Data Scientist

Description:

The successful candidate will work across forecasting, pricing, segmentation, customer analytics, automation, and optimisation projects, partnering with senior stakeholders to deliver measurable business impact.

Key Responsibilities:

• Advanced Analytics & Modelling:
• Design and deploy statistical and machine learning models

Build predictive, segmentation, and optimisation models Develop A/B testing frameworks and experimental design Demand Planning & Forecasting: Lead forecasting and allocation system design Improve forecast accuracy and inventory planning Develop safety stock and demand optimisation models Commercial & Strategic Analytics: Deliver pricing, product affinity, and optimisation models Support the commercial strategy with advanced analytics Automation & Data Infrastructure: Automate reporting, analytics pipelines, and data workflows Build scalable, reproducible analytics frameworks Stakeholder Engagement: Translate analytics into business strategy Partner with senior stakeholders across the business
Job Experience and Skills Required:
Education: Degree in Maths, Actuarial Sciences, Statistics, Data Analytics, Computer Science, Finance, or a related field Experience: 3+ years experience in data science, statistical modelling, forecasting, and analytics Demand forecasting and planning systems Time-series analysis and predictive modelling Core Skills: Strong SQL skills (queries, joins, validation, and reconciliations) Data cleansing, transformation, and visualization
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