Share this Job

Senior Data Scientist - Manchester

Date: 30-Jul-2021

Location: Manchester Airport, GB

Company: MAG


  • We are proud to be a diverse employer, and we welcome candidates from all backgrounds
  • Flexible/ Hybrid working for a better work/ life balance
  • Develop something new – see the results!
  • Work for an iconic business and do things never before achieved within our industry
  • Competitive base + 11% company contribution pension, bonus, free parking and other corporate benefits
  • Based above Manchester Airport’s Train/ Tram station


The Business


MAGO is a truly agile eCommerce business that incapsulates innovation and the ‘art of the possible’. As the digital tech division of Manchester Airport Group, we have great offices with the usual array of table tennis tables/ foosball/ coffee machines/ sofas etc… However, what truly sets us apart is the opportunity to work on globally unique eCommerce systems that are built using the emerging tech and agile principles. As a Data Scientist, we understand that you are always learning, so we offer an array of training including; Udemy courses, online learning, exam vouchers, tickets to conferences etc etc. Most importantly, you will work on projects that make a real difference, receive feedback from users, and allow you to see the work you’re doing actually make a difference. Finally, you will join a company that is laser focused on being the number one global agency for airport services; delivering defined business and tech goals with a team that will allow you to deliver with adult autonomy.


Have a stroll around our office:

What we do:


The Role


As our new Senior Data Scientist you will be key in the growth of MAGO’s data science capability – not least in breaking new ground in helping us develop models and methods to solve new problems. Key amongst those will be productionising forecasting algorithms, alongside understanding customer behaviour, to increase relevancy and customer personalisation. This is an exciting role for anyone who wants to build something new and see the fruits of their labour as we deliver (using agile principles of incremental deployment) a completely new, globally unique product to new and existing clients worldwide.  Moreover, you will be working within a tech literate business with people across all departments who share the same product goals. We are a business that is pulling in the same direction and are supportive, even reliant on each other’s innovation. 


This role offers an opportunity to work at scale with data from MAG’s 3 airports, our (MAG owned) distribution companies, MAG USA and global clients. MAG’s customers alone number 60 million passengers per year, 70,000 car parking spaces, and digital properties attracting 30 million visitors per year. The projects supported are also varied, including forecasting, revenue management, support to the CRM team with optimization, customer experience, and recommender systems, with increasing interest in real-time solutions.


This role will suit anybody keen to work (and continue to develop) in, the following key areas:


  • Forecasting & time series modelling
  • Audience analysis & intelligence
  • Predictive analytics
  • Recommendation systems
  • Taking machine learning models into production



Degree qualified, and with a passion for data science, you will have a strong set of insight skills. You will also have significant and proven first-hand experience with a range of qualitative and quantitative analytical techniques in a commercial environment. Furthermore, you will be able to visualise and present insights in a compelling way for a ‘lay’ audience. You will bring an extensive working knowledge of machine learning techniques including methods such as Regression, Decision Trees, Random Forests, Naïve Bayes, and Support Vector Machines; time series modelling techniques and some understanding or experience with deep learning models (LSTM etc) will be a bonus.

Ideally from within a commercial environment, you will have experience working with data using Python and preparing reports Jupyter and other notebooks, along with experience of architectures suitable for large data set manipulation and utilisation.



What are we offering?


  • A company that is inclusive and tolerant to all
  • Flexible working approach (not just during Covid, but ongoing)
  • Strong base salary (on experience) + 11% pension and bonus
  • Free parking and significantly subsidised public transport
  • Discounts on company products
  • 25 days Holiday entitlement (plus the ability to buy more)
  • Great work culture: the feel of a tech start-up with the backing of a global corporate with fantastic career development and advancement opportunities
  • Based above a train/ tram station for an easy commute (when not working from home!)
  • Free coffee/ gym/ break out areas/ great company culture and approach
  • AWS Certification (if needed) / online training/ exam vouchers/ tickets to events etc.



If you feel that you are the right candidate, then please click ‘apply’ now! We’d love to hear from you



Equal Opportunities


MAG is a values led organisation and we are committed to providing equal opportunities in all areas of work and business.  We want people to achieve their best, which will in turn positively impact on our customers and the communities in which we live and work. At MAG we empower people to be themselves within an inclusive and supportive environment, enabling everyone to achieve their full potential in line with their abilities and career aspirations.


Reasonable Adjustments


As an inclusive employer, MAG wants to see every candidate performing at their best throughout the job application process, interview process and whilst at work. We therefore encourage you to inform us of any reasonable adjustments you might need to enable this to happen.