—
Do you want to build predictive models that directly shape commercial strategy? Have you delivered machine learning solutions that moved real business metrics? Are you ready to be the first dedicated Data Scientist in a growing analytics function? A London-based strategic sourcing and supply chain business, backed by two global Fortune 10 corporations, is building out its advanced analytics capability. Operating in a complex, highly regulated environment, the organisation plays a critical role in optimising pricing, supplier strategy and risk management at scale. They are now investing in predictive modelling to drive smarter commercial decisions across sourcing and operations. This Senior Data Scientist role offers genuine ownership. You will lead the development of predictive models that inform pricing, risk and supply chain strategy, while helping shape how data science is embedded across the business. Key Responsibilities • Build and deploy predictive ML models for pricing, risk and demand forecasting • Lead time series and regression modelling to anticipate market shifts • Design and implement experimentation frameworks (A/B testing, causal inference) • Productionise models within cloud environments alongside engineering teams • Translate complex analysis into clear commercial recommendations • Help shape early-stage data science workflows and best practices Key Details • Salary: £80,000 to £85,000 base • Working model: Hybrid, minimum 1 day per week in London (likely moving to 2–3) • Tech stack: Python, SQL, Azure ML, cloud-based data platforms • Visa sponsorship: Not confirmed Interested? Please apply below.
| Skill | Source | Confidence |
|---|---|---|
| SQL | llm_hard |
100%
|
| Azure ML | llm_hard |
100%
|
| Python | llm_hard |
100%
|
| Model Deployment | llm_hard |
80%
|
| MLOps | llm_hard |
80%
|
| Time Series Analysis | llm_hard |
80%
|
| Forecasting | llm_hard |
80%
|
| Experimental Design | llm_hard |
80%
|
| Supervised Learning | llm_hard |
80%
|
| Regression Algorithms | llm_hard |
80%
|
| Skill | Source | Confidence |
|---|---|---|
| Leadership | llm_soft |
100%
|
| Query | Country | Status | Response ms | Created |
|---|---|---|---|---|
| Senior Data Scientist - Healthcare Supply Chain | extracted | 3906 | 2026-03-28 10:47 | |
| Senior Data Scientist - Healthcare Supply Chain | classified | 433 | 2026-03-28 10:13 | |
| data engineer in London, UK | gb | duplicate | 8767 | 2026-03-28 10:09 |
| data scientist in London, UK | gb | processed | 11050 | 2026-03-28 10:07 |
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"job_description": "Do you want to build predictive models that directly shape commercial strategy?\n\nHave you delivered machine learning solutions that moved real business metrics?\n\nAre you ready to be the first dedicated Data Scientist in a growing analytics function?\n\nA London-based strategic sourcing and supply chain business, backed by two global Fortune 10 corporations, is building out its advanced analytics capability. Operating in a complex, highly regulated environment, the organisation plays a critical role in optimising pricing, supplier strategy and risk management at scale. They are now investing in predictive modelling to drive smarter commercial decisions across sourcing and operations.\n\nThis Senior Data Scientist role offers genuine ownership. You will lead the development of predictive models that inform pricing, risk and supply chain strategy, while helping shape how data science is embedded across the business.\n\nKey Responsibilities\n\n• Build and deploy predictive ML models for pricing, risk and demand forecasting\n\n• Lead time series and regression modelling to anticipate market shifts\n\n• Design and implement experimentation frameworks (A/B testing, causal inference)\n\n• Productionise models within cloud environments alongside engineering teams\n\n• Translate complex analysis into clear commercial recommendations\n\n• Help shape early-stage data science workflows and best practices\n\nKey Details\n\n• Salary: £80,000 to £85,000 base\n\n• Working model: Hybrid, minimum 1 day per week in London (likely moving to 2–3)\n\n• Tech stack: Python, SQL, Azure ML, cloud-based data platforms\n\n• Visa sponsorship: Not confirmed\n\nInterested? Please apply below.",
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