Data Scientist

Data Scientist Our Mission At Vertical Aerospace, we are pioneering the way for electric aviation. The Valo, our eVTOL (electric, vertical, take-off and landing), 'zero emissions' aircraft will set a new safety standard for how we will navigate the sky. We won't realise our mission following the same legacy processes and traditions our predecessors followed, instead, we want to 'redefine' aerospace best practices. We are growing quickly from a prototype business to a scaling SME, and the next few years will be critical to our success and delivering on our ambitious goals. Valo is targeting airliner-level safety certification in 2028 ahead of entering service with our airline and operator customers. What to Expect As a Data Scientist, you will work closely with engineering teams to develop models that support design, testing, and operational decision-making. This includes building and validating models such as battery lifespan predictions and surrogate models for loads modelling. You will be expected to take problems from concept through to deployable solutions, working with data engineers to ensure models are supported by reliable data pipelines and can be integrated into engineering workflows. The role requires a strong focus on practical application, ensuring models are interpretable, validated, and usable within a certification-driven environment. What You’ll Do - Develop and validate predictive models to support a range of engineering and operational use cases, including performance forecasting and reliability analysis - Build surrogate and approximation models to represent complex systems and simulations, enabling faster and more scalable analysis - Work closely with engineering teams to understand physical systems and translate them into data-driven models - Analyse large-scale time-series datasets from flight and test environments - Collaborate with data engineering to ensure reliable data ingestion, transformation, and availability for modelling to enable data science and advanced analytics - Deploy models into production environments or engineering toolchains, ensuring they are maintainable and usable - Ensure models are well-documented, explainable, and aligned with engineering and certification requirements - Contribute to the development of reusable modelling frameworks and approaches across the organisation - Support the wider analytics capability where advanced modelling or statistical analysis is required What You’ll Bring - Strong experience in applied data science or scientific modelling within an engineering or physical systems context - Proven ability to develop, validate, and deploy predictive models using real-world data - Experience working with time-series data and sensor-driven datasets - Solid understanding of statistical methods, machine learning techniques, and model validation approaches - Experience working in Python or similar, with relevant scientific and data libraries - Ability to work closely with domain experts (e.g. aerospace, mechanical, or electrical engineers) and translate requirements into models - Understanding of the challenges of deploying models into production or engineering environments - Strong problem-solving skills, with a focus on practical and usable outputs rather than theoretical models - Interest in aviation, electric propulsion, or complex engineered systems What can you expect from us? We're on a mission. Where others see limits, we see opportunity, and we work at pace. Working at Vertical isn't your average role but for those seeking a challenge, a flexible, supportive organisation and an incredible team; working here is an opportunity to do the best work of your career. Our approach promotes ingenuity and courage, while our environment builds success through diligence in safety and being open in the way we work. The only way we're going to assure the next chapter of aviation history is by working as a team, relentlessly, towards our goal. ... (truncated, view full listing at source)