TransUnion is hiring for an FRESHER entry level Analyst, Data Science and Analytics role in India

Position: Analyst, Data Science and Analytics

Company: TransUnion

Location: Pune, India

Job type: Full-time

Job mode: Hybrid

Job requisition id: 19042709

Years of experience: 0-3 Years

Company Description

• TransUnion is a world-renowned global information and insights company operating in over 30 countries with more than 12,000 associates dedicated to driving economic opportunities across global markets.

• The company specializes in creating an actionable, accurate picture of individual consumers to establish trust in every financial and commercial transaction made across modern business sectors.

• TransUnion extends beyond traditional credit reporting mechanisms by continuously investing in advanced technologies, analytics, strategic corporate acquisitions, and modern data infrastructures.

• The core operating philosophy revolves around Information for Good, empowering businesses to transact with full confidence while supporting economic growth for millions of consumers globally.

• The organization nurtures a Work Force for Good culture, empowering employees with continuous professional growth opportunities, modern tools, and an inclusive, flexible workspace ecosystem.

• Operating with advanced capabilities in marketing, risk evaluation, fraud prevention, and predictive modeling, TransUnion remains at the forefront of big data engineering and modern decision science solutions.

• Employees enjoy strong work-life balance initiatives alongside structured professional learning paths designed to foster individual development and cross-functional leadership growth across continents.

• By bridging data systems and human insight, TransUnion reliably represents individuals worldwide, enabling seamless consumer experiences, enhanced financial inclusion, and powerful risk management framework deployments.

Profile Overview

• The Analyst position within the Data Science and Analytics team is dedicated to designing, building, and deploying sophisticated predictive models, analytical tools, and business intelligence solutions for global clients.

• Situated under the Product Analytics Leadership umbrella, this role operates within the broader Global Data Science and Analytics division to address complex analytical challenges across retail, insurance, and financial services.

• The professional in this role will participate across the full analytical project lifecycle, executing descriptive, predictive, and prescriptive analytics initiatives that drive strategic decision-making and product enhancement.

• Key functions include building data processing pipelines, implementing machine learning models, conducting statistical segmentation, and executing advanced algorithms using Python and R programming languages.

• The analyst will actively conduct credit scorecard developments, portfolio reviews, affordability analytics assessments, performance monitoring, and targeted ad hoc analytical studies using large-scale enterprise datasets.

• In addition to technical execution, the role emphasizes cross-functional collaboration with project managers, global analytics teams, product managers, and business stakeholders to maintain high quality standards.

• The position mandates strong communication capabilities to synthesize technical findings into clear, actionable business recommendations presented directly to internal executives and external client leadership teams.

• Operating in a hybrid working arrangement, the associate will regularly collaborate virtually while working in-person at the Pune office location for a minimum of two days every week.

• The role provides an extraordinary entry-level platform to work alongside leading analytics experts, utilizing big data architectures, cloud computing systems, and cutting-edge machine learning tools.

• Through active participation in bureau data submissions, retrospective analytical evaluations, and scorecard validations, the analyst plays a direct role in elevating overall data reliability and business success.

• Candidates will experience a continuous learning environment with exposure to multi-industry consumer behaviors, risk modeling techniques, and end-to-end data science application workflows.

• The position serves as an ideal launchpad for analytical professionals seeking long-term career growth, high-impact business projects, and direct ownership of innovative predictive products.

Qualifications

• Educational background requires a Bachelor's degree in Statistics, Mathematics, Data Science, Business Analytics, Economics, or a related quantitative discipline.

• Equivalent practical and professional experience across enterprise analytics, financial risk management, or formal model governance frameworks will also be fully considered.

• Fundamental practical or theoretical background in predictive modeling, statistical analysis frameworks, data mining, and advanced data science methodologies.

• Demonstrated hands-on programming skill set utilizing R, Python, or both to process datasets, write statistical scripts, and build functional analytical workflows.

• Solid baseline knowledge of foundational machine learning algorithms, artificial intelligence frameworks, data extraction techniques, and customer segmentation practices.

• Experience or coursework handling large-scale unstructured or structured datasets within modern cloud computing or big data database environments.

• Practical familiarity or foundational understanding of credit risk analytics, financial scorecard development, portfolio performance metrics, and affordability models is strongly preferred.

• Strong logical reasoning capabilities combined with structured problem-solving skills to convert raw data metrics into coherent business recommendations.

• Ability to design clean, reproducible analytical programs, maintain structured documentation, and execute quality assurance checks across complex data projects.

• Proficiency in creating presentation decks, business dashboards, and data visualization deliverables for technical and non-technical stakeholder groups.

• Demonstrated capacity to work efficiently in time-sensitive project environments while maintaining rigorous focus on analytical accuracy and quality standards.

• Strong interpersonal capabilities with a collaborative mindset suitable for multi-disciplinary project teams and international analytical engagements.

• High adaptability to learn new analytical methodologies, software libraries, cloud analytical tools, and evolving domain practices within financial technology.

• Willingness to adhere to hybrid work scheduling commitments by contributing effectively during both virtual remote days and required in-office work sessions.

• Familiarity with transactional data schemas, relational databases, data query languages like SQL, and automated data pipeline principles.

• Commitment to ethical data usage standards, privacy regulations, and compliance principles governing consumer information handling across global financial jurisdictions.

Additional Info

• The Data Science and Analytics division operates as a strategic consultancy and product development unit delivering client-facing solutions across multiple global industry verticals.

• The team leverages modern cloud computing platforms, high-performance distributed computing systems, and advanced AI techniques to revolutionize traditional credit reporting and risk mitigation.

• Associates regularly engage in high-impact consulting sales engagements, developing customized scorecard frameworks, risk management tools, and affordability assessment systems tailored to specific client needs.

• The hybrid working arrangement offers flexibility by balancing virtual remote work days with structured, face-to-face team collaboration at TransUnion's assigned office facility.

• TransUnion maintains a proactive workplace stance regarding associate safety, career empowerment, health resources, continuous learning platforms, and global inclusion policies.

• The candidate will gain hands-on operational experience across global financial standards, gaining valuable technical knowledge in consumer risk, marketing analytics, and fraud evaluation strategies.

• Internal career paths provide clear trajectories for advancement into Senior Analyst, Analytics Manager, and specialized Data Science Leadership roles within the global organization.

• TransUnion actively guards against career scams and recruitment fraud, reminding applicants that all official communications originate strictly through authorized organizational channels.

• The company prioritizes personal and professional associate growth through flexible leave policies, mentorship programs, global innovation hackathons, and cross-border project assignments.

• Working within this team guarantees direct exposure to high-volume transaction analytics that directly influence economic growth, enterprise credit decisions, and market transparency globally.

• Associates benefit from working alongside experienced quantitative researchers and software architects, promoting rapid technical skill acquisition across modern data stacks.

• The organizational ecosystem fosters active knowledge-sharing through global analytics summits, specialized internal training academies, and standardized code repositories.

• The analytical deliverables generated by this role directly inform product roadmaps, establishing industry benchmarks for credit decisioning, risk evaluation, and portfolio management.

• Joining TransUnion connects professionals to a purpose-driven workforce committed to delivering positive community impacts through equitable, accessible financial intelligence tools.

Please click here to apply.