DATA SCIENTIST - CUSTOMER ANALYTICS

London (Hybrid, 2 days per week) | Up to £65,000

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.

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.

The Role

• 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

Your Skills & Experience

• 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

What They Offer

• 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

How to Apply

Apply today to learn more about this Data Scientist opportunity.