Data Science Lead
GKN Aerospace
full-time
Posted on:
Location Type: Office
Location: Trollhattan • 🇸🇪 Sweden
Visit company websiteJob Level
Senior
Tech Stack
DockerKubernetesPython
About the role
- Apply machine learning and statistical methods to engineering, operational, and business challenges
- Conduct exploratory and diagnostic analysis to assess feasibility, identify insights, validate assumptions, and support value-proving work
- Develop, train, validate, and refine predictive models
- Build analytical workflows end-to-end, including ingestion of unstructured data automated pipelines
- Collaborate with Data Engineers and IT to ensure reliable data pipelines, data quality, and scalable processing
Requirements
- Technically strong in machine learning, statistical modelling, and data science practices
- Proficiency in Python or similar tools
- Comfortable working with varied and complex datasets
- Familiar with on-prem environments, containerization, and deployment practices such as Docker, Kubernetes, and CI/CD
- Excellent problem-solving and critical thinking skills
- Strong communication and collaboration skills
- Ability to work independently and manage multiple priorities effectively
- Passion for working with data and driving business insights and value from data analysis
Benefits
- Fantastic challenges
- Amazing opportunities
- Commitment to diversity, inclusion and belonging
- Great training on offer in the industry
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningstatistical modelingdata sciencepredictive modelsdata analysisdata qualitydata pipelinesautomated pipelinesexploratory analysisdiagnostic analysis
Soft skills
problem-solvingcritical thinkingcommunicationcollaborationindependencetime managementprioritizationpassion for data