At a Glance
- Tasks: Design and deploy data science solutions for urgent low-carbon challenges.
- Company: Join Faculty, a leader in impactful AI consultancy with a diverse team.
- Benefits: Enjoy continuous learning, mentorship, and the chance to make a real-world impact.
- Other info: Bonus skills include experience in NLP, deep learning, and customer-facing roles.
- Why this job: Work on high-impact projects and collaborate with brilliant minds in AI.
- Qualifications: Strong foundations in data science, programming skills, and a creative problem-solving mindset required.
The predicted salary is between 36000 - 60000 £ per year.
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 teamOur 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 between 2 to 4 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 Data Scientist, you will work closely with clients and cross functional teams to define project scope, ensure technical feasibility, and drive delivery excellence.
You’ll design and deliver bespoke data science solutions, shaping the technical direction of high-impact projects 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 architecture for projects
- Driving the technical scoping and feasibility assessment of new projects
- Building strong client relationships by acting as a technical advisor and shaping the direction of current and future engagements
- Delivering bespoke algorithms and scalable software solutions that adhere to best practices for high-stakes decision-making
- Setting the technical bar for the project team, ensuring the highest standards of code, rigour, and delivery quality (IC leadership)
- Contributing to Faculty's thought leadership and reputation through teaching, public speaking, or open-source projects
- You have proven experience in a professional data science or quantitative academic role, underpinned by high mathematical and statistical competence.
- You are a strong Python programmer, proficient in essential libraries (NumPy, Pandas) and a deep-learning framework (TensorFlow/PyTorch).
- You possess a solid grasp of core data science techniques (supervised/unsupervised learning, time-series, NLP, model validation) and the ability to innovate new algorithms.
- You apply a rigorous scientific and entrepreneurial mindset, translating complex business problems into a mathematical framework and measuring model impact upon deployment.
- You are an exceptional communicator, adept at translating complex technical solutions into persuasive, actionable insights for senior and non-technical audiences.
- You contribute to team success by project planning, assessing technical feasibility, estimating delivery timelines, and achieving measurable outcomes.
- Talent Team Screen (30 minutes)
- Take Home Technical Assessment
- Technical Interview (90 minutes)
- Commercial Interview (60 minutes)
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 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.
#J-18808-LjbffrData Scientist in London employer: Faculty
At Faculty, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters continuous learning and professional growth. As a Data Scientist in our Energy Transition & Environment team, you'll engage in impactful projects that address urgent challenges in the low-carbon transition, all while collaborating with a diverse group of talented individuals who share a passion for AI. With opportunities to shape a high-growth business and make a tangible difference, Faculty is the perfect place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in London
✨Tip Number 1
Familiarise yourself with the latest trends in AI and data science, especially those related to the energy sector. This will not only help you understand the challenges Faculty is tackling but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the field by attending industry events or joining relevant online communities. Engaging with others who work in AI and data science can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Prepare to discuss your previous projects in detail, particularly those that involved machine learning or data manipulation. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will demonstrate your problem-solving skills.
✨Tip Number 4
Showcase your communication skills by practising how to explain complex technical concepts in simple terms. This is crucial for a role that requires collaboration with both technical and non-technical stakeholders.
We think you need these skills to ace Data Scientist in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in data science, particularly any projects or roles that involved AI, machine learning, or the energy sector. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter:In your cover letter, express your passion for AI and the energy sector. Discuss specific projects or experiences that showcase your problem-solving skills and ability to communicate complex concepts to diverse audiences.
Showcase Technical Skills:Clearly outline your programming experience, especially in Python or other relevant languages. Mention any familiarity with data manipulation libraries like NumPy and Pandas, as well as your understanding of machine learning algorithms.
Demonstrate Curiosity and Learning:Highlight any continuous learning efforts, such as courses or certifications related to data science or AI. This shows your commitment to professional growth and aligns with Faculty's culture of mentorship and development.
How to prepare for a job interview at Faculty
✨Showcase Your Technical Skills
Be prepared to discuss your programming experience, especially in Python. Highlight any projects where you've applied machine learning techniques or data manipulation libraries like NumPy and Pandas.
✨Demonstrate Problem-Solving Abilities
Think of examples where you've turned complex problems into data science solutions. Be ready to explain your thought process and how you approached these challenges, particularly in the context of energy or environmental issues.
✨Communicate Clearly
Practice explaining technical concepts in simple terms. Faculty values clear communication, so be prepared to present your work confidently to both technical and non-technical audiences.
✨Express Curiosity About the Energy Sector
Show your enthusiasm for the energy transition and low-carbon initiatives. Discuss any relevant research or projects you've been involved in that relate to this field, demonstrating your genuine interest in making an impact.
