Senior Data Scientist Job in Finbox

Senior Data Scientist | FinBox | Gurgaon

Location: Gurgaon

Experience: 6-8 Years

About FinBox

FinBox is a cutting-edge fintech company that is reshaping how financial services are provided to businesses and consumers. Since our launch in 2017, we ve developed some of the most innovative technologies in the financial services space, enabling lenders such as Banks, NBFCs, and large enterprises to create and launch credit products in just days. As a Series A-funded company, we are expanding globally with offices in India, Vietnam, Indonesia, and the Philippines.

Our mission is to build the best-in-class infrastructure for lending products, helping financial services companies scale and launch credit programs that set new standards in the era of digital finance. We've helped our clients disburse billions of dollars in credit, covering a wide range of unsecured and secured products like personal loans, business loans, mortgages, and education loans.

We ve made a significant impact, supporting over 100 companies and serving millions of customers every month.

Why You Should Join FinBox:

• Innovative Environment: We foster a culture of creativity and experimentation, encouraging our team to push the boundaries of what s possible in fintech.
• Impactful Work: Your work will directly influence millions of lives by making credit more accessible to individuals and businesses.
• Growth Opportunities: As a Series A-funded startup, we offer numerous opportunities for professional development and career advancement.
• Collaborative Culture: Be part of a diverse, inclusive team of experts who are passionate about making a difference and supporting each other.

Role Overview:

As a Senior Data Scientist at FinBox, you will work at the intersection of data and business, helping to deliver impactful solutions in the lending space. You will be responsible for analyzing large datasets, extracting meaningful insights, and applying advanced data science techniques to improve products and drive business results.

Key Responsibilities:

• Data Analysis & Insights Generation: Analyze big data to produce actionable insights that directly contribute to product improvements and business outcomes.
• Model Building & Experimentation: Develop and deploy algorithms to extract useful information from large datasets. Use statistical analysis and machine learning techniques to create predictive models.
• Data Visualization & Reporting: Create interactive dashboards and visualizations to help monitor key metrics and inform stakeholders. Automate report generation using data visualization tools.
• Collaborate with Teams: Work closely with business teams to translate customer requirements into problem definitions and develop algorithmic solutions to address business challenges.
• Data Processing & Pre-processing: Gather, clean, and preprocess relevant data for insight generation and model building.
• Present Complex Results: Distill complex analysis into simple, clear visualizations and explanations for stakeholders at all levels.
• Apply Data Science Techniques: Use techniques such as exploratory data analysis (EDA), regression analysis, decision trees, clustering, survival analysis, and more.
• Continuous Improvement: Apply iterative analytics to steer the continuous improvement of products and algorithms.

Who You Are:

• Analytical Thinker: You have strong analytical skills and a passion for deriving actionable insights from complex data.
• Technical Proficiency: Proficient in Python, R, SQL, and Excel. Familiarity with AWS and Git is highly preferred.
• Data Science Knowledge: Solid understanding of statistical concepts, machine learning models, and algorithms. Knowledge of data science tools and techniques for large-scale data analysis.
• Data Visualization Expert: You can create clear and impactful visualizations to communicate findings effectively.
• Problem Solver: You thrive on tackling ambiguous problems and developing innovative solutions that directly impact the business.
• Collaborative: You enjoy working in a team environment and are able to translate technical concepts into business-friendly language for diverse audiences.

Desired Qualifications:

• 6-8 years of experience in data science with a focus on machine learning and statistical modeling.
• Expertise in Python, R, SQL, and Excel for data analysis and visualization.
• Experience with AWS, Git, and other cloud-based technologies.
• Solid understanding of statistical concepts, machine learning algorithms, and model deployment.
• Experience with data visualization tools and creating dashboards.
• Ability to effectively communicate complex results to non-technical stakeholders.

Why FinBox?

• Innovative Culture: At FinBox, we love disruption and creativity. Here, you can take ownership and contribute ideas that directly impact our product and the industry.
• Global Impact: Work on high-impact projects with global customers, improving access to credit for millions.
• Career Growth: FinBox offers a fast-paced, dynamic environment where you can rapidly grow your career.
• Collaboration & Diversity: Join a team of talented, passionate people who value collaboration and diverse perspectives.

If you re ready to make a real difference in fintech and enjoy solving complex problems with data science, apply now to be part of the FinBox team!