Responsibilities

Lead and collaborate with a team of data scientists and analysts, fostering a culture of innovation and continuous improvement.
Design and implement robust data models and algorithms using advanced statistical techniques.
Collaborate with cross-functional teams to identify key business challenges and provide data-driven recommendations.
Develop dashboards and visualisations to communicate findings effectively to stakeholders at all levels.
Stay abreast of industry trends and advancements in data science to enhance technical knowledge and apply the latest methodologies.
Contribute to the development of best practices in data governance and data quality management.

Requirements

Possess a strong background in a quantitative field such as Data Science, Statistics, Computer Science, or a related discipline, complemented by extensive experience in a data analytics or data science role, preferably within an aerospace or engineering context.
A master’s degree or PhD in Data Science, Statistics, Machine Learning, or related field.
Proficient in programming languages such as Python, or SQL, along with experience in machine learning libraries and frameworks.
Demonstrated ability to manage multiple projects simultaneously and deliver results in a fast-paced environment.
Strong problem-solving skills and a passion for unraveling complex datasets.
Excellent communication and interpersonal abilities, with the proficiency to explain complex concepts to non-technical audiences
Familiarity with aerospace systems (e.g., PLM, MES, MRO platforms) and cloud platforms (e.g., AWS) are advantageous