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Revolut is hiring for a fresher entry level Data Scientist role in India





Position:

  • Data Scientist (Credit)

Company:

  • Revolut

Location:

  • Bangalore, India

  • Sao Paulo, Brazil

  • Remote: Brazil, India

Job Type:

  • Full-time

Job Mode:

  • Hybrid/Remote

Job Requisition ID:

  • Not specified

Years of Experience:

  • Relevant experience in a data science team within a credit institution (even internship works)


Company Description :

  • Revolut is a global fintech company dedicated to revolutionizing financial services by offering innovative products that provide enhanced visibility, control, and freedom over personal finances.

  • Since its inception in 2015, Revolut has expanded rapidly, serving over 50 million customers worldwide with products covering spending, saving, investing, exchanging, and travel.

  • The company attributes its success to a culture of excellence, innovation, and commitment to providing seamless financial solutions.

  • Revolut has a workforce of over 10,000 professionals operating from offices worldwide and remotely, driving the company’s mission forward.

  • Recognized for its outstanding work culture, Revolut is certified as a Great Place to Work™, demonstrating its dedication to employee satisfaction and professional growth.

  • The company thrives on diversity, inclusivity, and a high-performance work environment, making it a sought-after employer in the fintech sector.

  • Revolut is committed to disrupting traditional financial services through data-driven solutions, automation, and cutting-edge technology.

  • The company fosters a work environment where employees are encouraged to push boundaries, innovate, and redefine the landscape of modern finance.

  • With a strong emphasis on results, collaboration, and personal growth, Revolut empowers its employees to make a tangible impact on the industry.


Profile Overview :

  • The Data Science team at Revolut is a critical force driving the company’s success through data-driven decision-making and automation.

  • As a Data Scientist specializing in Credit, you will be responsible for building and improving models that span the entire retail credit lifecycle.

  • The role requires working closely with product managers, engineers, and fellow data scientists to deliver impactful solutions that enhance Revolut’s credit offerings.

  • Responsibilities include analyzing vast datasets, developing machine learning algorithms, and implementing solutions that adapt and improve over time.

  • The ideal candidate will have a strong background in probability, statistics, and data science tools such as Python, SQL, and production technologies.

  • You will be expected to research and deliver proof-of-concept (PoC) solutions that drive product development and efficiency.

  • This role provides an opportunity to solve complex financial problems, influence product strategies, and contribute to Revolut’s mission of financial empowerment.

  • The Data Science team operates with high visibility, ensuring that contributions have a direct impact on business outcomes and customer experiences.

  • By joining this dynamic team, you will be part of a forward-thinking, fast-paced environment where innovation and excellence are paramount.


Qualifications :

  • Educational background in a STEM field (Mathematics, Computer Science, Engineering, or related disciplines), preferably with a Bachelor's, Master’s, or Ph.D.

  • Proficiency in data science tools, including Python for coding, SQL for database management, and production tools for deployment.

  • Strong grasp of probability and statistics, with the ability to apply mathematical concepts to solve real-world financial problems.

  • A problem-solving mindset with the ability to diagnose challenges, conduct in-depth research, and devise innovative solutions.

  • Excellent communication and collaboration skills to effectively work with Product Owners, engineers, and business stakeholders.

  • Ability to build machine learning models tailored to retail credit solutions, ensuring data-driven decision-making within the company.

  • Capacity to work in a high-paced, innovative environment where experimentation, iteration, and continuous learning are encouraged.

  • Understanding of financial products and lending principles, with a keen interest in revolutionizing the fintech industry.

  • Passion for leveraging data science to optimize financial products and improve customer experiences through automation and intelligent algorithms.


Additional Info :

  • Revolut values diversity and inclusion, ensuring that all employees have equal opportunities to thrive and contribute to its mission.

  • The company encourages applications from individuals with diverse backgrounds, experiences, and perspectives.

  • Revolut has implemented a Diversity & Inclusion Framework aimed at fostering a multicultural and dynamic workplace.

  • Job seekers should be cautious of recruitment scams and only apply through official Revolut channels.

  • Communications related to hiring are conducted exclusively through official Revolut email domains (@revolut.com).

  • Revolut does not request any financial information or payment from candidates at any stage of the hiring process.

  • Candidates should report any suspicious hiring activities that deviate from these guidelines.

  • By applying for this position, applicants confirm that all submitted information is accurate and that any false statements may result in application rejection or employment termination.

  • Revolut offers a range of benefits, including financial perks, remote work flexibility, and professional growth opportunities.

  • Employees enjoy access to exclusive perks, such as a free Revolut Metal subscription and year-round team-building events.

  • The company fosters a performance-driven culture where results, resilience, and excellence are highly valued.

  • Revolut operates on principles such as grit, determination, and strategic thinking, ensuring that employees are empowered to excel and contribute to the company’s success.


Key Responsibilities:

Credit Model Development:

  • Build predictive models covering the full lifecycle of retail credit.

  • Enhance existing algorithms and develop new proofs of concept (PoCs) for credit-related data science applications.

  • Conduct rigorous testing and validation of credit models to ensure accuracy and efficiency.

Data-Driven Product Enhancement:

  • Implement data-driven solutions that directly impact Revolut’s financial products.

  • Collaborate with product teams to integrate credit risk insights into business strategies.

  • Utilize advanced data analytics to optimize lending and credit evaluation processes.

Research and Innovation:

  • Conduct deep data analysis to understand customer behaviors and improve credit solutions.

  • Design and test machine learning models that evolve and self-improve over time.

  • Stay updated with industry trends and emerging technologies in fintech and credit modeling.

Cross-Functional Collaboration:

  • Work closely with engineers, product managers, and data scientists to solve complex problems.

  • Provide strategic recommendations based on data insights to drive business growth.

  • Ensure smooth communication between technical and non-technical teams.


Company Culture and Values:

Get It Done:

  • Revoluters prioritize results over excuses, demonstrating resilience and determination to overcome challenges.

Deliver WOW:

  • The company values customer-centric innovation, creating solutions that simplify financial management and enhance user experiences.

Dream Team:

  • Revolut focuses on hiring, coaching, and retaining top talent while fostering a supportive and high-performance work environment.

Never Settle:

  • Employees strive for excellence, continuously improving and pushing boundaries in their respective domains.

Think Deeper:

  • Decision-making is based on logic, reason, and thorough analysis, ensuring well-informed and effective strategies.


Benefits at Revolut:

  • Competitive financial benefits recognizing employee contributions and dedication.

  • Flexible work arrangements, including remote work opportunities and office-based options.

  • Complimentary Revolut Metal subscription, offering exclusive perks and benefits.

  • Access to networking and team-building events throughout the year.

  • A culture that promotes continuous learning, professional development, and career advancement.


By joining Revolut, you will be part of a forward-thinking company that values innovation, excellence, and data-driven decision-making. If you have a passion for leveraging data science in the fintech industry, this role provides an exciting opportunity to make a real impact on the future of financial services.


Please click here to apply.


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