Principal Data Scientist

Northrup Grumman RPO
London
1 year ago
Applications closed

Related Jobs

View all jobs

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist: Scale ML for Audiences (Hybrid)

Principal Data Scientist & Machine Learning Researcher

Principal Data Scientist London, United Kingdom

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?

Salary: 64,600.00 - 96,800.00

Opportunity:

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

The role is for an experienced data scientist who is a recognised 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.

Our UK Cyber & Intelligence business combines modern software development approaches with a rich heritage and experience in the Defence and security sectors. Our customers have complex and sensitive data and information requirements requiring a mission partner who quickly understands the context, delivering and sustaining a portfolio of challenging technology projects at scale and pace, supporting them through an ambitious digital transformation programme.

Responsibilities:

Plan and execute complex data science requirements across a portfolio of projects, including identification of risks, dependencies and mitigation strategies - makes decisions that impact the achievement of own organisation's objectives and financial performance
Provide technical leadership for multiple teams of data scientists, to ensure projects are delivered on schedule and to quality, and manage any changes to data science work packages
Act as a formal customer point of contact and maintain strong, influential relationships with key senior stakeholders, internally, in the customer organisation and with industry leaders, supported by an excellent working knowledge of the customer domain and the ability to communicate technical and non-technical information effectively at all levels
Broker new relationships within the customer organisation, and reach back into Northrop Grumman and its partners to provide added value to the customer through deduplication of effort and access to unique expertise
Contribute subject matter expertise into bids, proposals and studies, and growing a portfolio of projects, using customer knowledge to ensure proposals meet their needs
Benefits:

We can offer you a range of flexible and hybrid working options to suit you, including optional compressed working schedule with every other Friday off. Our benefits including private health care, career development opportunities and performance bonuses. For a comprehensive list of benefits, speak to our recruitment team.

We are looking for:

Champion innovation and best practice, and apply emerging theory to our customers' missions, to ensure Northrop Grumman remains at the leading edge of the application of data science and machine learning
Communicate with senior (internal and customer) stakeholders and convince them of the business benefits of data science and machine learning aligned with wider organisational objectives
Exhibit a breadth of understanding across data science and machine learning and be able to help other data scientists apply this to a range of customer problems, and have deeper expertise in a number of areas of data science and machine learning
Be able to work with data engineers and customers to map, produce, transform and test data feeds that support the application of data science and machine learning solutions
Be able to design, code, test, correct and document moderate-to-complex programs and scripts to agreed specifications and review the code of other data scientists
Experienced in geographical information systems and in predictive and prescriptive analysis of geographical data would be a bonus
Security clearance:

You must already hold the highest level of UK Government security clearance. Our requirement team is on hand to answer any questions and we will guide you through the process: .

Why join us?

A mission to believe in - Every day we contribute to building a more secure and connected world, expanding our reach from land, sea, and air to space and cyberspace. From engineering data and intelligence solutions, to developing maritime navigation and control systems and innovating command and control systems for the UK and NATO, what we do together matters.
A place to belong and thrive - Every voice matters at our table meaning you can bring your authentic self to work. From our Employee Resource Groups backed by thousands of employees, to sponsoring Cheltenham Pride and our partnerships with Association For Black and Minority Ethnic Engineers, Forces Transition Group, Mind, and Women in Defence - we are passionate about growing and supporting our inclusive community where everyone can belong.
Your career, your way - Shape your career journey with diverse roles, mentorship, and development opportunities that fuel your curiosity, channel your expertise and nurture your passion. Looking for flexibility? Balance your professional career with your personal life, health and wellbeing benefits, discount schemes, pension benefits and investment in your future development. Speak to our team to find the balance that's right for you.
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 and support: .

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. Speak to our team to discuss your career goals.Y2xhdWRpYS5jaW5kZXNjdS43MzY5My4xMjI3MUBub3J0aHJ1cG1hbi5hcGxpdHJhay5jb20.gif

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.

Machine Learning Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Are you considering a career change into machine learning in your 30s, 40s or 50s? You’re not alone. In the UK, organisations across industries such as finance, healthcare, retail, government & technology are investing in machine learning to improve decisions, automate processes & unlock new insights. But with all the hype, it can be hard to tell which roles are real job opportunities and which are just buzzwords. This article gives you a practical, UK-focused reality check: which machine learning roles truly exist, what skills employers really hire for, how long retraining realistically takes, how to position your experience and whether age matters in your favour or not. Whether you come from analytics, engineering, operations, research, compliance or business strategy, there is a credible route into machine learning if you approach it strategically.

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.