Data Scientist Permanent

Company Background

SATAVIA applies data analytics and cutting-edge atmospheric science to make aviation smarter and greener. SATAVIA’s proprietary DECISIONX:5-DX platform generates a digital twin of the atmosphere from surface to space, simultaneously enabling smarter asset condition monitoring (DECISIONX:FLEET) and reduced climate impact through contrail prevention (DECISIONX:NETZERO).

Combining deep connections in the aviation ecosystem with an agile start-up culture, SATAVIA is able to scale quickly and adapt to new opportunities and partnerships. Rooted in scientific and technological acumen and working with leading players ranging from Microsoft to Airbus, SATAVIA embodies an entrepreneurial mindset with the ambition to transform the relationship between aviation and the environment.

We have already assembled an exceptional group of people, combining talent in atmosphere and climate science, aerospace engineering, and full-stack cloud software and data-engineering. We are now looking for passionate and motivated individuals to join our expanding team and help make aviation smarter and greener.

The Opportunity

We are currently seeking an experienced Data Scientist to join the team. In this role you will be building and working with extensive new data sets to help reduce the climate impact of aviation. You will be involved in engineering data pipelines and optimising data access, as well as deriving insights and building models from the data.

Because you will be joining a rapidly expanding team, you will need to be a team player who thrives in a fast-paced environment, with a focus on rapidly moving research developments into products. We strongly encourage versatility and knowledge transfer within and across teams. You will be expected to act as a role model and mentor for less experienced members of the team.

If you are a talented, detail-oriented Data Scientists with a solid software development foundation and a commitment to deliver the best possible technology solutions, then we want to hear from you!

Key Responsibilities

• Generating large databases from various sources of structured and unstructured data
• Analysing data and generating statistical information to identify trends and patterns
• Using a range of programming languages (mainly python) to transform big data into data sets
• Developing data visualisations and interactive dashboards that combine visuals with real-time data
• Developing algorithms to clean and transform datasets, and make large datasets accessible to the whole team
• Working with Technologists to integrate and separate data feeds to map, produce, transform and test new scalable data sets
• Build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organisation
• Use machine learning tools and statistical techniques to produce solutions to problems
• Create clear reports that tell compelling stories about how customers or clients work with the business and technical data
• Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods
• Horizon scan to stay up to date with the latest technology, techniques and methods
• Conduct research from which you’ll develop prototypes and proof of concepts
• Stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work.