Data Analytics and Applied Statistics Lead Engineer

GE Aerospace is seeking a highly skilled and motivated Data Analytics and Reliability Engineer to join our team. In this role, you will be responsible for driving data validation, automation strategies, and predictive analytics initiatives to support fleet management and reliability efforts. You will also develop and maintain tools to streamline data cleansing processes, implement advanced analytics solutions, and provide statistical expertise to cross-functional teams. Your contributions will directly enhance the performance and reliability of aviation products, ensuring safety and quality remain our top priorities.

Roles and Responsibilities:

• Drive data validation and automation strategy, including process development and training.
• Develop, support and maintain tools to automate data cleansing efforts and deliverables for the business.
• Define and develop strategy to implement advanced predictive analytics tools and visualisations.
• Support evaluation and implementation of improved analytics tools and techniques.
• Lead acquisition and implementation of data sources (internal, customer, airframer, supplier and MRO data).
• Provide Reliability/In-Service support. Clean, validate and categorise datasets/sources, as required.
• Complete contractual, non-contractual, and ad-hoc data and reliability requirements, as assigned.
• Develop statistical models for specific issues, execute accurate analyses and provide clear link between statistical results and physics.
• Communicate technical content to satisfy requests using appropriate media (e.g. presentation) to a variety of stakeholders at all levels.
• Provide statistical guidance to other personnel and assigned teams, mentor others in the organisation.
• Adhere to departmental compliance, company policies and government regulations.

Required Qualifications:

• This role requires advanced experience in the Engineering/Technology & Fleet Management.
• Knowledge level is comparable to a Bachelor's degree from an accredited university or college (or a high school diploma with relevant experience).
• Intermediate to expert skills in Statistical Software, with the ability to adapt to a variety of IT tools and Programming / Scripting Language experience (R, Python, etc).

Desired Characteristics:

• Knowledge and understanding of the Aerospace industry and/or Aviation products and experience performing reliability engineering or FRACAS activities.
• Strong knowledge of Statistical tools, models and their real world application.
• Ability to drive improvements in efficiency for multiple, concurrent projects.
• Ability to analyse, identify and develop solutions to problems using a wide range of data.
• Experience with R, Python, SQL and/or Oracle databases.
• Exposure/experience with data science techniques and/or predictive analytics tools.

GE supports flexible hybrid working arrangements where possible.

Total Reward:

At GE Aviation we understand the importance of Total Reward. Our flexible benefits plan, called FlexChoice, gives you freedom, choice and flexibility in the way you receive your benefits, as well as giving you the opportunity to make savings where possible.

As a new joiner to GE we are pleased to be able to offer you the following as default in your benefit fund, which you then can tailor to meet your individual needs:

• Pension
• Bonus
• Life Assurance
• Group income protection
• Private medical cover

Security Clearance:

Baseline Personnel Security Standard (BPSS) clearance is required and must be maintained for this role. Please note that in the event that BPSS clearance cannot be obtained, you may not be eligible for the role and/or any offer of employment may be withdrawn on grounds of national security.

Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications. However, under the applicable UK immigration rules, it may be that candidates who do not currently have the right to work in the UK may not be appointed to a post if a suitably qualified, experienced and skilled candidate who does not require sponsorship is available to take up the post.