Role: Data Scientist Supply Chain (Procurement & Product Costing)
About the Role
We are seeking a Data Scientist to join our Supply Chain Data Team, working closely with Procurement. The initial focus of this role is to develop pragmatic, decision-enabling analytics and data science tools that support key procurement activities, including:
- Product cost roadmaps (for both new product introductions and established products)
- Product cost controls
- Product cost reduction initiatives
The role requires a practical mindset: working with multiple data sources of varying completeness and quality, balancing analytical rigour with business reality to deliver insights that are useful, timely, and trusted. Over time, the role will expand into broader procurement analytics use cases.
Key Responsibilities
- Design and build analytical and predictive tools that enable product cost roadmaps, helping procurement teams understand how product costs are expected to evolve over time and why
- Develop models and monitoring tools to support product cost controls, including identifying variances, emerging risks, and cost pressures
- Create data-driven analyses to identify and quantify opportunities for product cost reduction
- Analyse and explain the drivers of cost changes, going beyond transactional data to account for upstream supply chain impacts, supplier and market dynamics, external data enrichment, and macro-economic or geopolitical influences.
- Work with data from multiple internal and external sources, often with incomplete, inconsistent, or imperfect data, applying pragmatic assumptions and transparent methods
- Perform scenario and sensitivity analysis to support negotiations, sourcing strategies, and planning decisions
- Clearly document and communicate model assumptions, data limitations, and confidence levels so stakeholders understand both insight and uncertainty
- Apply data science techniques to additional procurement use cases as needs evolve
- Partner closely with procurement stakeholders to ensure analytics are aligned to real decision-making processes
- Contribute to reusable models, data assets, and practical analytics standards within the Supply Chain Data Team
Essential Skills & Experience
- Strong data science capability, including statistical analysis and predictive modelling
- Proven experience building costing, financial, or commercial models, ideally in procurement or supply chain contexts
- Advanced proficiency in data preparation, analysis and modelling, including model explainability methods
- Advanced proficiency in Python, SQL. Familiarity with Snowflake.
- Demonstrated ability to work pragmatically with messy, incomplete, or low-quality data, making sound judgement calls rather than waiting for perfect datasets
- Experience integrating and reconciling data from many sources with differing definitions and levels of maturity
- Ability to clearly explain analytical outputs, assumptions, and limitations to business stakeholders
- Strong commercial awareness and a business-focused approach to analytics
Desirable / Nice to Have
- Experience using Dataiku
- Understanding of procurement contracts, pricing mechanisms, and cost structures
- Experience working closely with procurement or finance teams
Skills:
Strong data science capability - predictive models Built Costing / Financial models (in Supply Chain) Python, SQL and Snowflake
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