NSL – Data Scientist

NSL – Data Scientist

Full-Time 43200 - 72000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Join our team to tackle exciting AI and machine learning challenges in national security.
  • Company: BAE Systems Digital Intelligence, a leader in digital, cyber, and intelligence solutions.
  • Benefits: Flexible working hours, 25 days holiday, competitive pension, and career development support.
  • Why this job: Make a real-world impact while working with cutting-edge technology in a collaborative environment.
  • Qualifications: Experience in AI, machine learning, and data science; strong communication skills are essential.
  • Other info: Join a diverse team dedicated to innovation and excellence in national security.

The predicted salary is between 43200 - 72000 £ per year.

Location(s): UK, Europe & Africa: UK: London

BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments.

Job Description

Are you passionate about cutting‑edge AI and machine learning in digital services, and want to deliver positive real‑world value to the UK? We are looking for a Senior Data Scientist to join our team and help solve a variety of interesting problems in the National Security space. At BAE Systems Digital Intelligence, we work with a wide range of government customers, across defence, space, and government. In our national security AI team, we undertake a variety of projects covering exploratory research into AI methods and approaches, bespoke solutions to complex customer problems, and infrastructure projects working across large customer datasets.

This will be a varied role, where you will have the opportunity to work with a range of interesting technical and non‑technical customers, a wide range of data types and methods (across text, images, audio, video, graphs, geo‑location), and the opportunity to deliver real value, helping to solve complex challenges and keep the UK safe.

Core duties:

  • Being a key technical point‑of‑contact for AI and data science expertise, sharing knowledge across meetings, bids and technical projects.
  • Leading and working on technical AI projects, working with ML engineers, project managers and non‑technical customers.
  • Meeting with users to help scope out ongoing and future AI projects, understanding use‑cases and planning out delivery plans which capture the subtleties of the requirements.
  • Working alongside ML engineers to help build and deploy models into products across our AWS cloud services.
  • Assisting with writing bid responses to customer problems, often requiring diving into the literature surrounding complex technical concepts in AI, ML and statistics.
  • Presenting results of technical work both internally and to our customers.
  • Helping mentor and manage junior team members and graduates across the business.
  • Helping to educate others across the business in AI and related methods through collaborative work and presenting to wider communities via blogs, events and conferences.

About you

You will have experience in many of the following:

  • BSc (or MSc / PhD) in a quantitative, scientific discipline (e.g. maths, physics, computer science or similar).
  • Expert knowledge of AI, ML and statistical methods, and their application across some of the following domains (e.g. NLP, images, audio, graphs, time series, tabular data).
  • Several years’ experience working as a data scientist in industry or similar environment.
  • Good knowledge of python, along with common machine learning and data analysis libraries (e.g. pandas, numpy, scikit‑learn, pytorch, transformers, statsmodels, pymc).
  • Ability to absorb complex new scientific concepts and quickly get up to speed on new areas of the literature.
  • Good understanding of software and ML engineering best‑practices (e.g. git, package development, model deployment).
  • Ability to present complex technical concepts to both technical and non‑technical colleagues.
  • Passion for good quality scientific work and a focus on truthfulness, robustness and customer/stakeholder requirements.
  • Experience with utilising cloud services (e.g. AWS) for training and deploying models.
  • Understanding of the ethical, privacy, security and policy concerns relevant to the application of AI/ML.

It would be great if you also had experience in some of these, but if not we’ll help you with them:

  • Good knowledge of AWS cloud services (e.g. Lambda, ECS, Bedrock, S3, Sagemaker)
  • ML Engineering and MLOps knowledge (e.g. Docker, ML flow)
  • Experience working with government or other carefully regulated industries
  • Track record of applying LLMs to robustly solve real problems

Security Clearance is required for this vacancy. If you are not currently Security Cleared, you will need to be eligible for this and willing to go through the process.

How we will support you

Work‑life balance is important; you can work around core hours with flexible and part‑time working. You’ll get 25 days holiday a year and the option to buy/sell and carry over from the year before. Our flexible benefits package includes a competitive pension scheme, cycle to work scheme, taste cards and more. You’ll have a dedicated Career Manager to help you develop your career and guide you on your journey through BAE. You’ll be part of our company bonus scheme. You are welcome to join any/all of our Diversity and Support groups.

About our team

Our people are what differentiates us, they are resourceful, innovative and dedicated. We have a mix of generalists and specialists and recognise that this diversity contributes to our success. We recognise the benefits of forming teams from a mix of disciplines, which allows us to come up with cutting edge, high quality solutions. Our breadth of work across the Public Sector provides diverse opportunities for our people to develop their careers in new areas of expertise and with new clients.

You’ll be part of a big company, but we try to create a culture that feels like a small one. The work will stretch you and be challenging, but we encourage a healthy work‑life balance. Most of all, we know teams who work well together also perform well. We’ll do everything we can to ensure you have fun at work, and in social activities outside of it whether that’s virtually or in person, as conditions allow.

