Data Scientist

Job description

Key Responsibilities

Design and implement predictive and prescriptive models for MRO AI Solutions.
Perform exploratory data analysis and feature engineering.
Collaborate with Data Engineers to ensure data readiness for modeling.
Communicate findings and recommendations to business stakeholders.
Continuously improve models based on feedback and operational performance.
Develop models and analytics that can be generalized and adapted for different OpCos without extensive rework.

Required Skills & Experience

Proficiency in Python and ML frameworks (TensorFlow, PyTorch).
Strong statistical and analytical skills.
Experience with a wide range of Data Science techniques (e.g. ML, Optimisation, Simulation, GenAI, etc.).
Demonstrated ability to take models from design through to production deployment, including performance optimization, monitoring, and integration into business workflows beyond proof-of-concept or prototype stages.
Familiarity with airline operations or supply chain analytics is desirable.
Significant experience in similar roles, with a proven ability to integrate quickly into new teams and deliver immediate value.
Initial co-location with BA teams in London is essential to ensure close collaboration. Candidates must also be prepared to travel internationally during later stages to facilitate group-wide deployment.

Preferred Consulting-Level Competencies

Ability to frame complex problems and deliver actionable solutions.
Strong presentation and storytelling skills for executive audiences.
Experience in high-impact consulting or transformation projects.
Track record of creating high-impact outcomes and driving stakeholder satisfaction from day one.
Experience in building reusable AI components and frameworks for enterprise-scale deployments.

Create a free account to apply for this job and get access to:

Create free account Log in

Explore more opportunities like this one.

Create your free account and tailor your CV to match this job.