Senior Data Scientist

3-MONTH CONTRACTLONDON (HYBRID: 2 DAYS ON-SITE)£600 PER DAY (INSIDE IR35)

This position as a Data Scientist offers the opportunity to work within a central and innovative team in the aviation sector. The role focuses on optimizing engineering workflows and maintenance operations to enhance aircraft availability. This is an excellent opportunity to deliver impactful solutions in a data-driven environment, where you will collaborate with a growing team of experts.

This organization has been at the forefront of innovation in aviation and engineering. The team is dedicated to leveraging data science to improve operational efficiency and address key challenges in aircraft maintenance and resource allocation. With recent investments in data science initiatives, they are driving significant progress and innovation in their domain.

As a Data Scientist, your primary goal will be to develop a model to optimize task assignment for airline staff. Key responsibilities include:

• Model Development: Creating and deploying an optimization model that assigns teams of employees to specific tasks
• Data Integration: Collecting and consolidating data from various sources to ensure comprehensive and accurate insights.
• Prototyping to Deployment: Working with an existing prototype to refine, test, and operationalize it for production use.
• Tool Usage: Utilizing DataIQ (an end-to-end MLOps tool) for low-code data preparation and model building.
• Collaboration: Partnering with data architects and engaging with users to ensure solutions align with real-world requirements and deliver tangible results.
• Project Deadlines: Completing the project, including testing, by a hard deadline in April.

The ideal candidate will have:

• Strong experience in SQL and model optimization.
• Experience in developing and deploying machine learning or optimization models into production (essential).
• Python knowledge (preferred).
• Ability to engage with commercial users and embed solutions effectively into workflows.
• Understanding of MLOps practices, with experience using tools like DataIQ or similar.

Please register your interest by sending your CV