Revolut is hiring for a remote fresher entry level Data Scientist role (people with internship experience can apply)
Position:
- Title: Data Scientist (Credit)
Company:
- Name: Revolut
Location:
- Primary Office: Bangalore
- Remote Work: Available for candidates across India
Job Type:
- Category: Full-time, Permanent Role
Job Mode:
- Arrangement: Flexible (Remote and In-office Options)
Job Requisition ID:
- Reference Code: NA
Years of Experience:
- Required Experience: RELEVANT INTERNSHIP EXPERIENCE WORKS
Company Description:
- About Revolut:
- Established in 2015, Revolut aims to empower users to maximize the value of their money.
- Products include spending, saving, investing, currency exchange, travel, and more, providing holistic financial services to over 45 million global customers.
- Mission-driven to bring greater visibility, control, and freedom in financial management.
- Recognized globally as a Great Place to Work™, fostering a unique culture that values employee well-being, innovation, and growth.
- The Revolut team includes more than 10,000 employees worldwide, both remotely and in-office, each contributing to the mission of simplifying financial experiences.
- Committed to growth and innovation, Revolut seeks individuals who thrive on challenges and enjoy crafting solutions that make complex problems manageable.
Profile Overview:
- Role and Impact:
- Revolut’s Data Science team tackles some of the company’s most complex problems and creates bespoke solutions to enhance customer experience.
- Data Scientists work closely with product teams to build data solutions directly aligned with the company’s strategic goals.
- The role involves deep data analysis to identify customer needs, potential problems, and actionable insights.
- Utilizing machine learning and data-driven approaches, the team iterates and experiments to develop and implement automated solutions.
- Data Scientists collaborate with product designers, engineers, and other data professionals to bring impactful solutions to life.
- Opportunity to work on the frontline of data-driven product development, focusing on delivering measurable impact and solving financial services challenges.
Qualifications:
- Professional Background:
- Experience within a data science team specifically in the credit industry or similar financial institutions (INTERNSHIP EXPERIENCE ALSO WORKS)
- Experience within a data science team specifically in the credit industry or similar financial institutions (INTERNSHIP EXPERIENCE ALSO WORKS)
- Educational Requirements:
- STEM Degree: Bachelor’s, Master’s, or PhD in fields such as Mathematics, Computer Science, or Engineering.
- Technical Skills:
- Proficiency in Python, SQL, and various production tools for data science.
- Strong grounding in probability and statistical concepts applicable to data modeling.
- Problem-solving Abilities:
- Analytical mindset with an ability to diagnose issues, conduct research, and formulate robust solutions.
- Communication and Collaboration:
- Effective at communicating complex concepts clearly.
- Proven track record of collaborating with cross-functional teams including Product Owners and business stakeholders.
Additional Info:
- Diversity and Inclusion (D&I):
- Revolut values diversity as a fundamental component of its culture, viewing it as essential to innovation and excellence.
- In 2021, the company introduced its D&I Framework to enhance workplace inclusivity and foster a collaborative environment.
- Strong commitment to attracting talent from diverse backgrounds and creating a supportive, inclusive environment.
- Data Privacy:
- Revolut ensures transparent data handling practices for applicants, as outlined in its Data Privacy Statement for Candidates.
- Employee Benefits:
- Offers financial incentives that recognize the contributions of team members.
- Flexible work options, with the choice to work from home, office, or even abroad.
- A complimentary Revolut Metal subscription providing exclusive benefits.
- Regular team events to promote team bonding and culture-building throughout the year.
Please click here to apply.
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