Senior Research Scientist: Data Science and Machine Learning
Senior Research Scientist: Data Science and Machine Learning

Senior Research Scientist: Data Science and Machine Learning

Chelmsford Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead innovative AI/ML research and develop cutting-edge algorithms for diverse applications.
  • Company: Join BAE Systems, a leader in cyber defence and digital intelligence.
  • Benefits: Enjoy hybrid working, competitive salary, and a £5,000 referral bonus.
  • Why this job: Make a real impact in a collaborative environment with diverse teams.
  • Qualifications: PhD or equivalent experience in AI/ML, strong Python skills, and proven research expertise.
  • Other info: Inclusive culture that values diversity and offers excellent career growth opportunities.

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

Overview

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 Title: Senior Research Scientist

Requisition ID: 121740

Location: Great Baddow – Hybrid working 2 days onsite per week

Grade: GG11

Referral Bonus: £5,000

BAE Systems Digital Intelligence Innovation and Technology is seeking to recruit a senior researcher to join our rapidly expanding Data and Decision Support Capability.

You should have a solid background in Machine Learning (ML) and/or statistical signal processing combined with excellent programming skills in Python and extensive experience in the use of libraries and toolboxes to support efficient development.

The right candidate will join our Advanced Information Processing (AIP) group, specialising in developing novel inference algorithms and the application of AI/ML to sequential (time-series) data and decision making.

The candidate will have the opportunity to deliver a wide range of AI/ML research topics for customers across the space, defence, security and commercial sectors as well as into our internal BAE Systems programmes. You will also have the opportunity to maintain strong links with Academic partners and to grow technical research areas of interest to you.

The Data and Decision Support Capability has a diverse range of teams/groups working across various AI/ML areas such as AI/ML for RF, EW, radar, sonar, distributed sensing-processing, data fusion, reinforcement learning, agent-based ML, autonomy, ML for signal processing, edge ML, image analysis and computer vision, generative AI, deep fake, LLMs, knowledge graphs, NLP, graph ML and others. You will have the opportunity to work with these colleagues in multi-disciplinary teams.

Typical Responsibilities:

  • Lead technical delivery of projects, leading junior researchers. Prepare and deliver technical reports, technical proposals and supporting material
  • Lead novel research in given topic areas; this can be in partnership with other (internal or external) suppliers and/or leading UK Universities
  • Develop prototypes and proof of concept demonstrators
  • Take ownership of tasks in projects and deliver to challenging standards
  • Work effectively both on self-directed projects and as part of a project team
  • Effectively present results to both technical and non-technical audiences
  • Undertake mentoring of junior staff working on similar research topics
  • Patent and/or publish novel concepts and research findings, where appropriate

Essential Knowledge, Skills and Experience:

  • PhD or equivalent industry experience in a relevant discipline
  • Several years of expertise in the application of AI/ML and/or statistical signal processing to sequential (e.g. sensor time-series) data and decision-making post PhD
  • Experience in software development for proof of concept in Python
  • Experience with machine and deep learning frameworks: TensorFlow, PyTorch, scikit-learn, etc.

Of particular interest are candidates with experience in one or more of the following domains:

  • RF communications and CEMA
  • Electronic or Electromagnetic Warfare (EW)
  • Tracking and sensor data fusion
  • Radar signal processing
  • Acoustic data processing (including sonar)
  • Distributed sensing and processing
  • Autonomy
  • Human machine teaming
  • Space-domain Awareness (SDA)
  • Positioning, navigation, and timing
  • Pattern of life analytics

Why BAE Systems?

This is a place where you’ll be able to make a real difference. You’ll be part of an inclusive culture that values diversity of thought, rewards integrity, and merit, and where you’ll be empowered to fulfil your potential. We welcome people from all backgrounds and want to make sure that our recruitment processes are as inclusive as possible. If you have a disability or health condition (for example dyslexia, autism, an anxiety disorder etc.) that may affect your performance in certain assessment types, please speak to your recruiter about potential reasonable adjustments.

Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow for meaningful security vetting checks.

Division overview: Capabilities

At BAE Systems Digital Intelligence, we pride ourselves in being a leader in the cyber defence industry, and Capabilities is the engine that keeps the business moving forward. It is the largest area of Digital Intelligence, containing our Engineering, Consulting and Project Management teams that design and implement the defence solutions and digital transformation projects that make us a globally recognised brand in both the public and private sector.

As a member of the Capabilities team, you will be creating and managing the solutions that earn us our place in an ever changing digital world. We all have a role to play in defending our clients, and this is yours.

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Senior Research Scientist: Data Science and Machine Learning employer: BAE Systems (New)

BAE Systems Digital Intelligence is an exceptional employer, offering a dynamic work environment in Great Baddow where innovation thrives. With a strong emphasis on employee growth, you will have the opportunity to lead cutting-edge research in AI and machine learning while collaborating with diverse teams and academic partners. Our inclusive culture values diversity of thought and empowers you to make a meaningful impact in the cyber defence industry.
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Contact Detail:

BAE Systems (New) Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Research Scientist: Data Science and Machine Learning

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with BAE Systems employees on LinkedIn. A personal connection can make all the difference when it comes to landing that interview.

✨Tip Number 2

Show off your skills! Prepare a portfolio or GitHub repository showcasing your projects in AI/ML and Python. This gives you a chance to demonstrate your expertise beyond just words on a CV.

✨Tip Number 3

Practice makes perfect! Get ready for technical interviews by brushing up on your ML algorithms and coding skills. Use platforms like LeetCode or HackerRank to sharpen your problem-solving abilities.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, you’ll be part of a community that values innovation and collaboration in the tech space.

We think you need these skills to ace Senior Research Scientist: Data Science and Machine Learning

Machine Learning (ML)
Statistical Signal Processing
Python Programming
TensorFlow
PyTorch
scikit-learn
Data Fusion
Reinforcement Learning
Computer Vision
Natural Language Processing (NLP)
Prototype Development
Technical Report Writing
Mentoring
Collaboration in Multi-disciplinary Teams

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Senior Research Scientist role. Highlight your experience in AI/ML and Python programming, and don’t forget to mention any relevant projects or research that align with our needs.

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about this role and how your background makes you a perfect fit for our team at BAE Systems. Be specific about your skills and experiences.

Showcase Your Projects: If you've worked on any interesting projects, especially those involving machine learning or data science, make sure to include them. We love seeing real-world applications of your skills, so don’t hold back!

Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s straightforward and ensures your application goes directly to us. Plus, you’ll find all the details you need there!

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

✨Know Your Stuff

Make sure you brush up on your knowledge of machine learning and statistical signal processing. Be ready to discuss specific algorithms you've worked with and how they apply to sequential data. This is your chance to showcase your expertise, so don’t hold back!

✨Showcase Your Coding Skills

Since programming in Python is essential for this role, be prepared to demonstrate your coding abilities. You might be asked to solve a problem on the spot or discuss your experience with libraries like TensorFlow or PyTorch. Practise coding challenges beforehand to boost your confidence.

✨Prepare for Technical Questions

Expect technical questions that dive deep into your past projects and research. Think about how you can explain complex concepts in simple terms, as you'll need to present results to both technical and non-technical audiences. Practise explaining your work to friends or family who aren’t in the field.

✨Be Ready to Collaborate

This role involves working in multi-disciplinary teams, so be prepared to discuss your experience collaborating with others. Share examples of how you've led projects or mentored junior staff, and highlight your ability to work effectively both independently and as part of a team.

Senior Research Scientist: Data Science and Machine Learning
BAE Systems (New)
Location: Chelmsford

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