HIRING NOW: Junior Data Scientist

About Us

We are democratising simulation training by bringing high end simulation capability, once the sole domain of elite roles such as pilots, surgeons and F1 drivers, to whoever needs it, whenever they need it, wherever they need it.

Our insight is that VR, as well as being a great way of presenting data to a user, is also an incredibly powerful data capture medium. We combine virtual reality technology with data capture, analysis and machine learning (ML) in order to measure, evaluate and predict human performance and improve training outcomes.

VR simulation has the added benefit of reducing the cost and carbon footprint of traditional training. We are focussed on helping customers in aerospace, defence and offshore wind, working through both MoDs and OEM/Primes.

We believe in creating shared value for our customers, investors, employees and community by adopting the ‘Triple Bottom Line’ and the B Corporation constitution. This means our company has a legal obligation to balance sustainable profit, with sustainability for people and the planet.

The role:

We’re looking for a Data Scientist Jr. to join our data team to work on developing our machine learning (ML) algorithms and other data analysis. This role will be centred on the large simulation related datasets we have gathered, helping us to develop predictive analytics, and work towards our product vision of an adaptive learning environment.

You will work on applied research projects, including the GUARD project, funded by Ireland’s Disruptive Technology Innovation Fund. This will involve ingestion of datasets from maritime surveillance UAVs and their operators in order to predict & improve performance.

The ideal candidate should have substantial knowledge of ML frameworks, algorithms and data science practices to help the data team create ML products and build new solutions to existing ones. Be able to conduct research and bring new insights to enable the company to meet the customer’s needs.

Your Responsibilities

● Work with cross functional colleagues and stakeholders to understand customer problems, major challenges, and formulate the problems into appropriate ML frameworks

● Assist the data science team in building ML products that can be commercialised and scaled

● Conduct research in the field of ML to build new solutions and improve the accuracy of existing ones, enabling the company to meet the customer’s needs.

● Collaborate with peers and cross-team scientists & engineers to develop ML products/services

● Assist in creating visualisations and reports for assessing the effectiveness of the ML products/services

● Help on the improvement of our products data visualisation keeping in mind the end user experience

Candidate Requirements

● Degree in ML, Statistics, Computer Science, Mathematics, or any Quantitative field

● Knowledge in building mid-large-scale machine learning solutions

● Prior experience/knowledge with data visualisation

● Experience of developing predictive analytics solutions

● Prior work experience as an applied scientist or a data scientist is a plus

● Familiarity with working with time series data from sensors would be a plus

● Ability to collaborate and work well as part of a results-oriented, remote team.

● Be able to demonstrate initiative, determination, high quality output and excellent communication skills

● An interest in gaming and simulation would be a bonus

What We Offer

● Health – including flexible office hours, remote working and team focus

● Wealth – including share options and pension contributions

● Growth – investment in and time for your personal and professional development including two quiet mornings per week (no communication unless you want it)

● Sustainability – this runs through all that we do from looking at sustainable ways of working and how we create and manage data, to the projects we work on

● Flexibility – including working hours that suit you, if that also meets the needs of the team and remote/hybrid working

● Awesome, memorable and challenging work that makes a difference to the lives of end users

● Competitive salary depending on your experience