At a Glance
- Tasks: Lead data science projects and develop bespoke algorithms for defence and national security clients.
- Company: Join Faculty, a leader in human-centric AI with a diverse and innovative team.
- Benefits: Hybrid working model, access to powerful resources, and opportunities for professional growth.
- Other info: Collaborate with brilliant minds and enjoy a dynamic, intellectually curious environment.
- Why this job: Make a real impact in AI while mentoring others and shaping future projects.
- Qualifications: Senior experience in data science, strong programming skills, and leadership mindset.
The predicted salary is between 50000 - 60000 £ per year.
About 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 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. We operate a hybrid way of working, meaning that you'll split your time across client location, Faculty's Old Street office and working from home depending on the needs of the project.
What you'll be doing:
- As a Senior Data Scientist in our Defence business unit you will lead project teams that deliver bespoke algorithms to our clients across the defence and national security sector.
- You will be responsible for conceiving the data science approach, for designing the associated software architecture, and for ensuring that best practices are followed throughout.
- You will help our excellent commercial team build strong relationships with clients, shaping the direction of both current and future projects.
- You will play an important role in the development of others at Faculty by acting as the designated mentor of a small number of data scientists, and by supporting the professional growth of data scientists on the project team.
- You will actively contribute to the growth of this reputation by delivering courses to high-value clients, by talking at major conferences, by participating in external roundtables, or by contributing to large-scale open-source projects.
- You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project.
- Thanks to Faculty platform, you will have access to powerful computational resources, and you will enjoy the comforts of fast configuration, secure collaboration and easy deployment.
- You will often collaborate with software engineers and designers from our dedicated product team.
Who we're looking for:
- Senior experience in either a professional data science position or a quantitative academic field.
- Strong 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.
- A leadership mindset focused on growing the technical capabilities of the team.
- An appreciation for the scientific method as applied to the commercial world.
- Some commercial experience, particularly if this involved client-facing work or project management.
- Experience leading a team of data scientists.
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.
Remote Senior Data Scientist in Crawley employer: Faculty AI
At Faculty, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. Our hybrid working model allows for flexibility between client sites, our vibrant Old Street office, and remote work, ensuring a balanced approach to productivity. With a strong emphasis on professional development, mentorship opportunities, and access to cutting-edge resources, you'll be part of a diverse team dedicated to transforming the future of AI while growing your own expertise in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Senior Data Scientist in Crawley
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Faculty AI!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Remote Senior Data Scientist at Faculty AI.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Faculty AI.
✨Apply Directly through Our Website
When you find a suitable opening like Remote Senior Data Scientist at Faculty AI, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Remote Senior Data Scientist in Crawley
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 Faculty AI, 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 Faculty AI. 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 Faculty AI
✨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 Faculty AI!
✨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.
