Customer Loyalty/Transaction Lead Data Scientist

Project overview

Customer Loyalty/Transaction Lead Data Scientist - 12 Months Contract - Remote

Inside IR35 via umbrella

Lead Data Scientist - Customer Intelligence, Incrementality & Value Measurement Primary focus: SCI/customer analytics, incrementality, CLV/RFM, customer and margin reconciliation, dampening methodology, scenario planning and multi-market value measurement. The role owns the analytical bridge between SCI customer and transaction data, CLV/RFM segmentation, incrementality methodology, Finance margin assumptions and leadership-facing value estimates.

It must be able to determine not only the result, but why sources differ, whether the estimate is methodologically defensible, and how it can be reproduced and operationalised.

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.

Requirements

Advanced SQL for high-volume customer, payment, loyalty and transaction analysis. Strong Python for statistical analysis, matching, weighting, cohort analysis and reproducible data products. Hands-on Databricks/Spark or PySpark experience for notebooks, Delta tables, workflows and scheduled analytical pipelines. Working proficiency with Git/Azure DevOps, pull requests and controlled production changes. Strong data-validation, reconciliation and audit-trail practices.

Nice to have

Loyalty economics, retail fuel/convenience or CRM-domain experience. Power BI or certified reporting-layer experience. Production pipeline design beyond analytical notebooks, including Delta MERGE, idempotency and incremental processing. Experimentation or uplift-model validation experience. BNA or customer-decisioning exposure.

MUST HAVE high-volume customer, payment, loyalty and transaction analysis

Project details

Must be eligible to work in the UK

Start ASAP

40 hrs week

• Start: 2026-11-16
• Location: Remote work, UK, GB