Revoult Work from Home; Hiring Credit Data Scientist – Apply Now

Work from Home Jobs for Credit Data Scientist 2025!!!

Revoult announced job vacancy for the post of Data Scientist (Credit). The place of posting will be at Remote (WFH). Candidates who have completed Graduate / Post Graduate / PhD with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows

Name of the Company	Revoult
Required Qualifications	Graduate / Post Graduate / PhD
Skills	Retail Credit lifecycle, Researching
Work Type	Remote (WFH)
Official Website	revolut.com

They approach Data Science at Revolut the same way that they approach everything else – with class, logical thinking, and lots of style. Let’s break it down: they take the most complex problems and create tailor-made solutions for our customers. If you’re thinking the Data team is kept in some sort of a secret den, doomed to never see the impact of their work, don’t worry - that’s not how they do things. They’re some of their best and brightest problem-solvers, deployed to the front lines to work in product teams and deliver rockstar solutions

Θ Positions: Data Scientist (Credit)

Θ Job Location: Remote (WFH)

Θ Salary: As per company Norms

Θ Job Type: Full Time

Θ Requisition ID:

Required Skills & Qualifications:

• Experience working in a data science team of a credit institution
• A Bachelor's/Master's/PhD in STEM (Mathematics, Computer Science, Engineering)
• Excellent knowledge of data science tools, including, python coding, SQL and production tools
• A deep understanding of probability and statistics fundamentals
• A big-picture mindset to correctly diagnose problems, produce research, and discover solutions
• Excellent communication and collaboration skills to partner with Product Owners and business heads

Responsibilities:

• Building models for full Retail Credit lifecycle
• Improving existing algorithms and building new Proofs of Concept
• Delivering real impact to the product through rigorous data-driven solutions
• Researching and then delivering PoCs into data products
• Collaborating with product owners, engineers, and data scientists to continually solve complex data problems

 

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