Data Science Lead

Fantastic challenges. Amazing opportunities.

GKN Aerospace is reimagining air travel: going further, faster and greener! Fuelled by great people whose expertise and creativity sets the standards in our industry, we’re inspired by the opportunities to innovate and break boundaries. We’re proud to play a part in protecting the world’s democracies. And we’re committed to putting sustainability at the centre of everything we do, opening up and protecting our planet. With over 16,000 employees across 33 manufacturing sites in 12 countries we serve over 90% of the world’s aircraft and engine manufacturers and achieved sales of £3.35 bn.in 2023. There are no limits to where you can take your career.

Job Summary

The Data Scientist applies machine learning, statistical modelling, and analytical techniques to extract value from the varied datasets used across GKN Aerospace Engines. Working within the Data & Analytics Office, the role focuses on exploring complex data, developing predictive and statistical models, and delivering analytical outputs that support engineering, operational, and business decisions. The role provides technical input during discovery, advises on feasibility, and delivers end-to-end analytical solutions.

Job Responsibilities

- Apply machine learning and statistical methods to engineering, operational, and business challenges using data such as machine time-series, manufacturing records, logistics/ERP data, and unstructured documents.
- Conduct exploratory and diagnostic analysis to assess feasibility, identify insights, validate assumptions, and support value-proving work.
- Develop, train, validate, and refine predictive models, including classical ML, deep learning, statistical models, and LLM-based solutions.
- Build analytical workflows end-to-end, including ingestion of unstructured data automated pipelines, and the use of LLM and agent-based approaches where appropriate.
- Collaborate with Data Engineers and IT to ensure reliable data pipelines, data quality, and scalable processing within the on-prem Kubernetes (k8s) environment.
- Stay up-to-date with the latest data science and machine learning technologies and techniques.

Qualifications & Personal skills

- Technically strong in machine learning, statistical modelling, and data science practices, with proficiency in Python or similar tools.
- Comfortable working with varied and complex datasets, including time-series, enterprise data, and unstructured/text data.
- Familiar with on-prem environments, containerization, and deployment practices such as Docker, Kubernetes, and CI/CD.
- Excellent problem-solving and critical thinking skills.
- Strong communication and collaboration skills.
- Ability to work independently and manage multiple priorities effectively.
- Passion for working with data and driving business insights and value from data analysis.

Application

Form of employment: Permanent

The selection process takes place continuosly. The position may therefore be filled before the application deadline. Therefore, do not wait with your application!

Last date for application: 2025-12-23

For more information, please contact hiring manager:
Jon Eklöf, CDO

The position requires that you undergo and be approved according to the current regulations for security protection. For positions where GKN's customer has requirements for security classification, this may, in some cases, involve specific citizenship requirements.

We’ll offer you fantastic challenges and amazing opportunities. This is your chance to be part of an organisation that has proven itself to be at the cutting edge of our industry; and is committed to pushing the boundaries even further. And with some of the best training on offer in the industry, who knows how far you can go?

A Great Place to work needs a Great Way of Working

Everyone is welcome to apply to GKN. We believe that we can only achieve our ambitions through a coming together of diverse minds who enjoy collaborating in an inspirational environment. Through our commitment to diversity, inclusion and belonging and by living our five powerful principles we’ve created a culture where everyone feels welcome to contribute. It’s a culture that won us ‘The Best Workplace Culture Award’. By embracing and celebrating what makes us unique we encourage everyone to bring their full self to work.

We’re also committed to providing an accessible recruitment process, so if you require reasonable adjustments at any stage during our recruitment process please get in touch and let us know.

We are the place where human dreams, plus human endeavour, shape the future of aerospace innovation and technology. ​
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