Data Scientist, Faculty
Sonar Systems
More information about location
2+ days a week in office (Old Street, London)
Enabling clients to use cutting edge AI to improve the performance of their business
Job no longer available
Enabling clients to use cutting edge AI to improve the performance of their business
201-500 employees
Job no longer available
More information about location
2+ days a week in office (Old Street, London)
201-500 employees
Company mission
The safe, widespread adoption of AI.
Role
Who you are
- We are looking for candidates with deep knowledge of analysis of sonar signals and who are interested in exploring how cutting edge ML techniques can be applied
- Prior deep knowledge of AI/ML techniques is not a prerequisite as we are looking for both experienced candidates and those who want to learn
- We anticipate that with our support, you could become an expert in one of these areas even if you don’t yet have much hands-on experience
- As we are a growing business, we need people who take initiative and have a passion for solving complex problems
- Proficiency in programming languages commonly used in sonar applications, such as C/C++, Python, and MATLAB and experience with software development tools and environments, such as Visual Studio, Eclipse, and version control systems like Git
- In-depth knowledge of sonar principles, including active and passive sonar, side-scan sonar, and synthetic aperture sonar
- Proficiency in using sonar simulation and modeling tools (e.g., MATLAB, LabVIEW) and experience with sonar hardware and software, including embedded systems and real-time processing
- Practical exposure to designing, developing, testing, and troubleshooting sonar systems
- Knowledge of specific sonar applications, such as underwater navigation, marine biology, defence, and underwater archaeology
- The ability to reason mathematically and an understanding of common statistical tests and/or probability
- An interest in working alongside our customers and to learn about the commercial aspects of the job
Desirable
- Prior commercial experience, particularly if this involved customer-facing work or project management
- Research experience (PhD or Postdoc) as evidenced by academic publications and conference talks
- Working knowledge of any of following ML domains: NLP, Bayesian inference, computer vision, deep learning, causal modelling, AI safety
- Working knowledge of the standard libraries for data science (e.g. NumPy, Pandas, Scikit-Learn or equivalents in other programming languages)
- Experience creating web apps using e.g. Dash, Flask, React.js
- Familiarity with MLOps including deployment, monitoring and scalability tooling
What the job involves
- As a data scientist in our Defence BU, fundamentally your role is to help customers solve their problems using data science and AI; this involves applying a variety of techniques, ranging from simple data analysis to designing and implementing bespoke machine learning algorithms
- Your contribution won't be limited to your technical skills
- Using practical and business sense, you will help our excellent commercial team build lasting relationships with our customers, shaping the direction of both current and future projects
- Solving problems with the best data-science techniques and the scientific method
- Communicating technical content at the right level both internally and to customers
- Fostering a collaborative work environment, sharing knowledge, and bringing the best out of everyone in the team
- Seeking out innovative ways to help Faculty grow, for example, by developing shared technical and non-technical resources
Salary benchmarks
Our take
Foreseeing the AI boom as far back as 2014, Faculty was founded to ensure the technology could be implemented where it was needed most. A European leader in applied AI, Faculty helps its clients accelerate and execute their highest priorities, whether that be new drug development, bringing renewable energy online or defending against terrorist attacks. It works with organisations such as OpenAI and Anthropic to ensure their latest AI models are safe, human-led and explainable.
The PhD-heavy team has delivered long-term impact for important organisations across healthcare, communications and counter-terrorism and has published papers on AI safety alongside leading universities. As a major voice concerning the safe use of artificial intelligence, Faculty's CEO has sat on the government's AI council and was invited to the first-ever AI Safety Summit.
With 10% of the UK's science and maths PhD holders applying for Faculty's talent programme, it remains a major pioneer in the space. It's shaping how we think about and implement AI, and will continue to be a prominent figure in the sector.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 3 rounds)
Dec 2019
$10.5m
SERIES A
Oct 2019
$39.6m
SERIES A
Total funding: $52.1m
Company benefits
- Dental cover - 100% of dental fees covered, up to £500, including checkups and hygienist.
- Optical Cover - 100% of the cost of prescribed glasses and contact lenses up to £300 a year.
- Hybrid working: We believe people have needs, responsibilities and interests that require something different to a strict working day. We trust people to organise and take accountability for their own work and do our best to support their lives outside Faculty. We provide you with all you need to work from home, including a laptop, keyboard and chair.
- Unlimited holidays: We encourage each other to use this time to take a break, work on personal projects, or to spend time with their friends and family
- Fantastic private health, for you & your family - including 24/7 unlimited virtual private GP appointments and covering pre-existing medical conditions
- Access to mental health coaching with Sanctus
- Lunch weekly, and more fruit, drinks and snacks than you could ever eat (for office-based employees)
- We work hard and make sure we enjoy what we do. So we have frequent socials and informal get-togethers to help make sure you enjoy your time with us. You’ll make friends and professional connections that will last a lifetime
- Paid Maternity, Paternity, Adoption or Shared Parental Leave - we offer a progressive, gender neutral and generous parental leave policy here at Faculty. All parents are given 15 weeks leave at full pay in addition to statutory time off after 12 months of service.
Company values
- Grow the Best Team - Only hire people you’re convinced will make Faculty better. Take others’ development as seriously as your own. Build strong and collaborative teams
- Do Great Work - Master your craft. Take pride in your work, even when no one is watching. Demand the highest standards from yourself and others. Work hard, but do it sustainably
- Be Humble & Kind - Recognise that you’re always learning, and have something to learn from everyone. Always make the decision that is best for faculty, but treat people kindly as you do it
- Act with Integrity - Have the courage to maintain integrity even when it’s costly to do so. Demand this from others without hesitation
- Seek Truth - Seek the truth over winning the argument. Understand the root cause. Create an atmosphere in which the best idea succeeds, regardless of who or where it comes from.
- Maximise Impact - Care about the impact of your work. Find the thing that is most important to your customer. Design the best solution, not just what’s easiest or fashionable. Get it done fast. Make sure nothing falls through the cracks.
Company HQ
Old Street, London, UK
Articles
Leadership
Marc Warner
(CEO)Previously a Marie Curie Fellow in Physics at Harvard University, specialising in quantum sensing.
Andrew Brookes
(CTO)Previously a CTO at Hillgate and Vice President at BlackRock.
Angie Ma
(Co-Founder)Previously a Scientific Consultant at Bio Nano Consulting.
Diversity, Equity & Inclusion at Faculty
Angie Ma (Co-Founder)
- AI changes everything, and so must we to make sure our people reflect the real diversity of society. We believe that recruiting talent with diverse experiences, perspectives and backgrounds encourages people to think differently and be more creative
- We welcome difference whether it’s ethnicity, religion, age, gender, gender identity, sexual orientation or disability so please be yourself!
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