Principal Data Scientist

Northrop Grumman Corp. (AU)
London
8 months ago
Applications closed

Related Jobs

View all jobs

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist & Machine Learning Researcher

Senior Simulation Engineer (Data Science)

Requisition ID: R10182320

  • Category:Research and Sciences

  • Location:Cheltenham, Gloucestershire, United Kingdom | London, London, United Kingdom

  • Clearance Type:Highest Level of Government Clearance

  • Telecommute:Yes-May consider hybrid teleworking for this position

  • Travel Required:Yes, 10% of the Time

  • Positions Available:1

Salary: 64,600.00 - 96,800.00

Define Possible at Northrop Grumman UK

At Northrop Grumman UK, our mission is to solve the most complex challenges by shaping the technology and solutions of tomorrow. We call it Defining Possible.

This mind-set goes beyond our customer solutions; it’s the foundation for your career development and the impact we have within the community. So, what’s your possible?

Opportunity:

This is more than just a job; it’s a mission.

The role is for an experienced data scientist who is recognized both internally and by customers as a subject matter expert – with a track record of applying data science and machine learning to deliver measurable benefit for our customers’ missions – and go-to person in at least one area of data science and machine learning, demonstrating clear technical leadership and the ability to influence.

Responsibilities:

  • Plan and execute complex data science requirements across a portfolio of projects, including identification of risks, dependencies and mitigation strategies.

  • Provide technical leadership for multiple teams of data scientists, ensuring projects are delivered on schedule and to quality.

  • Act as a formal customer point of contact and maintain strong, influential relationships with key senior stakeholders.

  • Broker new relationships within the customer organisation, providing added value through deduplication of effort and access to unique expertise.

  • Contribute subject matter expertise into bids, proposals and studies, ensuring proposals meet customer needs.

Benefits:

We offer a range of flexible and hybrid working options, including optional compressed working schedules. Our benefits include private health care, career development opportunities, and performance bonuses.

We are looking for:

  • Champion innovation and best practices in data science and machine learning.

  • Communicate with senior stakeholders and demonstrate the business benefits of data science.

  • Exhibit a breadth of understanding across data science and machine learning.

  • Work with data engineers and customers to support data feeds for data science solutions.

  • Design, code, test, correct and document moderate-to-complex programs and scripts.

  • Experience in geographical information systems and predictive analysis is a bonus.

Security clearance:

You must already hold the highest level of UK Government security clearance.

Why join us?

  • A mission to believe in– We contribute to building a more secure and connected world.

  • A place to belong and thrive– Every voice matters, and we support an inclusive community.

  • Your career, your way- Shape your career journey with diverse roles and development opportunities.

Ready to apply?

Yes– Submit your application online. Your application will be reviewed by our team and we will be in touch.

Possibly, I’d like to find out more about this role– Reach out to our team for more information.

No, I don’t think this role is right for me– Our extensive UK growth means we have exciting new opportunities opening all the time.

Northrop Grumman is committed to hiring and retaining a diverse workforce, encouraging individuals from all backgrounds to apply.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.