Senior Technical Engineer – Data Science & Machine Learning
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About the Role
We are looking for a Senior Technical Engineer with strong applied data science and ML experience to support a revenue management systems programme. The role spans predictive modelling, statistical analysis and productionising ML workflows on AWS, with direct exposure to enterprise-grade Gen AI tooling.
Key Skills for This Role
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Overview
We are looking for a Senior Technical Engineer with strong applied data science and ML experience to support a revenue management systems programme.
The role spans predictive modelling, statistical analysis and productionising ML workflows on AWS, with direct exposure to enterprise-grade Gen AI tooling.
Key Responsibilities
- Shape and execute the data science roadmap for revenue management, aligning analytics initiatives to commercial outcomes.
- Partner with business stakeholders to frame problem statements, define success metrics and identify actionable opportunities.
- Analyse large datasets to surface trends, patterns and correlations that drive strategic decision-making.
- Build, train and evaluate predictive models and ML pipelines, including feature engineering and model performance assessment.
- Optimise data science workflows for accuracy and operational efficiency, automating retraining and monitoring routines.
- Continuously monitor deployed models, run quality assessments and refresh or retune models as performance evolves.
Required Skills & Experience
- 5+ years of enterprise-grade data science delivery, with proven experience taking ML solutions to production.
- Strong hands-on expertise in Python, R, TensorFlow, PyTorch and SQL.
- Working experience with AWS, including SageMaker and Bedrock, and modern Gen AI frameworks and models.
- Solid grounding in traditional Machine Learning techniques, predictive analytics and classification / probability algorithms.
- Strong applied statistics, data visualisation and analytical problem-solving skills.
- Excellent collaboration skills with engineering, product and business stakeholders; airline or revenue management exposure is a plus.
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