Lead Data Scientist - Customer Intelligence & Value Measurement We are looking for a Lead Data Scientist to drive customer intelligence, incrementality measurement, and value analytics across multiple markets. This role will lead the development of customer segmentation, customer lifetime value (CLV) models, incrementality methodologies, and value measurement frameworks, providing leadership with robust, defensible insights into customer and commercial performance. Key Responsibilities Lead customer analytics initiatives, including CLV, RFM segmentation, incrementality measurement, and scenario planning. Reconcile customer, transaction, and margin data to create accurate and trusted value estimates. Develop and maintain analytical frameworks that explain performance drivers and identify discrepancies between data sources. Partner with Finance and business stakeholders to validate methodologies and ensure value estimates are reproducible and operationalised. Build scalable analytical solutions and pipelines using Databricks, Spark, and Python. Establish strong data validation, audit, and reconciliation practices to support decision-making.Required Skills Advanced SQL for large-scale customer, loyalty, payment, and transaction analysis. Strong Python skills for statistical modelling, cohort analysis, weighting, matching, and reproducible analytics. Hands-on experience with Databricks, Spark/PySpark, Delta tables, and automated data workflows. Proficiency with Git, Azure DevOps, and controlled production release processes. Strong data quality, reconciliation, and audit-trail practices.Desirable Skills Experience in loyalty programmes, CRM analytics, or retail fuel and convenience sectors. Power BI or enterprise reporting platform expertise. Production-grade data pipeline design, including incremental processing and Delta MERGE patterns. Experimentation, uplift modelling, or incrementality validation experience. Exposure to customer decisioning platforms or business needs analysis (BNA). With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the Oil & Gas, Power & Renewables, Chemicals, Construction & Infrastructure, Life Sciences, Mining and Manufacturing sectors worldwide. With more than 80 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients
Data Scientist in London employer: NES Group Ltd
At NES Fircroft, we pride ourselves on being an exceptional employer that fosters a dynamic and inclusive work culture. Our commitment to employee growth is evident through structured training and mentorship programmes, alongside flexible working arrangements that promote a healthy work-life balance. With exciting travel opportunities and a global network of over 45 offices, we empower our team to thrive in their careers while making meaningful connections in the recruitment industry.
