Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Data Analytics and Applied Statistics Lead Engineer (Visa Sponsorship Available)

Techwaka
Cheltenham
2 months ago
Create job alert

Job Description Summary

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.

GE Aerospace is one of the worlds largest manufacturers of aircraft engines and components partnering with major commercial, business jet and military aerospace companies and organisations

Job Description

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.

Flexible Working

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. Please see the link below for further details regarding the requirements for BPSS clearance:BPSS

Right to Work

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 as may be in place from time to time, 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. For further information please visit theUK Visas and Immigration website.


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Manager of Data Science

Director, Data Analytics- Risk & Fraud

Director, Data Analytics- Risk & Fraud

Lead Data Scientist

Principal Product Data Scientist

Data Science Manager

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.

Why Now Is the Perfect Time to Launch Your Career in Data Science: The UK's Analytics Revolution

The United Kingdom stands at the forefront of a data science revolution that's reshaping how businesses make decisions, governments craft policies, and society tackles its greatest challenges. From the machine learning algorithms powering London's fintech innovation to the predictive models guiding Manchester's smart city initiatives, Britain's transformation into a data-driven economy has created an unprecedented demand for skilled data scientists that far outstrips the available talent. If you've been contemplating a career transition or seeking to position yourself at the cutting edge of the digital economy, data science represents one of the most intellectually stimulating, financially rewarding, and socially impactful career paths available today. The convergence of big data maturation, artificial intelligence mainstream adoption, business intelligence evolution, and cross-industry digital transformation has created the perfect conditions for data science career success.

Automate Your Data Science Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

Data science roles land daily across banks, product companies, consultancies, scaleups & the public sector—often buried in ATS portals or duplicated across boards. The fix: put discovery on rails with keyword-rich alerts, RSS feeds & a reusable ChatGPT workflow that triages listings, ranks fit, & tailors your CV in minutes. This copy-paste playbook is for www.datascience-jobs.co.uk readers. It’s UK-centric, practical, & designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning Core DS, Applied/Research, Product/Decision Science, NLP/CV, Causal/Experimentation, Time Series/Forecasting, MLOps-adjacent & Analytics Engineering overlaps. Shareable Boolean searches for Google & job boards that strip out noise. Always-on alerts & RSS feeds that bring fresh UK roles to you. A ChatGPT “Data Science Job Scout” prompt that deduplicates, scores match & outputs ready-to-paste actions. A simple pipeline tracker so deadlines & follow-ups never slip.