Data Science Analyst

Working closely with the Lead Commercial Analyst, you will use data to drive business performance across membership, travel, leisure and financial service products. You'll be responsible for delivering meaningful insights, developing predictive models, supporting forecasting activities and helping shape the organisation's data science capabilities., + Analyse large and complex datasets to identify trends, opportunities and root causes

• Build predictive models to support customer acquisition, retention and lifetime value initiatives
• Support revenue, demand and occupancy forecasting
• Develop commercial models to evaluate business opportunities and promotions
• Champion AI and automation initiatives across commercial and marketing teams
• Create clear, actionable insights for senior stakeholders
• Work with technical teams to improve data quality and reporting processes

• Industry experience across one or more of the following: travel & tourism, hospitality, memberships, subscriptions or insurance - essential
• Proven experience in a Data Science, Data Analytics or Commercial Analytics role
• Advanced SQL and strong data manipulation skills
• Experience using Python or R for predictive modelling and machine learning
• Strong dashboarding and visualisation skills using Tableau, Power BI or similar
• Excellent commercial awareness and analytical thinking
• Ability to communicate complex findings to non-technical audiences
• Degree educated in a numerical discipline such as Data Science, Statistics, Mathematics, Economics or Physics

£60,000 - £70,000 Pro Rata (DOE) | Outskirts of Crawley | Hybrid Working (2 Days Office / 3 Days WFH) | Immediate Start | Potential Permanent Opportunity, + £60,000 - £70,000 pro rata (DOE)

• Hybrid working - 2 days office, 3 days from home
• Newly created role with significant business exposure
• Opportunity to influence commercial strategy and AI adoption
• Potential for the role to become permanent
• Immediate start available (ideally start within a months' notice)

If you're a commercially minded data professional looking to combine analytics, predictive modelling and business insight in a high-impact role, we'd love to hear from you.