Senior Data Scientist, Anaplan

• 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

• 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