At a Glance
- Tasks: Lead data science projects and build AI-powered digital twins for our customers.
- Company: Join Faculty, a leader in human-centric AI with a diverse and innovative team.
- Benefits: Enjoy a dynamic work environment, professional growth, and the chance to learn from industry experts.
- Other info: Be part of a community that values intellectual curiosity and personal development.
- Why this job: Make a real impact in AI while collaborating with brilliant minds in a supportive culture.
- Qualifications: Senior data science experience, strong Python skills, and a passion for leadership and collaboration.
The predicted salary is between 43200 - 72000 £ per year.
At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With a decade of experience, we provide over 300 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.
As a Senior Data Scientist within Frontier, you will lead the data science work on project teams that are configuring our product Frontier for our customers. Each deployment of Frontier requires a computational twin, essentially an AI-powered digital twin, to be built, and it is primarily the responsibility of our data scientists to both design and then build these computational twins. This role involves deeply understanding the core customer problem to ensure that the technical solution can drive value.
The build of a computational twin involves tasks common to all data science work such as EDA, model building, and model evaluation. You’ll be a leader within a cross-functional delivery team, working closely with engineers, designers, and commercial roles to deliver value to customers. You will help our excellent commercial team build strong relationships with clients, shaping the direction of both current and future projects. Additionally, you will play an important role in the development of other data scientists at Faculty through activity management and potentially line management of others.
Who we’re looking for:
- Senior experience in either a professional data science position or a quantitative academic field
- Strong python programming skills as evidenced by earlier work in data science or software engineering
- An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe)
- A high level of mathematical competence and proficiency in statistics
- A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models
- A leadership mindset focused on growing the technical capabilities of the team; a caring attitude towards the personal and professional development of other data scientists
- An appreciation for the scientific method as applied to the commercial world; a talent for converting business problems into a mathematical framework
- Some commercial experience, particularly if this involved client-facing work or project management
- Outstanding written and verbal communication skills; persuasiveness when presenting to a large or important audience
- Experience leading a team of data scientists and composing a project plan
- A product mindset, able to understand the needs of users and to learn how Frontier delivers them value
What we can offer you:
The Faculty team is diverse and distinctive, driven by a deep intellectual curiosity. 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. We are proud supporters of Women in Data. Connect, engage and belong to the largest free female data community in the UK.
Senior Data Scientist employer: Women in Data®
Women in Data® is an exceptional employer that champions diversity and innovation within the tech industry. With a strong commitment to employee growth, you will benefit from generous annual leave, ongoing development opportunities, and a collaborative work culture that values mentorship and technical excellence. Join us in a role that not only enhances your career but also contributes to meaningful initiatives in data and machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in your field on LinkedIn, especially those at Faculty. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss your experience with Python, machine learning, and any relevant projects you've worked on.
✨Tip Number 3
Showcase your leadership skills! Be ready to talk about how you've mentored others or led projects. Faculty values a collaborative culture, so highlight your team spirit.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with Python, data science techniques, and any leadership roles you've had. 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 your background makes you a great fit for our team. Don’t forget to mention any relevant projects or experiences that showcase your expertise.
Showcase Your Projects:If you've worked on interesting data science projects, make sure to include them in your application. We love seeing real-world applications of your skills, so share any computational twins or models you've built that demonstrate your capabilities.
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. Plus, it shows us you're serious about joining our amazing team at Faculty!
How to prepare for a job interview at Women in Data®
✨Know Your Data Science Fundamentals
Brush up on your core data science techniques, especially those mentioned in the job description like supervised/unsupervised learning and model evaluation. Be ready to discuss how you've applied these methods in past projects, as this will show your depth of knowledge and practical experience.
✨Showcase Your Python Skills
Since strong Python programming skills are crucial for this role, prepare to demonstrate your proficiency. You might be asked to solve a coding problem or explain your previous work with libraries like NumPy and Pandas. Practising common data manipulation tasks can help you feel more confident.
✨Understand the Business Context
Make sure you can articulate how data science solutions can drive value for clients. Familiarise yourself with the company’s projects and think about how you would approach solving their specific challenges. This shows that you’re not just technically skilled but also commercially aware.
✨Prepare for Leadership Questions
As a Senior Data Scientist, you'll likely be leading teams. Be ready to discuss your leadership style and experiences. Think of examples where you've mentored others or led a project, and how you fostered collaboration within your team. This will highlight your ability to grow and support your colleagues.
