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Data Scientist (Core) - Job Opportunity at Revolut

Remote, India
Full-time
Senior
Posted: March 5, 2025
Remote
USD 120,000 - 180,000 per year based on Indian market for senior data science roles in global FinTech companies

Benefits

Opportunity to work at a certified Great Place to Work™
Remote work flexibility
Collaborative environment with top-tier professionals
Involvement in cutting-edge FinTech projects
Multicultural and diverse workplace

Key Responsibilities

Lead development and improvement of machine learning algorithms
Drive data-driven product solutions with measurable impact
Research and implement Proof of Concept data products
Collaborate cross-functionally with product, engineering, and data science teams
Develop automated solutions with self-improving algorithms

Requirements

Education

Bachelor's/Master's/PhD in STEM (mathematics, computer science, engineering)

Experience

Experience building and leading a significant data science team within a scaling organisation

Required Skills

Python coding SQL Production tools Probability and statistics fundamentals Big-picture thinking Excellent communication and collaboration skills
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Sauge AI Market Intelligence

Industry Trends

The FinTech sector is experiencing rapid convergence of traditional banking services with AI-driven solutions, creating increased demand for data scientists who can bridge financial domain expertise with advanced machine learning capabilities There's a growing emphasis on automated, self-improving algorithms in financial services, particularly in areas of fraud detection and personalized banking experiences The trend toward super apps in financial services is creating complex data science challenges requiring multi-domain expertise

Role Significance

Likely leading a team of 5-8 data scientists, working within a larger product development organization of 50+ people
Senior leadership position with direct influence on core product development and strategic decision-making

Key Projects

Development of automated risk assessment systems Creation of personalized financial product recommendations Implementation of real-time fraud detection algorithms Design of customer segmentation and behavior analysis models

Success Factors

Strong balance of technical expertise and leadership capabilities Ability to translate complex data science solutions into business impact Experience with rapid iteration and proof-of-concept development Deep understanding of financial services domain Excellent stakeholder management abilities

Market Demand

Very high demand, particularly in FinTech sector where data science roles are increasingly central to product development and risk management

Important Skills

Critical Skills

Advanced machine learning expertise with focus on production implementation Strong statistical foundation for complex financial modeling Python programming with focus on scalable solutions Leadership experience in fast-growing organizations

Beneficial Skills

Additional programming languages (Java, Scala, C++) Anti-fraud expertise Experience in large tech companies Competition achievements in quantitative fields

Unique Aspects

Opportunity to work on a global financial super app
Direct involvement in shaping core financial products
Exposure to diverse international markets
Balance of research and practical implementation

Career Growth

2-3 years in role before advancement opportunity, depending on company growth and performance

Potential Next Roles

Head of Data Science Chief Data Officer VP of Analytics Technical Director

Company Overview

Revolut

Revolut is a leading global FinTech company valued over $33B, serving 50+ million customers with a comprehensive suite of financial services

Top-tier FinTech player with aggressive growth trajectory and strong market presence in Europe and expanding globally
Significant focus on Indian market for technical talent, with remote work opportunities indicating strong global operations
Fast-paced, innovation-focused environment with emphasis on rapid iteration and measurable impact
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