architecture, and designing user interfaces. This role involves leading the development of machine learning models, integrating AI solutions into the platform, and collaborating with cross-functional teams to ensure scalable production systems. The position also includes mentoring other team members and driving technical excellence within the organization.
- benefits
- 1/5
- freshness
- 1/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Anaplan as an employer.
What you need
- 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.
Nice to have
- 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.
Worth weighing
- No salary listed.
- Focus on advanced AI and machine learning technologies, which may require continuous learning and adaptation.
- The role involves significant collaboration with other teams, which may impact individual work style preferences.
Summarised from Anaplan's posting. Read the full original.
Listed by Anaplan on their greenhouse job board, last confirmed open on 2026-09-27. PitchMeAI is not the employer.
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