Senior Data Scientist

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 aSenior 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. One day you might be talking to customers to help understand their problems and scope out future projects, the next writing literature reviews on novel AI approaches, and the next undertaking complex technical data science work and project delivery.

We are not looking for one single set of skills, but individuals with a good depth of experience across AI, machine learning and statistics, along with a good understanding of how to apply these within a business, along with how to communicate complex concepts to non-technical individuals, scope out projects, and deliver high-quality, scientifically-justified solutions to customers.

This is an exciting time to join our team to help pioneer both our customer's and our own AI adoption journey. Not only will you be directly making a huge impact through the solutions you develop, you'll be doing it for an organisation who makes a huge impact to the security of the UK.

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 (including software engineers, leadership, non-technical consultants) and presenting to wider communities via blogs, events and conferences.

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

• 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. These groups cover everything from gender diversity to mental health and wellbeing.

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.

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., 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., 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.