At a Glance
- Tasks: Develop and deploy advanced computer vision models to automate compliance processes.
- Company: Join Revolut, a fast-growing fintech revolutionising how people manage their money.
- Benefits: Competitive salary, remote work options, and a vibrant company culture.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
- Why this job: Make a real impact by building innovative solutions in a dynamic environment.
- Qualifications: Strong maths, Python skills, and experience with machine learning and computer vision.
The predicted salary is between 63000 - 77000 £ per year.
hackajob is collaborating with Revolut to connect them with exceptional professionals for this role.
About Revolut People deserve more from their money.
More visibility, more control, and more freedom.
Since 2015, Revolut has been on a mission to deliver just that.
Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 75 million customers get more from their money every day.
As we continue our lightning-fast growth, 2 things are essential to our success: our people and our culture.
In recognition of our outstanding employee experience, we've been certified as a Great Place to Work™.
So far, we have 13,000 people working around the world, from our offices and remotely, to help us achieve our mission.
And we're looking for more brilliant people.
People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.
About the role From ID verification automation to facial recognition for account onboarding, our team builds and deploys the systems that require advanced computer vision approaches.
As we continue to rapidly expand our customer base globally, the commercial impact of the team also grows.
Every step the team automates is a step less that needs to be handled manually, enabling Revolut to scale globally.
We're looking for a Computer Vision Data Scientist to help us better automate these compliance-related processes by developing and producing both online and offline algorithms.
If you're skilled in software engineering, machine learning, computer vision, and applied maths, possess a passion for building solutions, and have a strong aptitude for data technologies and advanced computer vision models, then this is your gig!
What you’ll be doing Working alongside a team of computer vision scientists and engineers Owning the projects you develop while benefiting from the support of the wider Computer Vision team Architecting and creating new computer vision models to automate our compliance and retail processes Working on our Python and Py Torch/Tensor Flow stack (we're hosted on GCP and our data scientists and engineers rely heavily on tools like Jupyter and Docker for machine learning solutions) What you'll need Evidence of strong mathematical and statistics knowledge Knowledge of Python 3 with experience in computational libraries, OOP, TDD, multi-processing, etc.
Working knowledge of SQL (joins, CTEs, functions, etc.) Hands-on experience with DL libs (Py Torch/Tensor Flow/Keras, ONNX/Open Vino) Hands-on experience with CV libs (open CV, pillow, torchvision) Working knowledge of version control, model deployment, developer environments, CI/CD, and containerisation Working knowledge and experience of cloud-based infrastructure Nice to have Familiarity with Hugging Face, wandb. ai, and paperswithcode Strong experience with additional programming languages (e. g.
Java) Experience in system design and distributed computing Up-to-date knowledge of Vi T, Diffusion, GPT-4, and Ret Nets Building a global financial super app isn’t enough.
Our Revoluters are a priority, and that’s why in 2021 we launched our inaugural D&I Framework, designed to help us thrive and grow everyday.
We're not just doing this because it's the right thing to do.
We’re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers.
That’s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.
Important notice for candidates: Job scams are on the rise.
Please keep these guidelines in mind when applying for any open roles.
- Only apply through official Revolut channels.
We don’t use any third-party services or platforms for our recruitment.
- Always double-check the emails you receive.
Make sure all communications are being done through official Revolut emails, with an @revolut. com domain.
We won't ask for payment or personal financial information during the hiring process.
If anyone does ask you for this, it’s a scam.
Report it immediately.
By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact.
I confirm I have disclosed if applicable any previous employment with Revolut.
I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed.
By submitting this application, I agree that my personal data will be processed in accordance with Revolut's Candidate Privacy Notice
Data Scientist (Computer Vision) employer: Revolut
Revolut is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those looking to make a significant impact in the financial sector. With a strong emphasis on employee growth and development, we offer unique opportunities to shape regulatory practices while collaborating with industry leaders in a fast-paced environment. Join us in our London office to be part of a forward-thinking team that values compliance and drives the future of finance.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist (Computer Vision)
✨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 Revolut!
✨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 Data Scientist (Computer Vision) at Revolut.
✨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 Revolut.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist (Computer Vision) at Revolut, 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 Data Scientist (Computer Vision)
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 Revolut, 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 Revolut. 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 Revolut
✨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 Revolut!
✨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.
