Lead Data Scientist: Customer Intelligence and Value

NES Fircroft; Greater London; On-site; GBP 90,000 - 140,000; Full time

Job summary

NES Fircroft invites a Lead Data Scientist to drive customer intelligence, value measurement, and incrementality across markets. You will lead segmentation, CLV modeling, and analytical frameworks, partnering with Finance to ensure reproducible value estimates and scalable pipelines.

Key tech includes SQL, Python, Databricks and Spark, with governance and audit-trail practices at the core. Senior leadership exposure and cross-functional impact are expected.

Qualifications

• Proven ability to develop CLV models and incrementality approaches.
• Proficient in SQL and Python for large-scale analytics.
• Experience with data pipelines and production-ready workflows.

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.

Skills

SQL

Python

Databricks

Spark

Delta tables

Git

Azure DevOps

Data quality

Tools

Databricks

Spark

Git

Azure DevOps

Power BI

Job description

NES Fircroft invites a Lead Data Scientist to drive customer intelligence, value measurement, and incrementality across markets. You will lead segmentation, CLV modeling, and analytical frameworks, partnering with Finance to ensure reproducible value estimates and scalable pipelines.

Key tech includes SQL, Python, Databricks and Spark, with governance and audit-trail practices at the core. Senior leadership exposure and cross-functional impact are expected.