Rapidly design, configure & deploy EHM solutions to support the service and improve its effectiveness.
Capture requirements for EHM improvements through Value Delivery Board, Project Zero and any other relevant forums.
Design and implement automated testing frameworks to validate data pipelines and ensure compliance with aerospace standards.
Develop and maintain Python scripts for data validation, anomaly detection, and quality assurance.
Analyse complex datasets to identify trends, inconsistencies, and optimisation opportunities.
Collaborate with engineering and IT teams to define data requirements, testing protocols, and quality benchmarks.
Respond to in-service issues by reconfiguring live data streams and deploying new analytics to maintain fleet-level data integrity.
Drive continuous improvement initiatives, embedding best practices in IT quality and testing across the data lifecycle.
Work with customers to enhance the value of EHM services & identify future EHM opportunities.

Degree in Aero Engineering, Data Science, Computer Science, Data Engineering or relevant experience in EHM service, engine performance or service engineering or a related field.
Essential skills Python expertise
able to design, test, and optimise robust scripts and frameworks for data analysis, automation, and quality assurance.
Strong proficiency in SQL for querying, manipulation, and quality assurance.
Solid understanding of IT quality principles, testing methodologies, and defect management.
Strong analytical and problem-solving skills, with attention to detail and ability to meet tight deadlines.
Excellent communication and collaboration skills across technical and non-technical teams.
Familiarity with Azure cloud-based data platforms is desirable.
Focused on results, able to work under pressure, equally capable of managing short term deadlines and long-term projects.
Positive attitude to work, strong team working skills and ethical behaviour, being able to work with minimum supervision.
Strong IT user & configuration skills (to include applications such as SQL, Power BI, Matlab, Phyton, MS Azure, Databricks)

Collaborative working environment – we stand shoulder to shoulder with our clients and our peers through good times and challenges
We empower all passionate technology loving professionals by allowing them to expand their skills and take part in inspiring projects
Expleo Academy
enables you to acquire and develop the right skills by delivering a suite of accredited training courses
Competitive company benefits
Always working as one team, our people are not afraid to think big and challenge the status quo
As a Disability Confident Committed Employer we have committed to:
Ensure our recruitment process is inclusive and accessible.
Communicating and promoting vacancies.
Offering an interview to disabled people who meet the minimum criteria for the job
Anticipating and providing reasonable adjustments as required
Supporting any existing employee who acquires a disability or long term health condition, enabling them to stay in work
at least one activity that will make a difference for disabled people
“We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age”.
We treat everyone fairly and equitably across the organisation, including providing any additional support and adjustments needed for everyone to thrive.

Data Scientist

Key skills