Data Science Engineer

About the role

Quvia is seeking a Data Science Engineer to lead the development of data‑driven solutions for its NextGen connectivity platform. You will work closely with product and engineering teams to embed advanced analytics into our flagship product, helping customers move and manage data in highly constrained network environments.

Key responsibilities

• Guide a high‑performing data science team in creating scalable, impact‑focused solutions for product development.
• Design and implement analytics frameworks that include predictive and prescriptive modelling, with strong emphasis on data quality and security.
• Identify high‑impact datasets, develop anomaly detection and knowledge‑graph insights, and integrate them seamlessly into product features.
• Develop advanced models for forecasting, classification, and optimisation that adapt to changing user needs.
• Deploy, monitor, and maintain models in production, ensuring robustness and adaptability.

Required profile

• Proven experience leading data science initiatives and teams.
• Strong background in predictive and prescriptive modelling.
• Experience with data quality, security, and integration into software products.
• Ability to work in a fast‑growing, early‑stage technology environment.

Required skills

• Machine learning
• Optimization
• Neural networks
• Predictive modelling
• Prescriptive modelling

What we offer

• Opportunity to shape a cutting‑edge product in a Series A startup.
• Collaborative, remote‑friendly work environment with global teams.
• Exposure to innovative AI‑driven connectivity solutions across aviation, maritime, energy and more.