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Confirmed on the employer's own hiring board on Nov 3, 2026. First seen by Alion on Oct 30, 2026. Airswift scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Airswift is an international workforce solutions company headquartered in Houston, Texas, providing recruitment, contractor management, employer of record, recruitment process outsourcing and managed services to the energy, engineering, infrastructure and technology sectors. It traces its roots to 1979 in the United Kingdom and took its current name after the 2016 merger of Air Energi and Swift Worldwide Resources, and today runs about 60 offices serving clients in oil and gas, power, mining, renewables and data centers. Its job board lists contract and permanent roles at client projects, such as engineers, commissioning supervisors, planners, document controllers and HSE advisors.

Job reference

1282688

Location

WFH , United Kingdom

Sector

IT

Function

IT & Telecoms

Employment type

Contract

Date published

October 30, 2026

Job Title: Data Scientist

Duration: 12 months

Schedule: 40 hrs/week

Location: United Kingdom (Remote)

This opportunity offers the chance to contribute to advanced customer analytics and decision science work within a remote environment. The role focuses on Databricks, Python, SQL, production machine learning, experimentation, optimisation, customer intelligence, incrementality, and value measurement. This position will support the design, development, and operationalisation of analytical solutions that drive measurable commercial insight and decision-making.

Required Experience:

  • Hands-on experience in decision science, customer intelligence, incrementality, value measurement, or related analytical disciplines
  • Experience working 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

Required Skills:

  • Advanced Python for production data science, machine learning, statistical analysis, matching, weighting, cohort analysis, feature processing, model training, and inference
  • Advanced SQL for campaign, customer, transaction, and measurement data analysis
  • Strong Databricks experience including notebooks, modules, jobs, workflows, Delta tables, Unity Catalog data, model registry, and production scoring
  • Hands-on Spark or PySpark capability for analytical pipelines and large-scale data processing
  • Git and Azure DevOps including branching, pull requests, code review, testing, and controlled deployments
  • Strong production ML practices including reusable code, configuration, versioning, monitoring, logging, validation, and operational handover
  • Strong data validation, reconciliation, and reproducibility practices

Preferred Qualifications:

  • Databricks Apps, Streamlit, Dash, or React for analytical decision-support interfaces
  • MLflow, model registry, and Databricks Asset Bundle experience
  • Familiarity with CRM activation platforms and campaign data such as SFMC or Comarch
  • Experience in marketing mix, recommender systems, or operations research
  • Loyalty economics, retail fuel, convenience, or CRM domain experience
  • Power BI or certified reporting-layer experience
  • Experience with Delta MERGE, idempotency, and incremental processing
  • Exposure to BNA or customer decisioning environments

About Airswift:

Airswift is an international workforce solutions provider within the energy, process and infrastructure industries. Airswift serves as a strategic partner to clients, offering a turnkey workforce solution to capture and deliver the top talent needed to complete successful projects by aligning with unique project needs. With over 1000 employees and 9,000 contractors operating in over 60 countries, Airswift's geographical reach and pool of talent available is unmatched in the industry.

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