Principal Data Scientist Job in Finbox

Principal Data Scientist | FinBox | Gurgaon

Location: Gurgaon

Experience: 8-11 Years

About FinBox

FinBox is at the forefront of transforming the financial services industry with our innovative technologies. Since our inception in 2017, we have empowered lenders, such as Banks, NBFCs, and large enterprises, to build and launch credit products quickly within days rather than months or years. As a Series A funded company, we re expanding globally with offices in India, Vietnam, Indonesia, and the Philippines.

Our mission is to build world-class infrastructure for lending products, helping financial services companies scale and launch credit programs that set a new standard in digital finance. We've already helped our customers disburse billions of dollars in credit across unsecured and secured credit, including personal loans, working capital loans, business loans, mortgages, and education loans, impacting over 5 million customers every month.

Why You Should Join FinBox:

• Innovative Environment: We cultivate creativity and experimentation. We want you to challenge the status quo and push boundaries in fintech.
• Impactful Work: Your contributions will have a direct, positive impact on millions of lives, making credit more accessible to individuals and businesses globally.
• Growth Opportunities: As a Series A-funded startup, FinBox provides tremendous opportunities for career development and professional growth.
• Collaborative Culture: Join a diverse, inclusive, and highly skilled team, all passionate about making a meaningful difference in the fintech world.

Role Overview:

As a Principal Data Scientist at FinBox, you will play a critical role in driving data science initiatives and shaping the direction of data-driven decision-making. You will leverage your deep expertise in machine learning and statistics to design and deploy predictive models, optimize algorithms, and lead experimentation processes that directly impact our products and business strategies. You will work closely with cross-functional teams to translate business requirements into data-driven solutions and collaborate on deploying models at scale.

Key Responsibilities:

• Data Analytics & Insights: Analyze large, complex datasets to generate insights that drive business growth and measure the impact of business decisions.
• Model Development & Experimentation: Design, build, and deploy predictive models, using machine learning techniques such as regression, clustering, decision trees, and survival analysis.
• Algorithm Development: Optimize algorithms to process data efficiently, supporting better decision-making across the business.
• A/B Testing & Experimentation: Lead A/B testing and other experimentation methodologies to refine products and optimize business strategies.
• Data Visualization & Reporting: Create automated dashboards and reports using visualization tools like Tableau or Power BI to clearly communicate insights to stakeholders.
• End-to-End Data Processing: Manage the full lifecycle of data processing from gathering and cleaning data to creating models and deploying them in production.
• Stakeholder Collaboration: Collaborate with product, engineering, and business teams to translate business needs into data-driven solutions.
• Model Deployment: Ensure that machine learning models are effectively deployed at scale and optimized for real-time business applications.

Who You Are:

• Experience: 8+ years of experience in data science, with a proven track record in the finance or fintech industry.
• Technical Expertise: Strong proficiency in Python, R, SQL, and Excel for data analysis, model development, and automation.
• Cloud & Version Control: Proficiency in AWS for cloud-based deployment and Git for version control.
• Advanced Data Science Skills: Expertise in statistical methods and machine learning techniques including regression, clustering, decision trees, bootstrapping, and survival analysis.
• Data Visualization: Extensive experience with data visualization tools like Tableau, Power BI, or open-source libraries (e.g., Matplotlib, Seaborn).
• Problem Solving & Communication: Strong problem-solving skills with the ability to distill complex models into actionable insights for business stakeholders.
• Deployment Experience: Experience in deploying and maintaining machine learning models at scale, focusing on automation, real-time analytics, and continuous improvement.

Why FinBox?

• Innovative Culture: Join a team that is dedicated to pushing the boundaries of what is possible in fintech, with an environment that fosters creativity and experimentation.
• Global Impact: Your work will directly influence the future of financial services, helping millions of customers access fair and accessible credit.
• Career Growth: As a growing startup, FinBox offers substantial opportunities for personal and professional growth.
• Collaborative Team: Work with a team of talented, driven professionals who believe in collaboration, inclusivity, and shared success.