You will be joining our National Security business which is the largest area within our UK business. Our mission is to be the most trusted partner for our National Security clients in delivery of their core mission. At the end of 2020 we had over 700 employees working across our security and law enforcement customers. This year, we are looking to build on our success and grow even further by recruiting over 100 new members to our team. We have a rich history of working within National Security. In fact, we have over 40 years’ experience of delivering advice and solutions to our customers in this sector, supporting them in carrying out their vital missions.

More about BAE Systems

You will work for a division of BAE Systems who helps nations, governments and businesses around the world defend themselves against cyber crime, reduce their risk in the connected world, comply with regulation, and transform their operations. We’re a consultancy and products business and employ smart, motivated individuals who work together across a range of projects and products. You’ll get to work on a variety of different systems for different customers throughout your career with us. We’re passionate about Diversity and Inclusion in our workforce and the people you’ll work with will reflect this. We employ over 4,000 people across 18 countries in the Americas, APAC, UK and EMEA.

Help us secure a connected world. Apply now and be inspired.

Life at BAE Systems Digital Intelligence

We are embracing Hybrid Working. This means you and your colleagues may be working in different locations, such as from home, another BAE Systems office or client site, some or all of the time, and work might be going on at different times of the day. By embracing technology, we can interact, collaborate and create together, even when we’re working remotely from one another. Hybrid Working allows for increased flexibility in when and where we work, helping us to balance our work and personal life more effectively, and enhance well‑being. Diversity and inclusion are integral to the success of BAE Systems Digital Intelligence. We are proud to have an organisational culture where employees with varying perspectives, skills, life experiences and backgrounds – the best and brightest minds – can work together to achieve excellence and realise individual and organisational potential.

NSL – Data Scientist employer: BAE Systems (New)

BAE Systems Digital Intelligence is an exceptional employer, offering a dynamic work environment in London that fosters innovation and collaboration among a diverse team of experts. With a strong commitment to employee growth, you will benefit from flexible working arrangements, a comprehensive benefits package, and dedicated career management support, all while contributing to meaningful projects that enhance national security. Join us to make a real impact in the field of AI and machine learning, surrounded by a culture that values work-life balance and inclusivity.
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Contact Detail:

BAE Systems (New) Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land NSL – Data Scientist

Tip Number 1

Network like a pro! Reach out to current employees at BAE Systems through LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing a role in the National Security space.

Tip Number 2

Prepare for those interviews! Brush up on your AI and machine learning knowledge, and be ready to discuss how you've applied these skills in real-world scenarios. Practice explaining complex concepts in simple terms, as you'll need to communicate with both technical and non-technical folks.

Tip Number 3

Show your passion for the mission! When you get the chance to chat with interviewers, express your enthusiasm for contributing to national security and how your skills can help solve complex challenges. They want to see that you're not just in it for the job, but for the impact you can make.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team at BAE Systems Digital Intelligence.

We think you need these skills to ace NSL – Data Scientist

AI Expertise
Machine Learning
Statistical Methods
Natural Language Processing (NLP)
Data Analysis
Python Programming
Pandas
NumPy
Scikit-learn
PyTorch
Transformers
Model Deployment
AWS Cloud Services
Communication Skills
Project Scoping

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with AI, machine learning, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can contribute to our mission at BAE Systems. Keep it engaging and personal – we love to see your personality come through.

Showcase Your Technical Skills: Don’t forget to mention your technical skills, especially in Python and machine learning libraries. We’re keen on seeing how you’ve applied these in real-world scenarios, so share specific examples that demonstrate your expertise.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!

How to prepare for a job interview at BAE Systems (New)

Know Your AI and ML Stuff

Make sure you brush up on your knowledge of AI, machine learning, and statistical methods. Be ready to discuss how you've applied these in real-world scenarios, especially in areas like NLP or image processing. The interviewers will want to see that you can not only understand complex concepts but also communicate them effectively.

Showcase Your Problem-Solving Skills

Prepare to talk about specific projects where you've tackled complex problems. Think about the challenges you faced, the solutions you implemented, and the impact of your work. This is your chance to demonstrate your analytical thinking and how you can deliver real value to customers.

Get Familiar with Their Tech Stack

Since BAE Systems works with AWS and various machine learning libraries, make sure you're comfortable discussing these technologies. If you have experience with tools like Docker or MLOps, be ready to share how you've used them in past projects. This shows you're not just a theorist but someone who can get hands-on.

Practice Your Communication Skills

You'll need to explain complex technical concepts to non-technical stakeholders, so practice simplifying your language. Consider doing mock interviews with friends or colleagues where you explain your work in layman's terms. This will help you feel more confident when it comes time to present your ideas during the actual interview.

NSL – Data Scientist
BAE Systems (New)
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