United Kingdom Hybrid Full-time

Faculty is hiring a Data Scientist

Responsibilities

  • Mapping the end-to-end data science approach and designing the associated software architecture for projects
  • Driving the technical scoping and feasibility assessment of new projects
  • Building strong client relationships by acting as a technical advisor and shaping the direction of current and future engagements
  • Delivering bespoke algorithms and scalable software solutions that adhere to best practices for high-stakes decision-making
  • Setting the technical bar for the project team, ensuring the highest standards of code, rigour, and delivery quality (IC leadership)
  • Contributing to Faculty's thought leadership and reputation through teaching, public speaking, or open-source projects

Requirements

  • You have proven experience in a professional data science or quantitative academic role, underpinned by high mathematical and statistical competence.
  • You are a strong Python programmer, proficient in essential libraries (NumPy, Pandas) and a deep-learning framework (TensorFlow/PyTorch).
  • You possess a solid grasp of core data science techniques (supervised/unsupervised learning, time-series, NLP, model validation) and the ability to innovate new algorithms.
  • You apply a rigorous scientific and entrepreneurial mindset, translating complex business problems into a mathematical framework and measuring model impact upon deployment.
  • You are an exceptional communicator, adept at translating complex technical solutions into persuasive, actionable insights for senior and non-technical audiences.
  • You contribute to team success by project planning, assessing technical feasibility, estimating delivery timelines, and achieving measurable outcomes.

Benefits

  • Unlimited Annual Leave Policy
  • Private healthcare and dental
  • Enhanced parental leave
  • Family-Friendly Flexibility & Flexible working
  • Sanctus Coaching
  • Hybrid Working

Work Arrangement

Hybrid — UK

Our Interview Process

1. Talent Team Screen (30 minutes) 2. Take Home Technical Assessment 3. Technical Interview (90 minutes) 4. Commercial Interview (60 minutes)

Our Recruitment Ethos

We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.

Additional Information

  • You will need to be eligible for UK Security Clearance (SC)
  • Willing to work between 2 to 4 days per week on-site with these customers which may require travel to locations throughout the UK
  • When not required on client sites, you’ll have the flexibility to work from our London office or remotely from elsewhere within the UK
About company
Faculty
We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI.
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Job Details
Department Defence
Category Data & ML
Posted 2 months ago