Data Scientist – MRO AI Solutions (Embedded in Operations)
Role Purpose
We are seeking a highly skilled Data Scientist to develop advanced AI and ML models that unlock operational value within a major corporation's maintenance, repair, and operations (MRO) function. The role requires the ability to translate complex data insights into actionable business outcomes and create solutions that can be adapted across multiple operational entities globally.
Key Responsibilities
Design and implement predictive and prescriptive models to optimize MRO operations.
Perform exploratory data analysis, feature engineering, and model validation.
Collaborate with data engineering teams to ensure high-quality, production-ready datasets.
Data Scientist – MRO AI Solutions (Embedded in Operations)
Role Purpose
We are seeking a highly skilled Data Scientist to develop advanced AI and ML models that unlock operational value within a major corporation's maintenance, repair, and operations (MRO) function. The role requires the ability to translate complex data insights into actionable business outcomes and create solutions that can be adapted across multiple operational entities globally.
Key Responsibilities
Design and implement predictive and prescriptive models to optimize MRO operations.
Perform exploratory data analysis, feature engineering, and model validation.
Collaborate with data engineering teams to ensure high-quality, production-ready datasets.
Communicate findings and recommendations to senior business stakeholders.
Continuously refine models based on operational feedback and performance metrics.
Develop scalable and reusable AI solutions that can be generalized for other operational units. Required Skills & Experience
Proficiency in Python and ML frameworks (TensorFlow, PyTorch).
Strong statistical, analytical, and problem-solving skills.
Experience with a wide range of Data Science techniques (ML, optimization, simulation, GenAI, etc.).
Proven ability to deliver end-to-end solutions from prototype to production.
Familiarity with MRO or supply chain analytics is a plus.
Experience integrating quickly into new teams and delivering high-impact results.
Willingness to initially work on-site and travel internationally for deployment across operational units. Preferred Consulting-Level Competencies
Ability to frame complex problems and deliver actionable solutions.
Excellent presentation and storytelling skills for executive audiences.
Experience in high-impact transformation or consulting projects.
Track record of building enterprise-scale AI components and frameworks. Stats for this job Salary comparison: This job National average IT Jobs average London average Salaries The number of jobs in each salary range for all: Receive
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Communicate findings and recommendations to senior business stakeholders.
Continuously refine models based on operational feedback and performance metrics.
Develop scalable and reusable AI solutions that can be generalized for other operational units. Required Skills & Experience
Proficiency in Python and ML frameworks (TensorFlow, PyTorch).
Strong statistical, analytical, and problem-solving skills.
Experience with a wide range of Data Science techniques (ML, optimization, simulation, GenAI, etc.).
Proven ability to deliver end-to-end solutions from prototype to production.
Familiarity with MRO or supply chain analytics is a plus.
Experience integrating quickly into new teams and delivering high-impact results.
Willingness to initially work on-site and travel internationally for deployment across operational units. Preferred Consulting-Level Competencies
Ability to frame complex problems and deliver actionable solutions.
Excellent presentation and storytelling skills for executive audiences.
Experience in high-impact transformation or consulting projects.
Track record of building enterprise-scale AI components and frameworks. Stats for this job Salary comparison: This job National average IT Jobs average London average Salaries The number of jobs in each salary range for all: Receive