Revolut Hiring – Data Scientist | Freshers & Experienced | Remote
Revolut is hiring for the role of Data Scientist in a remote work model, offering a high-impact opportunity for both fresh graduates and experienced professionals who want to work in a fast-growing global fintech company. Revolut is known for redefining digital banking, payments, and financial services through technology, data, and innovation. This role is ideal for candidates who are passionate about data, modeling, analytics, and using insights to influence real business decisions at scale.
Working as a Data Scientist at Revolut means being part of a data-driven culture where analytics directly shapes products such as credit scoring, fraud detection, risk management, and customer experience. The remote nature of the role also provides flexibility while working with international teams and handling complex, real-world datasets.
Job Overview
- Position: Data Scientist
- Company: Revolut
- Qualification: Bachelor’s / Master’s Degree / PhD
- Experience: Freshers & Experienced Professionals
- Location: Remote (Work From Home)
- Employment Type: Full-Time
This role is well suited for candidates who enjoy working with large datasets, building predictive models, and translating data insights into actionable strategies.
About the Role
As a Data Scientist at Revolut, you will work on solving real business problems using data, statistics, and machine learning techniques. You will collaborate with product managers, engineers, risk teams, and business stakeholders to design data-driven solutions that improve financial products and customer outcomes.
The role focuses on understanding business objectives, exploring data, building models, and validating results through experimentation. Whether you are a fresher with strong academic foundations or an experienced professional with hands-on exposure, this role allows you to work on meaningful challenges in areas such as credit risk, growth analytics, fraud prevention, and personalization.
Key Responsibilities
In this role, selected candidates may be responsible for:
- Analyzing large-scale structured and unstructured datasets
- Building statistical and machine learning models for business use cases
- Developing credit, risk, or behavioral models
- Designing and analyzing experiments to measure impact
- Translating analytical findings into clear business insights
- Collaborating with engineers to deploy models into production
- Monitoring model performance and improving accuracy over time
- Documenting methodologies and communicating results to stakeholders
Responsibilities may vary depending on the specific team or project allocation.
Skills Required
Candidates applying for this role should have:
- Strong foundations in statistics, mathematics, and probability
- Experience with data analysis and modeling techniques
- Proficiency in Python, SQL, or similar programming languages
- Understanding of machine learning concepts and algorithms
- Ability to work with large datasets and draw meaningful insights
- Strong problem-solving and analytical thinking skills
- Good communication skills to explain complex results clearly
Experience with tools such as Pandas, NumPy, Scikit-learn, or data visualization platforms is an added advantage but not mandatory for fresh graduates with strong fundamentals.
Who Can Apply
This opportunity is suitable for:
- Fresh graduates with strong academic backgrounds in data-related fields
- Experienced professionals looking to grow in fintech analytics
- Candidates with degrees in Computer Science, Engineering, Mathematics, Statistics, or related disciplines
- Individuals interested in applying data science to real financial products
- Professionals comfortable working in fast-paced, remote environments
Applicants with academic projects, internships, or industry experience in data science or analytics are encouraged to apply.
Why This Role Is a Strong Career Move
The Data Scientist role at Revolut offers exposure to real-world, high-impact problems in the fintech industry. Unlike purely research-focused roles, this position allows you to see the direct business impact of your work through improved products, better risk decisions, and enhanced customer experiences.
Revolut’s data-driven culture ensures that insights are not just reported but actively used. This makes the role highly rewarding for data scientists who want their work to matter. The global brand value of Revolut also strengthens your professional profile significantly.
Work Culture and Remote Environment
Revolut supports a modern, remote-friendly work culture that values ownership, accountability, and continuous learning. Teams are highly collaborative despite being distributed globally. Employees are encouraged to challenge assumptions, propose improvements, and take responsibility for outcomes.
The remote setup allows professionals to work flexibly while still being part of a high-performance, international team. Learning opportunities, internal knowledge sharing, and exposure to global markets make this environment ideal for ambitious data professionals.
Career Growth Opportunities
With strong performance and continuous learning, Data Scientists at Revolut can progress into roles such as:
- Senior Data Scientist
- Applied Machine Learning Scientist
- Risk or Credit Modeling Specialist
- Analytics Lead
- Data Science Manager
The experience gained at Revolut also opens doors to advanced roles across fintech, banking, technology, and global product companies.
How to Apply
Interested candidates can apply for the Data Scientist role through Revolut’s official careers portal. Applicants should ensure their resume highlights analytical skills, modeling experience, projects, and relevant tools or technologies.
Final Job Insight
The Data Scientist role at Revolut is an excellent opportunity for freshers and experienced professionals to work on impactful, data-driven problems in a global fintech environment. With remote flexibility, strong learning exposure, and real business influence, this role provides a powerful platform for building a long-term career in data science and analytics.
