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Anaplan

Data Scientist

Anaplan · London, United Kingdom

Posted about 2 months ago

or apply directly on Anaplan's site. We never take the application ourselves.

Is this posting real?

This role has been open
61 days
Anaplan's roles stay open a median of 66 days
Reposted
No
Salary listed
No
0% of Anaplan's roles list one
Ghost-job risk at Anaplan
high
114 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
2026-10-08

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

As a Data Scientist at Anaplan, you will design and develop machine learning models and pipelines to provide actionable insights for clients. Your role involves customizing these models for specific customer needs, leading technical deployments, and optimizing data pipelines. You will also collaborate with various teams to ensure the integration of analytic capabilities into Anaplan applications, focusing on advanced modeling and forecasting.

Our read on this posting2.4out of 5
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

  • Strong hands-on professional experience in Data Science, successfully building and deploying systems from prototype to production in a fast-paced environment.
  • Strong predictive modeling foundation: Extensive experience with traditional ML algorithms, Deep Learning frameworks, and complex time-series forecasting.
  • Experience developing production-grade Python code: High proficiency in Python, Pandas, and modern software practices (testing, clean code, code review, CI/CD).
  • Data & Pipeline Expertise: Hands-on experience optimizing data models and access patterns for modern data warehouses (Snowflake, Databricks) utilizing SQL and transformation tools like dbt.
  • Cloud & Data Infrastructure: Experience working with scalable cloud infrastructure (AWS, GCP, or Azure), and handling columnar data formats like Parquet.
  • MLOps Exposure: Experience with tools and frameworks for training, tracking, deploying, and monitoring models in production (e.g., MLflow, Optuna, Prefect, or Airflow).

Nice to have

  • Background in supply chain forecasting, enterprise AI, or retail analytics
  • M.S. or Ph.D. in Computer Science, Artificial Intelligence, Statistics, Data Science, or a related quantitative field.

Worth weighing

  • No salary listed
  • The role involves significant customer interaction and customization, which may require strong interpersonal skills.
  • The focus on advanced modeling and MLOps suggests a modern tech stack, but the specific tools and frameworks may vary based on client needs.

Summarised from Anaplan's posting. Read the full original.

Listed by Anaplan on their greenhouse job board, last confirmed open on 2026-10-08. PitchMeAI is not the employer.

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