Are you an experienced Data Scientist looking for a new role where you will grow a varied portfolio of projects and shape the Data Science strategy and vision for an evolving and dynamic organisation?
You must have high level clearance.
Due to the success of a number of strategic Gloucestershire based programmes, we are growing our Data Science team with creative and ambitious Data Scientists and Machine Learning Engineers. With a primary focus on applying data science and machine learning to deliver digital transformation for our customers, your experience will cover different machine learning and data science technologies within an agile environment.
Different thinking for a Different world
Northrop Grumman is a leading global security company providing innovative systems, products and solutions to government and commercial customers worldwide. In Northrop Grumman’s rapidly growing UK Cyber and Intelligence business, we support our customers’ work to make the UK the safest place to live and do business, both physically and online.
Working with and alongside our customers, we use modern software engineering methods (Scaled Agile Development, Dev Sec Ops, Site Reliability Engineering, micro-service architectures) and cutting edge techniques (data science, Artificial Intelligence, Machine Learning) to tackle complex and challenging problems and deliver cost effective, reliable, supportable solutions.
Our solutions support complex analysis of substantial amounts of data, requiring state of the art ‘big data’, stream processing and cloud-based analytics, identifying and using ‘best of breed’ commercial and open source technologies and integrating them with our own software to meet customer needs quickly and efficiently.
At Northrop Grumman we pride ourselves on our ability to combine agile development with sound engineering and security practices to ensure that our solutions are robust and resilient; designed and built to start secure and stay secure against ever evolving cyber security threats. As well as designing for security, Information Assurance and legal / policy compliance, we actively assess products and services, identifying vulnerabilities and weaknesses that could be exploited by cyber attackers, and we create and run exercises to pit cyber security specialists against secure systems and each other.
We carry out research and innovation locally in the UK, with commercial and academic partners, and across our 85,000+ worldwide workforce.
How you will make a difference
For us, innovation is key and we have immediate opportunities for talented data scientists to join our team. We want you to help us apply data science and machine learning to transform the way our customers do business. We want to apply the latest developments in data science and machine learning, and to take technical risks – if the potential payoff is transformative. We are in a phase of rapid growth and there are opportunities to develop your career with us to meet your aspirations.
You will be helping us to solve our customer’s problems within an agile team. You will have opportunities across a range of data science and machine learning projects: from R&D to large-scale production deployment; from forecasting and decision trees to the latest developments in deep learning.
As a Principal Data Scientist you will have had responsibility for the design and delivery of data science and machine learning projects; supporting business development; leading teams, line managing and mentoring colleagues; and working with customers.
Key criteria required...
A deep technical background in machine learning and data science
Experience of developing and delivering data science strategy
Experience of growing, developing and leading a data science team
Experience of leading and growing a portfolio of data science projects
Experience of technically leading the design and delivery of data science and machine learning solutions that transform ways of working and deliver measurable benefit
Experience of taking a project from an initial concept through to deployment in a production system
Experience of supporting business development through contributions to customer proposals and R&D projects
Experience of being a technical authority for data science and machine learning, and primary customer point of contact
Experience of championing innovation in a data science team and ensuring they remain at the leading edge of the application of data science and machine learning
Experience of using open source machine learning algorithms
Experience of modern software engineering practices, such as SCRUM/Agile, micro-services and containerisation (including Docker and Kubernetes) etc.
an MSc or PhD in a numeric field (Mathematics, Statistics, Computing, …)
Also, we’d love it if you have experience of...
influencing customer thinking in machine learning and thought leadership
delivering solutions based on deep learning
delivering solutions based on NLP
deploying machine learning to Cloud platforms (e.g. AWS, Azure)
- data engineering
You will enjoy a growing career as we work collaboratively to innovate the world of data science and machine learning.
Additional information for your consideration...
You must be able to hold UK Government clearances
Opportunities exist across the UK to enhance your career progression
Being a part of Northrop Grumman gives you the opportunity to use your skills to make a difference in our mission of enabling global security. Our company grows because of our employees' dedication and commitment to achieving our mission, something we always remember. In return for working for us you will have access to a benefits package that provides you with flexibility to balance your professional career with your personal life, health & well-being benefits, discount schemes, pension benefits and investment in your future development.
We are committed to equality and diversity in our workplace. Northrop Grumman provides equal employment opportunities to all employees and applicants without regard to an individual’s protected status, including race, ethnic origin, colour, nationality, national origin, ancestry, sex/gender, gender identity/expression, gender reassignment, sexual orientation, marriage/civil partnership, pregnancy/maternity, religion or belief, creed, age, disability, genetic information, or any other protected status or characteristic.
Looking for flexibility? Talk to us at the application stage about what may be possible.