JuicyScore is hiring for an FRESHER entry level Data Scientist role in India

Position:

• Data Scientist specializing in behavioral-scoring engines, risk analytics, and global anti-fraud systems

• Core technical contributor responsible for designing, building, and optimizing advanced machine learning models and data pipelines

• Cross-functional collaborator working alongside international engineering, product, and data teams distributed across multiple continents

• Analytical specialist focused on mitigating digital fraud, safeguarding online transactions, and protecting financial institutions worldwide

Company:

• JuicyScore is a premier, forward-looking global technology organization established in 2015, specializing in advanced anti-fraud solutions for online businesses

• The organization acts as a critical infrastructure backbone, serving lenders, traditional banks, and modern fintech disruptors across Latin America, Asia, Africa, the United States, and Brazil

• Proven industry leader protecting millions of daily transactions by deploying cutting-edge digital behavioral-scoring mechanisms and robust device fingerprinting technologies

• Renowned for delivering exceptional client value, boasting an average client return on investment exceeding ten times alongside robust GINI performance metrics

• Operates a unified enterprise application programming interface seamlessly integrating across both web and mobile channels to provide customized risk scores and deep analytics

• Employs a specialized team of between 51 and 200 professionals dedicated to continuous innovation in digital risk mitigation and device authentication

• Operates proprietary technology utilizing over 200 distinct data attributes and more than 25 various device and user authentication techniques without relying on consumer sensitive personal data

Location:

• India

• Fully remote operational structure allowing professionals to work flexibly from home or designated remote environments across the country

• Seamless integration into a distributed international workflow spanning multiple global time zones and continents

Job type:

• Full-time permanent employment position offering long-term career growth and professional stability within the global fintech and cybersecurity sector

• Comprehensive professional engagement involving continuous model development, performance tuning, and direct impact on global fraud prevention strategies

Job mode:

• Remote work environment enabling complete location independence and flexible daily scheduling tailored to international collaboration needs

• Digital-first workspace utilizing advanced communication tools, collaborative code repositories, and decentralized project management frameworks

Job requisition id:

• Not explicitly specified in the primary recruitment posting 

Years of experience:

• Entry-level professional scope designed for early-career practitioners, recent university graduates, and emerging technical talent

• Designed for individuals possessing between zero to three years of professional experience, basic academic exposure, or demonstrable self-taught technical capabilities

Company description

• JuicyScore operates as a pioneering software development enterprise founded in the year 2015 with a singular mission to eradicate online fraud through advanced data intelligence

• The firm creates sophisticated anti-fraud solutions and behavioral-scoring engines that empower online businesses, lenders, commercial banks, and fintech organizations to operate securely

• Operating on a truly global scale, the company delivers mission-critical protection across diverse geographic regions including Latin America, Asia, Africa, the United States, and Brazil

• By safeguarding millions of financial and commercial transactions every single day, the organization prevents massive financial losses and enhances digital trust for end-users

• The proprietary technological framework provides clients with over 200 rich data attributes gathered through more than 25 distinct device and user authentication techniques

• Core technological offerings include comprehensive antifraud scores, robust device fingerprinting, and long vectors of aggregated data attributes designed for internal credit scoring models

• The enterprise architecture features a unified application programming interface designed to support both web and mobile channels with equal efficiency and low latency

• Clients utilizing these sophisticated tools experience exceptional business value, achieving on average a ten times or greater return on investment alongside high GINI statistical performance

• Beyond automated scoring, the organization provides customized analytics, expert consultation on score modeling, and strategic guidance on complex decision-making systems

• Security and privacy are foundational pillars of the company philosophy, ensuring that operations strictly avoid utilizing personal and consumer sensitive data or direct identifiers

• The organization is scaling rapidly across global markets, creating an environment characterized by fast-paced innovation, high-impact contributions, and dynamic professional growth

• Employee growth rate remains strong and positive, reflecting a thriving internal culture centered on technological excellence, intellectual curiosity, and collaborative problem-solving

Profile overview:

