Remote Data Scientist: Production ML & Customer Insights

Airswift; United Kingdom; Remote; GBP 60,000 - 90,000; Full time

Job summary

Airswift is seeking a Data Scientist for a 12-month remote role in the United Kingdom. You will contribute to advanced customer analytics and decision science, focusing on Databricks, Python, SQL, and production ML.

You will design and operationalise analytical solutions to drive measurable commercial insights and informed decisions. The role emphasizes experimentation, uplift modelling, and value measurement with datasets spanning customer, campaign, transactions, loyalty, and margins.

Qualifications

• Hands-on experience in decision science, customer intelligence, incrementality, value measurement.
• Experience with high-volume customer, campaign, transaction, payment, loyalty, and margin datasets
• Proven experience developing and operationalising production data science and machine learning solutions
• Experience with experimentation, causal analysis, uplift modelling, reconciliation, and analytical audit trails
• Experience building scheduled analytical pipelines and supporting controlled production changes

Responsibilities

• Design, develop, and operationalise analytical solutions that drive measurable commercial insight and decision-making

Skills

Decision science

Customer intelligence

Incrementality

Value measurement

High-volume data

Production ML

Experimentation

Data validation

Reproducibility

Tools

Databricks

Python

SQL

Spark/PySpark

Git

Azure DevOps

MLflow

Model registry

Delta tables

Unity Catalog

Job description

Airswift is seeking a Data Scientist for a 12-month remote role in the United Kingdom. You will contribute to advanced customer analytics and decision science, focusing on Databricks, Python, SQL, and production ML.

You will design and operationalise analytical solutions to drive measurable commercial insights and informed decisions. The role emphasizes experimentation, uplift modelling, and value measurement with datasets spanning customer, campaign, transactions, loyalty, and margins.