Git), experiment tracking (e.g. MLflow), and containerisation (e.g. Docker). Familiarity with CI/CD tools (e.g. GitHub Actions), model/data versioning (e.g. DVC), and orchestration frameworks (e.g. Airflow, Dagster). Skilled in testing (unit, integration, end-to-end), and visualising outcomes with tools like seaborn. Ability to translate complex business problems into data science solutions and effectively More ❯
Coventry, Warwickshire, United Kingdom Hybrid / WFH Options
Jaguar & Land Rove
data extraction, transformation, analysis, and process automation Hands-on experience with Google Cloud Platform (GCP) or Amazon Web Services (AWS) Proficient in Data Engineering and Orchestration tools such as ApacheAirflow, Glue or Dataform Skilled in creating impactful data visualisations using Tableau, Power BI or Python Background in engineering sectors such as automotive, aerospace, or transport BENEFITS This More ❯
unsupervised learning, and operations research methods. Solid background in software engineering for data science products: version control (Git), testing (unit, regression, E2E), CI/CD (GitHub Actions), and orchestration (Airflow, Dagster). Proficient in SQL and cloud platforms (AWS preferred), with exposure to model/data versioning tools (e.g. DVC), containerised solutions (Docker, ECS), and experiment tracking (e.g. MLflow More ❯
