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.