• Seeking an ambitious, highly motivated, and curious Data Scientist to join the distributed international team and contribute directly to global risk-scoring architectures

• The role centers on analyzing massive, large-scale behavioral and device datasets to uncover hidden patterns, anomalies, and emerging fraud vectors

• Selected candidates will actively build, refine, and improve complex mathematical and machine learning models dedicated to fraud detection and risk assessment

• The position requires active collaboration with a diverse group of engineers, data scientists, and risk analysts operating across multiple continents and international time zones

• Candidates are not required to possess extensive industry experience, welcoming individuals with a basic understanding of data analysis, statistics, or programming, combined with a strong willingness to learn

• Intellectual curiosity regarding fraud patterns, digital behavior, and risk modeling is considered a primary driver for success within this organizational structure

• The ideal candidate thrives in autonomous remote settings, demonstrating comfort with asynchronous communication, cross-time zone coordination, and independent problem-solving

• As JuicyScore scales aggressively across international markets, this high-impact role offers a unique opportunity to shape core product capabilities and solve some of fintech's hardest challenges

• Professionals in this capacity will gain hands-on exposure to massive data volumes, advanced behavioral scoring engines, and cutting-edge anti-fraud methodologies

• The position provides an exceptional launching pad for early-career professionals looking to accelerate their technical expertise under the mentorship of seasoned industry veterans

Qualifications:

• Foundational academic background or practical self-taught proficiency in data analysis, applied statistics, computer science, mathematics, or related technical disciplines

• Basic understanding of programming concepts, data structures, and scripting languages commonly used in data science workflows such as Python or R

• Familiarity with fundamental statistical concepts, probability distributions, hypothesis testing, and quantitative optimization techniques

• Demonstrated intellectual curiosity and a passionate interest in understanding fraud patterns, behavioral analytics, and predictive risk modeling

• Comfort and familiarity with working in a fully remote work environment, requiring strong self-discipline, time management, and organizational skills

• Ability to communicate effectively in English, collaborating smoothly with distributed international team members across diverse cultural and geographic backgrounds

• Openness to continuous learning, rapid skill acquisition, and adapting to evolving technological requirements within the fast-paced fintech industry

• Strong attention to detail and analytical rigor when examining large-scale behavioral datasets and identifying subtle data anomalies

• Capacity to handle ambiguity, explore unstructured datasets, and formulate logical hypotheses to solve complex digital security challenges

• Proactive attitude toward problem-solving, taking ownership of assigned tasks, and seeking guidance when encountering novel technical obstacles

• Willingness to embrace flexible working hours to accommodate international team synchronization and cross-border project milestones

• Enthusiasm for contributing to a mission-driven organization dedicated to protecting global financial transactions and enhancing digital trust

Additional info:

• The position represents a rare gateway for entry-level talent to enter the high-demand fields of financial technology, cybersecurity, and advanced data science

• Employees gain direct exposure to multi-region market dynamics, operating across complex regulatory and behavioral landscapes in LatAm, Asia, Africa, and the US

• The company fosters a culture of continuous intellectual growth, encouraging team members to explore innovative approaches to machine learning and behavioral scoring

• Remote work flexibility ensures that team members can maintain a healthy work-life balance while contributing to high-stakes, globally impactful technology solutions

• The organization places high value on data privacy and ethical technology use, ensuring all engineering and data practices align with strict non-sensitive data policies

• Team members benefit from interacting with seasoned professionals across engineering and risk departments, facilitating rapid professional mentorship and skill development

• The rapid scaling of the company ensures that successful contributors have ample opportunity for internal mobility, leadership development, and expanded project scope

• Participation in protecting millions of transactions daily provides a profound sense of purpose and tangible impact on the global digital economy

• The company utilizes modern technological stacks and scalable cloud infrastructures, ensuring that data scientists work with modern tools and robust data pipelines

• Candidates looking to build a resilient, future-proof career in artificial intelligence, machine learning, and fraud prevention will find an ideal training ground at JuicyScore

Please click here to apply.