{"@context":"https://schema.org/","@type":"JobPosting","title":"Data Scientist

Hays plc
West Drayton, United Kingdom
12 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

West Drayton, United Kingdom

Tech stack

Artificial Intelligence
Python
Machine Learning
Performance Tuning
TensorFlow
Software Deployment
PyTorch
Data Analytics

Job description

I am working with a key client within the Aviation Sector who are looking for a number of Data Scientists to join their team for an AI / Machine Learning Programme, working on Maintenance, Repair and Overhaul, improving systems and looking at automation. The project is estimated to last over two years, and will be offered in the form of a rolling 6 monthly contract, inside IR35.

Requirements

Please only apply if you have strong optimisation skills, predictive / prescriptive modelling, operational focussed machine learning, hands on experience with Python / Tensor Flow and Pytorch and have proven experience taking models into production.

The key component to this role having strong experience of putting Solutions into Production and to work directly with stakeholders as a business facing Data Consultant. You will need to have worked on challenging optimisation problems in a corporate operations environment., * Proficiency in Python and ML frameworks (TensorFlow, PyTorch).

  • Strong statistical and analytical skills.
  • Experience with a wide range of Data Science techniques (e.g. ML, Optimisation, Simulation, GenAI, etc.).
  • Demonstrated ability to take models from design through to production deployment, including performance optimisation, monitoring, and integration into business workflows beyond proof-of-concept or prototype stages.
  • Familiarity with airline operations or supply chain analytics is desirable.
  • Significant experience in similar roles, with a proven ability to integrate quickly into new teams and deliver immediate value.
  • Initial co-location with teams in London is essential to ensure close collaboration. Candidates must also be prepared to travel internationally during later stages to facilitate group-wide deployment.

Apply for this position