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- 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.
- 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.
- Other info: Opportunities to teach and present at conferences while shaping the future of AI.
The predicted salary is between 48000 - 72000 ÂŁ 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\âve worked with over 350 global customers to transform their performance through humanâcentric AI. You can read about our realâworld impact here. We don\ât chase hype cycles. We innovate, build and deploy responsible AI which moves the needle â 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.About The Team The Faculty FrontierTM product is our ambitious vision to create the first enterpriseâgrade platform that unifies decision intelligence with AI Agents to optimise realâworld outcomes of critical processes across largeâscale 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 Join us to shape the future of our Frontier Decision Intelligence Platform. As a Senior Data Scientist, you will lead the design and delivery of AIâpowered digital twins that transform how organisations make critical decisions. You will sit at the heart of crossâfunctional teams, blending technical excellence with commercial insight to solve complex customer problems. This is an opportunity to mentor emerging talent while driving highâimpact, productionâgrade AI solutions in a fastâpaced, entrepreneurial environment.What You\âll Be DoingDesigning and building computational twins, creating AIâdriven digital reflections tailored for each unique Frontier deployment.Leading data science efforts within crossâfunctional teams, partnering with engineers, designers, and commercial leads to ensure successful project outcomes.Understanding deeply core customer challenges to ensure every technical solution delivers significant realâworld value.Performing rigorous exploratory data analysis, model building, validation, and performance monitoring.Supporting strong client relationships by working alongside our commercial team to shape the strategic direction of projects.Mentoring and developing other data scientists through task leadership and potential line management.Who We\âre Looking ForYou have seniorâlevel experience in data science or quantitative research, supported by a strong foundation in statistics and mathematics.You\âre proficient in Python and essential libraries like NumPy and Pandas, with familiarity in deepâlearning frameworks such as TensorFlow or PyTorch.You possess a versatile toolkitâincluding supervised learning, timeâseries, and Bayesian methodsâand the creativity to develop new algorithms when needed.You bring a leadership mindset focused on technical excellence, team growth, and fostering a collaborative, inclusive culture.You exhibit scientific rigour and a businessâfocused approach, successfully translating complex problems into actionable technical strategies.You\âve demonstrated success in project planning and delivery, with the communication skills to present persuasively to senior stakeholders.The Interview ProcessTalent Team Screen (30 minutes)Technical Interview (90 minutes)Commercial Interview (60 minutes)Our Recruitment Ethos We aim to grow the best team â 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\âre 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 BenefitsUnlimited Annual Leave PolicyPrivate healthcare and dentalEnhanced parental leaveFamilyâFriendly Flexibility & Flexible workingSanctus CoachingHybrid WorkingIf you don\ât feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don\ât hesitate in applying as you might be right for this role, or other roles. We are open to conversations about partâtime hours.#J-18808-Ljbffr
Senior Data Scientist employer: Faculty
Contact Detail:
Faculty Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Senior Data Scientist
â¨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.
â¨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.
â¨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.
â¨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
Some tips for your application đŤĄ
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
â¨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.
â¨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.
â¨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.
â¨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.