KreditBee - Senior Data Scientist - SQL/Python (2-5 yrs)

About Company :

KreditBee is India's largest fintech lending platform with a current monthly disbursement of over - 2200 Crores. It has 70 Million+ downloads on Google Play Store and over 85 Lakh unique loan customers. It offers various financial services digitally including but not limited to Personal Loans, Business Loans, Loan against property (LAP), DigiGold investment, Insurance, Credit Score Report, and Expense Tracker. The group entity has an in-house RBI registered NBFC, and is currently Series-D funded with marquee investors like Premji Invest, Advent International, Motilal Oswal Private Equity, MUFG and TPG-backed NewQuest, among others.

Job Description :

Roles and Responsibilities for Senior Data Scientist :

Data-Driven Analysis and Model Building :

- Lead and oversee the creation, deployment, and continuous improvement of data models and analytical systems that optimize business operations.

- Utilize advanced machine learning and statistical models to address complex business problems and improve decision-making processes.

- Ensure that all models and analyses are reproducible, scalable, and sustainable for long-term use.

Automation of Analytical Processes :

- Design and build automation tools to streamline data preparation, model training, testing, and deployment, improving overall efficiency.

- Collaborate with software engineers and other technical teams to implement automation solutions that can be leveraged across the organization.

- Work towards reducing manual interventions and improving data pipeline processes by integrating automation at various stages of the analysis workflow.

Cross-Team Collaboration for Actionable Insights :

- Collaborate with different teams (e.g., business units, product teams, operations) to understand their challenges, identify opportunities, and deliver data-driven solutions that offer actionable insights.

- Provide guidance and mentorship to junior team members, enabling them to extract valuable insights from data and build predictive models.

- Communicate complex technical results and model findings in a clear and concise manner to non-technical stakeholders, ensuring alignment between technical and business goals.

Data Sourcing and Integration :

- Work with both internal and external data sources to gather the necessary data for analysis, ensuring its quality, reliability, and relevance to business needs.

- Evaluate and integrate new data sources that can enhance existing models or contribute to new initiatives.

- Create efficient processes for managing and cleaning large volumes of data from various sources to make it usable for analysis and model development.

Developing Reliable Solutions :

- Develop robust, scalable data solutions that support ongoing business analytics efforts, ensuring high availability and accuracy.

- Create predictive models, statistical analyses, and simulations that help businesses forecast trends, identify patterns, and make informed decisions.

- Take ownership of the end-to-end lifecycle of data solutions, from initial conception and experimentation to implementation and monitoring of performance.

Requirements :

- 5+ years of experience in analytics filed having Bachelors or Masters in a quantitative field

- Ability to program in python/SQL and proven problem solving and debugging skills, familiar with database technologies and tools

- Statistical knowledge of standard modelling concepts and techniques : Linear Regression, Classification models(Logistic, Random forest, clustering, Boosting methods), Neural Networks and Ensembles methods

Technical Skill :

- Python

- SQL

- AWS

Qualification : B.E / B. Tech

Notice Period: Immediate or 15 Days

Disclaimer :

This job description is intended to outline the general nature and key responsibilities of the position. It is not intended to be an exhaustive list of all duties, responsibilities, or qualifications associated with the role. The responsibilities and qualifications described may be subject to change, and other duties may be assigned as needed. Employment is at-will, meaning the employee or the employer may terminate the employment relationship at any time, with or without cause, and with or without notice.

Data Utilization Disclaimer :

By applying for this position, you acknowledge and agree that any personal data you provide may be used for recruitment and employment purposes. The data collected will be stored and processed in accordance with our privacy policy and applicable data protection laws. Your information will only be shared with relevant internal stakeholders and will not be disclosed to third parties without your consent, unless required by law.