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®
TANDEM, the commercial brand of The Female Lead, is an exceptional employer that fosters a dynamic and inclusive work culture in West London. With a focus on employee growth, we offer comprehensive training and development opportunities, alongside a competitive salary and benefits package, ensuring our team members thrive both personally and professionally. Join us to be part of a forward-thinking organisation that values innovation and collaboration, making a meaningful impact in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist
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We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Women in Data®, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Women in Data®. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Women in Data®
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Women in Data®!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
