Operational Solutions Limited (OSL) is a fast-growing technology company providing a range of services and systems to commercial airport, critical national infrastructure, and defence markets. Our areas of expertise are drone detection and counter-drone (CUAS) systems, unmanned traffic management (UTM), synthetic environments, managed services, consultancy, and drone operations.

The company is enjoying a period of significant growth, most recently as a result of securing a lead position on Innovate UK’s Future Flight Phase 3 programme. Project HADO® is a 24-month programme commencing 1 August 2022 which will demonstrate the commercial benefit of autonomous beyond visual line of sight (BVLOS) UAS operations within a high intensity controlled airspace environment. It will also inform future autonomous BVLOS regulations by providing evidenced recommendations to regulators about the technology adoption required to achieve this cost effectively.

Role

An exciting opportunity has arisen for a Data Scientist to join the growing engineering development team, working with leading edge technologies including Sensors, RF and Kinetic Effectors, Software, Artificial Intelligence and Drones.

The successful candidate will report to the Lead Data Scientist and be responsible for conducting analysis and providing insights to support the development of prototypes and products in line with the company’s technology strategy.

This is a highly rewarding role that requires an ability to work collaboratively across a diverse team, in a dynamic and agile environment, and on a broad range of projects.

Core responsibilities

· Effective interaction with internal project teams, partners, and academia to achieve desired project outcomes.

· Use of modelling and simulation techniques to generate theoretical sensor performance predictions.

· Development of test methodologies to characterise real world sensor and system performance.

· Analysis of measured results to establish actual performance and design improvement recommendations.

· Conduct design, simulation and assessment of correlation, fusion, and rule-based logic algorithms to provide performance assessment and implementation support.

Experience

· The successful candidate will have a proven track record of conducting analysis, modelling and simulation of technologies that are relevant to security, drone and counter drone products.

Experience of programming languages such as Python and the design of machine learning models are desirable.

Standard Machine Learning models: Linear regressions, SVMs, Kernel methods, Ensembling, Boosting/Bagging

· Neural Networks knowledge is a plus: main architecture components, training techniques, well-known models

· Standard Machine Learning Python stack: pandas, numpy, skilearn, gradient boosting libraries.

· Neural network development libraries are a plus, such as tensorflow, pytorch.

· Knowledge of the theoretical basis of Machine Learning is a plus

Qualifications/Key skills and qualities

· Must hold a degree (in a relevant subject) OR have extensive demonstrable experience in a similar relevant role.

· Thrive on solving complex challenges

· Creative and innovative thinker

· Excellent communicator able to articulate complex insights simply, both visually and verbally

· Computer literate

Job Type: Full-time

Salary: £45,000.00-£50,000.00 per year

Benefits:

• On-site parking
• Work from home

Schedule:

• 8 hour shift

Supplemental pay types:

• Bonus scheme

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