Revolut is hiring for a fresher entry level Data Scientist job

Position:

• Title: Data Scientist (Credit)
• Role: Focused on advancing data science within the credit domain, this position is key in shaping the future of financial services apps at Revolut.
• Key Responsibilities:
  • Building and optimizing models for the full Retail Credit lifecycle.
  • Enhancing existing algorithms and developing new Proofs of Concept (PoCs).
  • Applying data-driven solutions to deliver tangible product impact.
  • Collaborating with cross-functional teams to solve complex data problems.
• Required Experience:
  
  
  • Experience in a data science role within a credit institution.
  • Strong proficiency in data science tools such as Python, SQL, and other production tools.
  • In-depth knowledge of probability and statistics.

Company:

• Name: Revolut
• Mission: To provide more control, visibility, and freedom to people through financial services.
• Founded: 2015
• Key Products: Include spending, saving, investing, exchanging, and traveling solutions, among others.
• Global Presence: Serving 45+ million customers worldwide, with a workforce of 10,000+ people.
• Recognition: Certified as a Great Place to Work™.

Location:

• Office: Bangalore, India
• Remote: Flexible remote working options available across India.

Job Type:

• Type: Full-time

Job Mode:

• Mode: Hybrid (combination of in-office and remote work)

Job Requisition ID:

• ID: [Not Provided]

Years of Experience:

• Experience Required: Relevant experience in data science, specifically within the credit domain, is essential (even internship experience works).

Company Description:

• Overview:
  • Revolut is a leading FinTech company that has revolutionized the financial services industry since its inception in 2015. The company's mission is to empower people by providing them with more control, visibility, and freedom over their finances. With a diverse range of products and services, Revolut has become a go-to platform for millions of customers worldwide.
  • At the heart of Revolut's success is its commitment to innovation and its people. The company prides itself on its unique culture, which fosters creativity, collaboration, and excellence. Revolut's dedication to providing an outstanding employee experience has earned it recognition as a Great Place to Work™. With a global workforce of over 10,000 employees, the company continues to push the boundaries of what's possible in financial services.
  • Revolut's product offerings include spending, saving, investing, exchanging, and traveling solutions, all designed to help customers get more from their money. The company's relentless focus on customer satisfaction and its ability to adapt to the ever-changing financial landscape has cemented its position as a leader in the FinTech space.
  • As Revolut continues its rapid growth, the company remains committed to its core values of transparency, integrity, and customer-centricity. By prioritizing diversity and inclusion, Revolut ensures that it attracts and retains the best talent from around the world, further driving its mission to deliver exceptional financial products and services.

Profile Overview:

• Role Responsibilities:
  • As a Data Scientist (Credit) at Revolut, you will be responsible for developing and optimizing models that span the entire Retail Credit lifecycle. This includes building new Proofs of Concept (PoCs) and improving existing algorithms to enhance the accuracy and efficiency of credit-related processes.
  • You will play a crucial role in driving data-driven decision-making by collaborating with product owners, engineers, and fellow data scientists. Your ability to translate complex data problems into actionable solutions will directly impact the product's success and contribute to Revolut's growth.
  • The role requires a deep understanding of data science principles, including probability and statistics, as well as proficiency in tools such as Python and SQL. Your experience in a data science team within a credit institution will be invaluable as you tackle the challenges associated with credit risk and lending.
  • At Revolut, you'll have the opportunity to work on high-impact projects with some of the brightest minds in the industry. Your contributions will help shape the future of financial services apps, making a lasting impact on the company's trajectory.

Qualifications:

• Educational Background:
  • Bachelor's, Master's, or Ph.D. in a STEM field (Mathematics, Computer Science, Engineering).
• Technical Skills:
  • Strong proficiency in Python coding and SQL.
  • Familiarity with production tools used in data science.
  • In-depth knowledge of probability and statistics fundamentals.
• Experience:
  • Previous experience working in a data science team within a credit institution (even internship experience works)
    
• Soft Skills:
  • Ability to diagnose problems accurately and develop effective research-based solutions.
  • Strong communication and collaboration skills, enabling you to work effectively with product owners and business heads.
• Mindset:
  • A big-picture perspective with the ability to identify key issues and develop innovative solutions.

Additional Info:

• Impact:
  • The role offers the opportunity to make a significant impact on Revolut's products, contributing to the development of innovative financial solutions that enhance the customer experience.
• Collaboration:
  • You will work closely with a diverse team of professionals, including product managers, engineers, and other data scientists, to solve complex problems and deliver high-quality solutions.
• Growth Opportunities:
  • As part of Revolut's fast-growing team, you'll have access to numerous opportunities for professional development and career advancement.
• Diversity & Inclusion:
  • Revolut is committed to creating an inclusive workplace that values diversity. The company encourages applications from individuals with diverse backgrounds and experiences to join its multicultural team.
• Data Privacy:
  • Candidates are encouraged to review Revolut's Data Privacy Statement for details on how their data will be handled during the application process.

Please click here to apply.

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