At a Glance
- Tasks: Lead innovative AI projects and mentor the next generation of data scientists.
- Company: Join Faculty, a leader in responsible AI with a focus on real-world impact.
- Benefits: Enjoy unlimited leave, private healthcare, and flexible working options.
- Other info: Diverse team culture that values intellectual curiosity and personal growth.
- Why this job: Shape the future of AI while making a positive impact across industries.
- Qualifications: Expertise in machine learning, Python, and strong communication skills required.
The predicted salary is between 80000 - 100000 £ 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. 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: The Faculty Frontier TM product is our ambitious vision to create the first enterprise-grade platform that unifies decision intelligence with AI Agents to optimise real-world outcomes of critical processes across large-scale organisations. You will work on highly complex and consequential problems across the real economy, with particular focus on healthcare and life sciences.
About the role: As a Lead Data Scientist to define the technical future of our flagship Frontier product, you will lead project teams in designing and building bespoke computational twins—AI-powered digital twins—that transform client decision-making. This role demands ownership of the technical data science vision, direct client partnership, and mentoring the next generation of data science talent. This is a pivotal opportunity to drive innovative, high-impact AI deployments.
What you'll be doing:
- Guiding the technical delivery of Frontier deployments, from initial discovery to the productionisation of computational twins.
- Owning the end-to-end data science approach, including designing and implementing optimal techniques from EDA to deep learning.
- Partnering with commercial teams and clients as a trusted technical advisor to build strong, lasting relationships.
- Articulating complex technical concepts, model design choices, and strategic decisions clearly to diverse C-suite and engineering audiences.
- Formally managing and mentoring data scientists, taking direct responsibility for their professional growth and career progression.
- Establishing a distinct data science vision and driving best practices for configuring the Frontier product.
- Keeping abreast of the latest advancements in AI and identifying how they can be incorporated into the Frontier product and delivery workflows.
Who we're looking for:
- You have deep technical expertise in machine learning and a command of diverse statistical and data science methodologies (e.g., supervised/unsupervised learning, Bayesian inference, time-series analysis).
- You possess strong Python skills and excellent proficiency with core data science libraries (NumPy, Pandas, Scikit-Learn), plus familiarity with deep-learning frameworks (TensorFlow, PyTorch).
- You have proven experience leading data science projects, making key decisions on technical direction, model selection, and architecture.
- You are an exceptional communicator, capable of translating complex business problems into mathematical frameworks and presenting persuasive technical solutions to senior audiences.
- You possess a strategic, product-oriented mindset, deeply understanding user needs and connecting them to the value delivered by a technical product like Frontier.
- You are passionate about developing people and have experience formally managing or mentoring other technical professionals.
- You bring essential commercial experience, particularly in client-facing work or consulting, and are motivated to deliver innovative work successfully to strict timelines.
Interview Process: Talent Screen (30 mins), Technical Interview (90 mins), Commercial and Leadership interview (60 mins), Principles Interview (60 mins).
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.
If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.
Lead Data Scientist - Customer Development in London employer: Faculty AI
Contact Detail:
Faculty AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist - Customer Development in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with Faculty employees on LinkedIn. Building relationships can open doors that applications alone can't.
✨Tip Number 2
Prepare for your interviews by practising common data science scenarios. Think about how you’d tackle real-world problems and be ready to discuss your thought process. We want to see your problem-solving skills in action!
✨Tip Number 3
Showcase your passion for AI and data science during interviews. Share your personal projects or any innovative ideas you have for the Frontier product. We love candidates who are excited about making an impact!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Faculty.
We think you need these skills to ace Lead Data Scientist - Customer Development in London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI shine through! We want to see how you connect with our mission of using technology for positive impact. Share any relevant projects or experiences that highlight your passion.
Tailor Your Application: Make sure to customise your application to reflect the specific requirements of the Lead Data Scientist role. Highlight your experience with machine learning and data science methodologies, and don’t forget to mention your Python skills and familiarity with key libraries!
Be Clear and Concise: We appreciate clarity in communication, especially when it comes to complex technical concepts. Use straightforward language to explain your past projects and achievements, making it easy for us to understand your contributions and impact.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Faculty AI
✨Know Your AI Inside Out
Make sure you brush up on the latest advancements in AI, especially those relevant to machine learning and data science methodologies. Be prepared to discuss how these can be applied to the Frontier product and real-world scenarios.
✨Master the Technical Jargon
Since you'll be articulating complex concepts to diverse audiences, practice explaining your technical knowledge in simple terms. This will help you connect with both C-suite executives and engineering teams during the interview.
✨Showcase Your Leadership Skills
Be ready to share examples of how you've led data science projects and mentored others. Highlight your experience in making key decisions and driving best practices, as this role requires strong leadership capabilities.
✨Build a Connection with the Interviewers
During the interview, focus on building rapport with your interviewers. Ask insightful questions about their work and the company’s vision. This shows your genuine interest and helps establish a lasting relationship, which is crucial for a client-facing role.