Data Scientist - Customer Analytics
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Role details
Tech stack
Job description
- Develop predictive models to solve customer and commercial challenges
- Deliver projects across forecasting, customer segmentation, propensity modelling, and pricing analytics
- Build solutions using Python, SQL, Azure, and Databricks
- Present model outputs and insights to technical and non-technical stakeholders
- Work closely with clients and internal teams throughout the project lifecycle
Requirements
Looking to broaden your data science experience across multiple industries? This is an opportunity to join a specialist analytics consultancy delivering end-to-end modelling projects for well-known organisations across sectors. You’ll combine hands-on data science with stakeholder engagement, working on projects that have real commercial impact., * Strong commercial experience in data science and model development
- Advanced Python and SQL skills
- Experience building predictive, forecasting, segmentation, scorecard, or pricing models
- Experience working with stakeholders and communicating analytical findings
- Exposure to Azure and/or Databricks
- Consultancy experience is beneficial but not essential
- Strong academic background in a quantitative discipline
Benefits & conditions
- Salary up to £65,000 depending on experience
- Hybrid working with 2 days per week in the London office
- Broad exposure to projects across multiple industries
- Strong technical environment focused on data science and modelling
- Clear opportunities for professional development and progression
About the company
They are a growing data and analytics consultancy with a strong focus on predictive modelling and customer analytics. With a collaborative team of experienced data professionals, they deliver advanced solutions using modern cloud and data platforms. Their project-based environment offers excellent exposure to a wide range of business challenges and industries.
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