Senior Data Scientist, Anaplan

Salary not provided

SQL

AWS

GCP

Python

Kafka

Spark

RabbitMQ

Pandas

Scikit-Learn

Prometheus

Grafana

Git

REST API

Senior and Expert level

Manchester

Cloud-based modeling and planning for sales, operations, and finance

Open for applications

Cloud-based modeling and planning for sales, operations, and finance

1001+ employees

B2BEnterpriseInternal toolsProductivityAnalyticsBusiness IntelligenceData Analysis

Open for applications

Salary not provided

SQL

AWS

GCP

Python

Kafka

Spark

RabbitMQ

Pandas

Scikit-Learn

Prometheus

Grafana

Git

REST API

Senior and Expert level

Manchester

1001+ employees

B2BEnterpriseInternal toolsProductivityAnalyticsBusiness IntelligenceData Analysis

Company mission

Anaplan's mission is to make all planning for all people a reality. They believe our world is better when we connect communities of people with data to enhance decision-making in dynamic environments.

Job

Company

Role

Who you are

Degree in Computer Science, Mathematics, Statistics, Physics, or a related quantitative field
Proficiency in Python for data science and machine learning (e.g., pandas, scikit-learn, PySpark)
Strong grasp of SQL, data wrangling, and statistical modelling techniques
Experience building and deploying models on platforms such as Databricks
Familiarity with Apache Spark and distributed computing
Understanding of REST APIs, microservice architecture, and model deployment practices
Comfort working with CI/CD pipelines, version control (Git/GitHub), and unit testing for data pipelines
You are driven by curiosity and grounded in strong analytical thinking. You’re equally comfortable exploring data on your own or collaborating with engineering teams to productionise your models. You’re excited about cloud-scale data platforms and believe in making data work for the business, not the other way around

Desirable

Experience with Apache Pulsar or other message queues (Kafka, RabbitMQ, etc)
Familiarity with MLOps workflows and tools
Understanding of cloud infrastructure, particularly AWS or GCP
Exposure to monitoring tools (Grafana, Prometheus) and model performance tracking (MLflow)
Experience applying your skills in a SaaS or enterprise software context

What the job involves

Anaplan is looking for a curious, pragmatic, and technically strong Data Scientist to join our growing team in Manchester. This is your chance to shape and deliver next-generation data science capabilities within a highly visible, large-scale SaaS cloud company
Build and deploy scalable data science solutions using Databricks, Apache Spark, and the broader Apache ecosystem
Apply statistical analysis and machine learning to generate actionable insights from complex datasets
Design and run experiments (e.g., A/B testing) to support evidence-based decision making
Collaborate with Data Engineers to develop clean, validated data pipelines for analytics and modelling
Work with Product Owners, Designers, and Engineers to embed intelligent decision-making into our platform
Use Apache Pulsar to stream real-time data and enable low-latency decision systems
Clearly communicate results, assumptions, and model limitations to technical and non-technical audiences
Maintain a strong focus on reproducibility, testing, documentation, and continuous improvement

Our take

Anaplan provides cloud-based planning software across various use cases. The Anaplan platform replaces the patchwork of outdated tools (from the likes of Oracle, SAP and IBM) that don’t interact well with each other, and does away with the manual planning processes that are often overly complex, inefficient and costly.

The Anaplan platform can handle high volumes of data processed in real-time. The company’s modeling engine - based on proprietary Hyperblock technology - enables thousands of concurrent users to all access a centralized data pool. The technology lets users create detailed planning models that incorporate data down to the transaction level (across stores, employees and product SKUs) to improve decision making. While legacy planning solutions tend to be focused solely on the finance department, Anaplan’s platform enables collaborative planning across all areas. The company generates about 40% of its business from outside of core finance use cases.

There are multiple ways for the Anaplan platform to be used throughout any organisation - ranging from budgeting and forecasting to modelling and pricing optimisation. Planning tools can be put to work to gauge sales performance, handle departmental budgets, manage marketing spending, improve inventory management, and deal with IT project budgeting.

Anaplan has over 175 partners and more than 1,700 customers worldwide, and was acquired by Thomas Bravo in 2022, reconfirming its position as a leader in connected planning. Despite its solid position, the company was not immune to layoffs in 2023 due to the economic slowdown.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

-2% employee growth in 12 months

Glassdoor (2.9)

Company

Funding (last 2 of 6 rounds)

Dec 2017

$60m

SERIES F

Jan 2016

$90m

SERIES E

Total funding: $299.9m

Company benefits

Flexible working
Work from home opportunities
Health insurance

Company HQ

Yerba Buena, San Francisco, CA

Leadership

Charlie Gottdiener

(CEO (Not Founder))

Currently Board Member at TransUnion, Neustar Security Services, and smartShift.

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