4 of 4 Data Scientist Jobs in Middlesex

Capacity Planning Data Scientist Location: Middlesex (3 days onsite, 2 days from home) Salary: Negotiable depending on experience Job Ref: J13078 A market leading global logistics organisation is seeking a highly motivated Airline Capacity Planning Data Scientist who wants to apply their work in a real … will directly influence how capacity is planned, optimised, and delivered within a complex, high volume operational setting. This role sits at the intersection of data science and operations research, with a strong focus on simulation, modelling, and real world system optimisation. You will work with large scale datasets ...

Title: - Embedded Data Scientist Duration: 6 months Location: Waterside Off Bath Road Harmondsworth Middlesex.Description: Role Purpose The Data Scientist will develop advanced models and analytics to unlock value from BA's operational data while ensuring solutions can be adapted for other OpCos. This role requires … strong ability to translate insights into business impact. Key Responsibilities Design and implement predictive and prescriptive models for MRO AI Solutions. Perform exploratory data analysis and feature engineering. Collaborate with Data Engineers to ensure data readiness for modeling. Communicate findings and recommendations to business stakeholders. Continuously improve ...

Capacity Planning Data Scientist Location: Middlesex (3 days onsite, 2 days from home) Salary: Negotiable depending on experience Job Ref: J13078 A market leading global logistics organisation is seeking a highly motivated Airline Capacity Planning Data Scientist who wants to apply their work in a real ...

What you’ll do: Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player … experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low-latency, highly reliable cloud-based AI systems for live sports scenarios, ensuring ...