Data Engineer jobs in United Kingdom

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Summary
• Based at Manchester Airport
• Permanent Role
• Flexible/Hybrid working for a better work/life balance.
• We are proud to be a diverse employer, and we welcome candidates from all backgrounds.

Why MAG?

At MAG we provide the airport facilities and travel services that people need to connect with the world. As the largest UK owned airport operator, we serve over 60 million passengers a year from Manchester, London Stansted, and East Midlands Airports. With over 270 destinations across the globe, our businesses not only bring people together but also support the prosperity of the regions in which we operate.
Sustainability is one of our core values, and it shapes everything we do. We're committed to protecting the environment and supporting our local communities. Our programmes include airport and airline decarbonisation, comprehensive education, skills and employment support and community engagement initiatives including volunteering opportunities.
At MAG, we recognise creating a first-class journey for our customers starts by creating a first-class career journey for our colleagues and we are committed to building inclusive environments in which our people can thrive.

You'll also have access to some great benefits including:
• Flexible and generous company pension plan with various company contribution options
• 24 days holiday plus bank holidays
• Free parking
• Subsidised public transport
• Huge range of company discounts
• 2 volunteering days per year
• Free Virtual GP service, available 24 hours a day, 7 days a week
• Care Concierge service

The Role

As a Data Scientist at MAG, you'll help us unlock insight from vast and complex data sets to drive strategic decisions and operational improvements. Working across multiple airport operations and business functions, you'll apply advanced machine learning and AI models to tackle a wide range of challenges - from forecasting and customer segmentation to incident detection using innovative data sources like CCTV and social media.
You'll develop and deploy predictive models, deliver tailored insights to stakeholders, and help shape MAG's long-term data strategy as part of a growing Data Science team.

What will make you successful in the role?

We're looking for a technically skilled and inquisitive Data Scientist who thrives in solving complex problems. You'll need:
• Experience developing, deploying, and maintaining machine learning models
• Strong Python skills - can write clean, testable code, and have experience with pandas/polars, numpy, scikit-learn, TensorFlow/PyTorch, etc.
• Experience using SQL and managing large datasets from disparate sources
• Familiarity with cloud-based tools such as AWS SageMaker, Lambda, CDK
• Strong understanding of AI/ML concepts, including gradient-boosted tree models, clustering, time series, linear programming, and LLM engineering
• A collaborative approach with the ability to explain complex concepts clearly to both technical and non-technical stakeholders
• A proactive mindset with a desire to keep up to date with the latest advancements in AI, data science, and machine learning

Equal Opportunities & Reasonable Adjustments

At MAG we believe in the importance of diversity & inclusion for all. We are committed to creating a workforce that is reflective of our society. As such we welcome applications from candidates from all backgrounds.
We're also committed to well-being with a focus on mental health and supporting colleagues from underrepresented groups through our Colleague Resource Groups.
As a Disability Confident employer, we are committed to creating an environment where candidates and employees can perform at their optimum. Please let us know if we can provide you with any reasonable adjustments to aid your application or interview process.
You can contact the team by emailing HR.Recruitment@MAGAirports.com
Our Colleague Resource Groups include: Women's Network, Embrace - Race & Ethnicity Group, Fly With Pride (LGBTQIA+), Mental Health, Parent & Carers, Disabilities including neurodiversity.

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