At a Glance
- Tasks: Lead data science projects and mentor a talented team while delivering innovative AI solutions.
- Company: Join Faculty, a leader in human-centric AI with a diverse and brilliant team.
- Benefits: Work in a dynamic environment with opportunities for professional growth and collaboration.
- Why this job: Shape the future of AI and make a real impact on global challenges.
- Qualifications: Expertise in machine learning, Python, and experience in leading data science projects.
- Other info: Be part of a culture driven by intellectual curiosity and innovation.
The predicted salary is between 36000 - 60000 ÂŁ per year.
About Faculty
At Faculty, we transform organisational performance through safe, impactful and human‑centric AI.
With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award‑winning Fellowship programme.
Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI.
Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.
About the role
This is an exciting opportunity to work on Faculty’s product Frontier, working as a Lead Data Scientist in our Customer Development team. You’ll have a crucial opportunity to shape the technical vision for how we deliver our flagship Frontier product to customers and guide the senior and junior data scientists on your team.
You will oversee project teams that configure Frontier for our customers by designing and building bespoke computational twins – our AI‑powered digital twins. Maintaining ownership of the data science approach, you will own the technical vision for these complex deployments, partner directly with clients to shape strategy, and play a vital part in mentoring the next generation of data science talent at Faculty.
What you’ll be doing
Project Leadership
- Guide the technical delivery of Frontier deployments for clients, from initial discovery through to the build and productionisation of computational twins.
- Own the end‑to‑end data science approach, designing and implementing the optimal techniques – from EDA and classic machine learning to deep learning – to create high‑performing computational twins within the Frontier platform.
- Partner with our commercial team and clients to build strong, lasting relationships, acting as a trusted technical advisor on how AI & Frontier can solve their most complex problems.
- Articulate intricate technical concepts, model design choices, and strategic decisions clearly and effectively to diverse audiences, from client‑side engineers to C‑suite executives.
Team Mentorship
- Formally manage and mentor a number of data scientists, taking direct responsibility for their career progression and professional growth.
- Provide targeted technical support and learning opportunities for the data scientists on your project teams, ensuring they are developing their skills in applied data science and on the Frontier platform.
- Contribute to sustaining our culture by creating an atmosphere of collaboration and setting a high standard for performance and technical excellence within the team.
Technical Leadership
- Establish a distinct and differentiated data science vision for building computational twins, driving best practices and innovative approaches for configuring the Frontier product.
- Partner with our commercial and product teams to ensure potential projects are appropriately scoped and resourced, balancing client delivery, colleague wellbeing, and commercial imperatives.
- Keep abreast of the latest technical and technology advancements in AI, share these with others in the organisation, and identify how they can be incorporated into the Frontier product and our delivery workflows.
Who we’re looking for
- You have deep technical expertise in machine learning and a command of diverse methodologies, with a solid grasp of data science and statistical techniques (e.g., supervised/unsupervised machine learning, model cross‑validation, Bayesian inference, time‑series analysis).
- Strong Python programming skills and an excellent proficiency of the basic libraries for data science (e.g., NumPy, Pandas, Scikit‑Learn) and familiarity with a deep‑learning framework (e.g., TensorFlow, PyTorch).
- You possess proven experience leading data science projects and making key decisions on technical direction, model selection, and architecture.
- You are an exceptional communicator, capable of building rapport with clients, translating complex business problems into a mathematical framework, and presenting technical solutions persuasively to senior audiences.
- You have strategic, product‑oriented mindset, with an ability to understand the core needs of users and connect 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.
- Commercial experience is essential, particularly if it involved client‑facing work, project management, or consulting. You are motivated to work alongside our clients to ensure the successful delivery of innovative work to strict timelines.
What we can offer you
The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day.
Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals.
Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.
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Lead Data Scientist - Customer Development employer: The Rundown AI, Inc.
Contact Detail:
The Rundown AI, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist - Customer Development
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or conferences related to AI and data science. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those that align with what Faculty does. Use GitHub or a personal website to display your work and make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. Think about how you would explain complex concepts to non-technical audiences, as communication is key in client-facing roles like the one at Faculty.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team at Faculty.
We think you need these skills to ace Lead Data Scientist - Customer Development
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Lead Data Scientist role. Highlight your experience with machine learning, project leadership, and mentoring, as these are key aspects of what we’re looking for.
Showcase Your Technical Skills: Don’t hold back on showcasing your technical expertise! Include specific examples of your work with Python, data science libraries, and any relevant projects that demonstrate your ability to lead and innovate in AI.
Communicate Clearly: Remember, we value clear communication! When describing your past experiences, make sure to articulate complex concepts in a way that’s easy to understand. This will show us you can connect with both technical and non-technical audiences.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re genuinely interested in joining our team at Faculty!
How to prepare for a job interview at The Rundown AI, Inc.
✨Know Your Stuff
Make sure you brush up on your machine learning techniques and data science methodologies. Be ready to discuss your experience with Python and libraries like NumPy and Pandas, as well as any deep learning frameworks you've used. This role is all about technical expertise, so show them you’ve got it!
✨Showcase Your Leadership Skills
Since this position involves guiding a team, be prepared to share examples of how you've led data science projects in the past. Talk about your mentoring experiences and how you've helped others grow in their careers. They want to see that you can inspire and elevate your team.
✨Communicate Clearly
You’ll need to articulate complex concepts to various audiences, so practice explaining your work in simple terms. Think about how you would present a technical solution to a non-technical client or a C-suite executive. Clear communication is key in this role!
✨Understand the Business Side
This job isn’t just about the tech; it’s also about understanding client needs and delivering value. Be ready to discuss how you’ve connected technical solutions to business problems in the past. Show them you have a strategic mindset and can balance technical delivery with commercial imperatives.