NSL – Data Scientist in London

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.

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:

• 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.

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 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.

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.

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 can work together to achieve excellence and realise individual and organisational potential.