Data Scientist Job in Finbox

Data Scientist | FinBox | Gurgaon

Location: Gurgaon

Experience: 3-6 Years

About FinBox: Where Fintech Meets Fun!

Welcome to FinBox, where technology, innovation, and creativity meet to revolutionize financial services. Since our inception in 2017, we've been on a mission to transform the lending industry by helping lenders like Banks, NBFCs, and enterprises launch credit products faster than ever before. As a Series A funded company, we are growing rapidly with offices in India, Vietnam, Indonesia, and the Philippines.

Our vision is to build world-class infrastructure for lending products that help banks and financial services companies scale globally. We've already helped customers disburse billions of dollars in both unsecured and secured credit, and our solutions are used by over 100 companies, impacting over 5 million customers monthly.

Why Should You be a FinBoxer?

• Innovative Environment: We encourage creativity and experimentation, pushing the boundaries of what's possible in fintech.
• Impactful Work: Your contributions will directly impact the lives of millions, making credit more accessible.
• Growth Opportunities: As a growing Series A startup, we offer ample opportunities for professional development.
• Collaborative Culture: Join a diverse and supportive team that values different perspectives.

Who s a Great FinBoxer?

• Creative Thinkers: We love people who challenge the norm and bring fresh, out-of-the-box ideas.
• Customer Heroes: We need those who understand customer needs and go above and beyond to deliver exceptional experiences.
• Team Players: If you thrive in a collaborative environment and believe in the power of "we," you'll fit right in.

How You'll Contribute to Our Data Science Team:

• Analyze structured and unstructured data to derive meaningful insights.
• Support predictive model development and statistical analyses to guide product decisions.
• Build dashboards and visualizations to monitor and report key business metrics.
• Assist in data gathering, pre-processing, and cleaning to maintain high-quality datasets.
• Conduct exploratory data analysis and hypothesis testing to enable data-driven decision-making.
• Automate reports and develop clear, effective data visualizations.
• Document data processes and findings in a structured, presentable format.
• Collaborate with cross-functional teams to translate business needs into actionable data-driven solutions.
• Apply foundational machine learning techniques, including regression analysis, clustering, and decision trees.

Who You Are:

• Experience: 3+ years in data science, analytics, or a related field.
• Technical Skills: Strong proficiency in Python/R, SQL, and Excel for data manipulation and analysis.
• Visualization: Experience with tools like Tableau, Power BI, or similar for data visualization.
• Additional Skills: Familiarity with AWS, Git, and version control practices is a plus.
• Knowledge: Understanding of statistical concepts and basic machine learning models.
• Mindset: Eagerness to learn, experiment, and grow in a fast-paced, dynamic startup environment.