At a Glance
- Tasks: Lead project teams to deliver bespoke algorithms and mentor junior data scientists.
- Company: Join Faculty, a leader in human-centric AI consultancy with over 350 global clients.
- Benefits: Enjoy a diverse team, professional growth opportunities, and the chance to work on impactful projects.
- Other info: Opportunities to teach and present at conferences while shaping the future of AI.
- Why this job: Be part of a dynamic culture, learn from experts, and contribute to cutting-edge AI solutions.
- Qualifications: Senior experience in data science, strong Python skills, and leadership mindset required.
The predicted salary is between 48000 - 72000 £ per year.
Why 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. You can read about our real‑world impact here.
We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.
Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.
AI is an epoch‑defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen.
About the team
Our Defence team is focused on building and embedding human‑centered AI solutions which give our nation a competitive edge in the defence sector. We collaborate with our clients to bring ethical, reliable and cutting‑edge AI to high‑stakes situations and maintain the balance of global powers essential to our liberty.
Because of the nature of the work we do with our Defence clients, you will need to be eligible for UK Security Clearance (SC) and willing to work up to three 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 the role:
As a Senior Data Scientist, you will lead high‑impact AI projects and shape the technical direction of bespoke solutions. This role requires hands‑on technical excellence combined with crucial team leadership.
You will define data science approaches, design robust software architectures, mentor junior colleagues, and ensure delivery rigor across projects all while building deep client relationships and solidifying our reputation as a leader in practical, measurable AI.
What you'll be doing:
Mapping the end‑to‑end data science approach and designing the associated software Leading project teams that deliver bespoke algorithms and high‑stakes AI solutions to clients across the sector.
Conceiving the core data science approach and designing the associated robust software architecture for new engagements.
Mentoring a small number of data scientists and supporting the professional growth of technical team members on projects.
Partnering with commercial teams to build client relationships and shape project scope for technical feasibility.
Contributing to Faculty’s thought leadership and reputation through delivering courses, public speaking, or open‑source projects.
Ensuring best practices are followed throughout the project lifecycle to guarantee high‑quality, impactful delivery.
Who we're looking for:
You possess senior experience in a professional data science position or a quantitative academic field.
You demonstrate strong programming skills, with the ability to be a fluent Python programmer, using core libraries (NumPy, Pandas) and a deep‑learning framework (e.g., PyTorch).
You have a deep expertise in core data science paradigms (supervised/unsupervised, NLP, validation), demonstrating a proficiency across the standard data science toolkit, including the ability to develop new, innovative algorithms.
You bring a leadership mindset, focused on growing the technical capabilities of the team and nurturing a collaborative culture.
You exhibit commercial awareness, with experience in client‑facing work and the ability to translate business problems into a rigorous mathematical framework.
You are skilled in project planning, assessing technical feasibility, estimating delivery timelines, and leading a team to deliver high‑quality work on a strict schedule.
The Interview Process
Talent Team Screen (30 minutes)
Take Home Technical Test
Technical Interview (90 minutes)
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.
Some of our standout benefits:
Unlimited Annual Leave Policy
Private healthcare and dental
Enhanced parental leave
Family‑Friendly Flexibility & Flexible working
Sanctus Coaching
Hybrid Working (2 days in our Old Street office, London)
If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please do apply or reach out to our Talent Acquisition team for a confidential chat - Please know we are open to conversations about part‑time roles or condensed hours.
#J-18808-LjbffrSenior Data Scientist in London employer: Faculty
At Faculty, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters intellectual curiosity and collaboration. As a Senior Data Scientist, you'll not only lead innovative projects but also mentor emerging talent, ensuring your professional growth alongside the team. With opportunities to engage with high-profile clients and contribute to cutting-edge AI solutions, Faculty is the ideal place for those seeking meaningful and rewarding employment in a dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist in London
✨Tip Number 1
Familiarise yourself with Faculty's core values and mission. Understanding their focus on human-centric AI and organisational performance will help you align your experiences and skills with what they value most in a Senior Data Scientist.
✨Tip Number 2
Network with current or former employees of Faculty, especially those in data science roles. Engaging in conversations about their experiences can provide insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Stay updated on the latest trends and advancements in applied AI and data science. Being able to discuss recent developments or case studies during your interactions with Faculty will demonstrate your passion and commitment to the field.
✨Tip Number 4
Prepare to showcase your leadership skills and mentoring experience. Since the role involves guiding other data scientists, think of specific examples where you've successfully led a team or supported the professional growth of others.
We think you need these skills to ace Senior Data Scientist in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in data science and showcases your strong Python programming skills. Include specific projects where you've used libraries like NumPy, Pandas, and Scikit-Learn.
Craft a Compelling Cover Letter:In your cover letter, express your passion for AI and how your leadership mindset aligns with Faculty's values. Mention your experience in client-facing roles and your ability to convert business problems into mathematical frameworks.
Showcase Your Technical Skills:Clearly outline your proficiency in data science techniques and tools. Highlight any experience with deep learning frameworks like TensorFlow or PyTorch, and provide examples of how you've applied these skills in previous roles.
Demonstrate Your Mentorship Experience:If you have experience mentoring other data scientists, be sure to include this in your application. Discuss how you've supported their professional growth and contributed to a collaborative team culture.
How to prepare for a job interview at Faculty
✨Showcase Your Technical Skills
As a Senior Data Scientist, you'll need to demonstrate your strong Python programming skills and familiarity with data science libraries. Be prepared to discuss specific projects where you've used tools like NumPy, Pandas, or TensorFlow, and how you approached problem-solving in those scenarios.
✨Emphasise Leadership Experience
Highlight your experience in leading teams and mentoring junior data scientists. Faculty values a leadership mindset, so share examples of how you've nurtured a collaborative culture and supported the professional growth of others in your previous roles.
✨Understand the Business Context
Demonstrate your ability to convert business problems into mathematical frameworks. Be ready to discuss how you've assessed the commercial value of projects and your experience in client-facing roles, as this will be crucial for building strong relationships with Faculty's clients.
✨Prepare for Technical Discussions
Expect to engage in technical discussions about data science techniques and methodologies. Brush up on topics like supervised/unsupervised learning, Bayesian inference, and model evaluation, as well as be ready to explain your thought process when designing software architecture for data science projects.
