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Data Scientist – Contract
AND Digital. Turn business questions into measurable analytics use cases and models .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and deploying analytical models using Python or R, SQL, and Azure, while effectively communicating insights to non-technical stakeholders. Proficient in Power BI for operationalizing models and driving commercial decision-making across various teams.
Highest-signal resume keywords
Python ProgrammingR ProgrammingSQLPower BIAzure/Fabric
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ScienceSegmentation ModellingChurn ModellingPricing ModellingMarketing Mix ModellingForecasting ModelsMachine LearningData Pipeline ProductionisationCommercial AnalyticsPrice Elasticity Modelling
Soft Skills
CommunicationCollaboration
Tools & Technologies
Power BISalesforce CRM AnalyticsAzureMicrosoft Fabric
Industry Keywords
Commercial Decision-MakingAnalytics Use CasesInsightsOperationalising Models
Tech Stack
Tools & technologiesAzurePythonSQL
About the role
Key responsibilities & impact- Turn business questions into measurable analytics use cases and models
- Build and deploy segmentation, churn, pricing, marketing mix modelling, and forecasting models using Python/R on Azure and Microsoft Fabric
- Productionise data pipelines
- Surface insights in Power BI and Salesforce CRM Analytics
- Partner closely with commercial teams to drive adoption and impact
- Drive commercial decision-making across Sales, Marketing, and Finance for the client
Requirements
What you’ll need- 2+ years’ applied data science experience in commercial analytics
- Price Elasticity Modelling Experience is a bonus
- Strong Python or R, SQL, and Azure/Fabric experience
- Advanced Power BI skills and experience operationalising models
- Ability to communicate insights clearly to non-technical stakeholders
- Machine Learning Experience
- Ideally based in Manchester and comfortable with working central US time zones
Benefits
Comp & perks- Flexible working arrangements, subject to the requirements of the role
- Reasonable adjustments and workplace accommodations where needed