Join Faculty: Senior Data Scientist - London (Hybrid)

Faculty transforms organisational performance through safe, impactful, and human-led AI. As Europe’s leading applied AI company, we recognised its potential a decade ago. Founded in 2014 with our Fellowship programme, we transitioned academics into commercial data scientists.

Today, Faculty empowers over 300 global clients in retail, healthcare, energy, and governmental sectors with state-of-the-art software and tailored AI consultancy. Our Fellowship programme has been awarded multiple accolades. Our credibility in AI safety led OpenAI to choose us as their first technical partner, helping clients deploy advanced generative AI securely.

Our Impact

Our work delivers high-impact results: predicting NHS demand to save lives during COVID-19, optimizing green energy routes for boats, reducing marketing costs by forecasting customer behavior, and protecting children online.

AI: An Epoch-Defining Technology

AI is revolutionizing industries. Join us to help clients harness its vast benefits securely. We operate a hybrid working model, splitting time across client locations, our Old Street office, and remote work. Typically, you’ll spend up to three days per week on-site with clients and work from home for the remainder.

What You'll Be Doing

As a Senior Data Scientist in our Defence business unit, you'll lead teams delivering custom algorithms to clients in the defence and national security sectors. You'll outline data science approaches, design software architecture, and ensure best practices.

You will:

• Contribute to project codes, focusing on complex components
• Define data science solutions for real-world problems, such as early warning systems for NHS or asset measurement for Network Rail
• Help our commercial team build client relationships, shaping current and future projects
• Guide project scope definition with technical feasibility in mind
• Mentor and support the growth of other data scientists
• Contribute to our reputation by delivering client courses, speaking at major conferences, and participating in open-source projects
• Collaborate with our product team to influence AI product development

Who We're Looking For

Ideal candidates have:

• Mid to senior-level experience in professional data science or a quantitative academic field
• Strong programming skills and ability to quickly become proficient in Python
• Expertise in data science libraries (e.g., NumPy, Pandas, Scikit-Learn) and familiarity with deep-learning frameworks (e.g., TensorFlow, PyTorch, Caffe)
• High mathematical and statistical competence
• Proficiency in standard data science techniques (e.g., supervised/unsupervised learning, Bayesian inference, NLP, SQL querying)
• Leadership skills to develop team capabilities and foster a collaborative culture
• Ability to convert business problems into mathematical solutions
• Commercial experience, especially in client-facing roles or project management
• Outstanding written and verbal communication skills
• Experience leading data science teams and managing project plans

Additional Information

Company Name: Faculty

Job Title: Senior Data Scientist - London (Hybrid)