Data Scientist

Responsibilities

We are representing a confidential logistics technology organisation seeking a Data Scientist to join their London-based team. In this hybrid role, you will take ownership of the full data science lifecycle, powering machine learning algorithms that drive critical operational decisions including demand forecasting, delivery time predictions, and supply chain optimisation.

Your responsibilities will include:

• Improving existing model architectures and adapting them to solve new operational challenges and support business expansions
• Designing and building scalable data pipelines to feed high-quality data into machine learning models
• Owning, supporting, and maintaining machine learning models in production environments, ensuring high availability and performance
• Collaborating with product teams to identify, define, and build new machine learning applications
• Working alongside software engineering teams to design robust interfaces between machine learning models and broader software systems
• Communicating complex technical findings and model performance clearly to both internal and external stakeholders
• Promoting and upholding best practices in machine learning development, testing, and continuous deployment
• Staying current with the latest machine learning research to identify and implement innovative techniques

What We're Looking For

Essential Requirements:

• Strong programming proficiency in Python and solid knowledge of SQL
• Practical experience working with Google Cloud Platform (GCP)
• Either 2+ years of data science experience with an emphasis on productionising models, OR 2+ years in a software/data engineering role with formal study in machine learning
• Good comprehension of fundamental machine learning concepts
• Familiarity with modern software development processes, including code reviews, CI/CD, testing, and documentation
• Ability to document and explain technical concepts clearly to non-technical audiences

Nice to Have:

• Experience with deep learning frameworks such as TensorFlow or Keras
• Knowledge of time-series modelling techniques, particularly transformers
• Experience working with geospatial data and geospatial modelling techniques

How We Work With You

Our talent team at Get A Job.ai partners with leading organisations to connect exceptional candidates with opportunities that match their skills and career goals. When you apply through our platform, one of our experienced recruiters will conduct an initial screening to understand your background and ensure strong alignment with the role requirements. We will then submit your profile to our client for consideration and guide you through each stage of their interview process.

Please note: all applications must come through Get A Job.ai. We ask that you do not attempt to contact the client directly, as this may affect your candidacy.

Pay

Compensation details will be discussed during the screening process with our recruiting team.

Equal Opportunity

Get A Job.ai is committed to inclusive recruiting practices. We welcome applications from all qualified candidates and are dedicated to building diverse teams. If you require any accommodations during the application or interview process, please let us know.