13 дней назад
Contract Data Scientist (Commercial Analytics)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Contract Data Scientist (Python/R, Azure, Microsoft Fabric): Building and deploying commercial analytics models for Sales, Marketing, and Finance with an accent on segmentation, churn, pricing, marketing mix modelling, and forecasting. Focus on productionising data pipelines, operationalising machine learning models, and communicating insights through Power BI and Salesforce CRM Analytics.
Location: Manchester, England, United Kingdom; Workplace: Hybrid. Ideally based in Manchester and comfortable working central US time zones.
Company
is a technology company that helps organisations accelerate digital delivery, build digital products, and strengthen digital teams.
What you will do
- Translate commercial questions into measurable analytics use cases and data science models.
- Build and deploy segmentation, churn, pricing, marketing mix modelling, and forecasting models.
- Use Python or R with Azure and Microsoft Fabric to develop analytical solutions.
- Productionise data pipelines and operationalise models for business use.
- Present insights through Power BI and Salesforce CRM Analytics.
- Partner with Sales, Marketing, Finance, and other commercial stakeholders to drive adoption and impact.
Requirements
- At least 2 years of applied data science experience in commercial analytics.
- Strong Python or R, SQL, and Azure/Microsoft Fabric experience.
- Advanced Power BI skills and experience operationalising models.
- Experience with machine learning.
- Ability to communicate analytical insights clearly to non-technical stakeholders.
- Availability for hybrid work in Manchester and comfort working central US time zones.
Nice to have
- Experience with price elasticity modelling.
Culture & Benefits
- Flexible working arrangements are considered subject to role requirements.
- Equal opportunity employer with support for reasonable workplace adjustments.
- Work with teams serving clients through regional offices across the UK, Europe, and the USA.
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