At a Glance
- Tasks: Lead the delivery of AI projects and mentor a team of data scientists.
- Company: Join Faculty, a leader in human-centric AI solutions.
- Benefits: Collaborative culture, career growth, and the chance to work with brilliant minds.
- Why this job: Shape the future of AI while making a real impact on clients' challenges.
- Qualifications: Expertise in machine learning, Python, and experience in leading data science projects.
- Other info: Dynamic environment with opportunities for professional development and innovation.
The predicted salary is between 48000 - 84000 ÂŁ per year.
Join to apply for the Lead Data Scientist - Customer Development role at 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 awardâwinning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI.
This is an exciting opportunity to work on Faculty's product Frontier, working as a Lead Data Scientist in our Customer Development team. You will oversee project teams that configure Frontier for our customers by designing and building bespoke computational twins â our AIâpowered 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 youâre doing:
- Guide the technical delivery of Frontier deployments for clients, from initial discovery through to the build and productionisation of computational twins.
- Own the endâtoâend data science approach, designing and implementing the optimal techniques â from EDA and classic machine learning to deep learning â to create highâperforming 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 clientâside engineers to Câsuite 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 Weâre 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 crossâvalidation, Bayesian inference, timeâseries analysis).
- Strong Python programming skills and an excellent proficiency of the basic libraries for data science (e.g., NumPy, Pandas, ScikitâLearn) and familiarity with a deepâlearning 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 a strategic, productâoriented 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 clientâfacing 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. Youâll be surrounded by an impressive group of brilliant minds working to achieve our collective goals.
Lead Data Scientist in London employer: Faculty
Contact Detail:
Faculty Recruiting Team
StudySmarter Expert Advice đ€«
We think this is how you could land Lead Data Scientist in London
âšTip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or conferences related to data science. You never know who might have a lead on your dream job!
âšTip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those that highlight your expertise in machine learning and AI. Share it on platforms like GitHub or your personal website to catch the eye of potential employers.
âšTip Number 3
Prepare for interviews by practising common data science questions and case studies. Make sure you can explain your thought process clearly, as communication is key when discussing complex concepts with clients or team members.
âšTip Number 4
Donât forget to apply through our website! We love seeing candidates who are genuinely interested in joining Faculty. Tailor your application to show how your skills align with our mission and the role of Lead Data Scientist.
We think you need these skills to ace Lead Data Scientist in London
Some tips for your application đ«Ą
Tailor Your CV: Make sure your CV is tailored to the Lead Data Scientist role. Highlight your experience with machine learning, Python, and any relevant projects that showcase your technical expertise. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can contribute to our team at Faculty. Be sure to mention specific experiences that demonstrate your leadership and mentoring abilities.
Showcase Your Communication Skills: As a Lead Data Scientist, you'll need to communicate complex ideas clearly. In your application, give examples of how you've successfully explained technical concepts to non-technical audiences. This will show us you're the right fit for the role!
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way to ensure your application gets to the right people. Plus, it shows us you're genuinely interested in joining our team at Faculty!
How to prepare for a job interview at Faculty
âšKnow 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 youâve got it!
âšShowcase Your Leadership Skills
Since this position involves mentoring and guiding other data scientists, be prepared to share examples of how you've led teams in the past. Talk about your approach to managing projects and how youâve helped others grow in their careers. They want to see that you can inspire and elevate your team.
âšCommunicate Clearly
Youâll need to articulate complex technical concepts to a variety of audiences, from engineers to executives. Practice explaining your past projects in simple terms, focusing on the impact and value they delivered. This will demonstrate your ability to connect with clients and stakeholders effectively.
âšUnderstand the Business Side
This role isnât just about the tech; itâs also about understanding client needs and delivering solutions that drive value. Familiarise yourself with Faculty's products and think about how your skills can help solve their clients' challenges. Showing that you have a strategic mindset will set you apart.