Data Scientist

7 days ago

Gurugram Haryana, India Spring Financial Inc. Full time

**About us**:
Since 2014, Spring Financial has been simplifying the lending process for millions of Canadians facing all types of financial circumstances. Spring offers a growing range of financial products and services which currently include personal loans, mortgages, credit cards and secured loans - all of which are made available to Canadians without having to visit a branch

**What You'll be doing**:

- Create data-driven insights in order to enrich the end user experience
- Participating with other team members throughout the entire lifespan of each project, ensuring that our data-driven solutions are developed, implemented, and optimized to the highest standards of excellence
- Communicate with multiple teams by creating reports in order to share insights and overall data story
- Work alongside senior level stakeholders to scope analytics projects to ensure data science deliveries are driving business impact
- Evaluate consumer fintech data by using various methods and tools including but not limited to; Machine Learning, Statistics, Data Analysis, Quantitative Finance, and Modern Programming
- Facilitate data driven initiatives in the following areas to paint a cohesive data picture:

- Customer Segmentation
- Underwriting
- Lifetime Value Optimization
- Financial product development
- Fraud and Ethical Lending Analysis

**What You Should Already Have**:

- Proficiency in working with SQL, Python across complex real world datasets
- Proficiency in using modern data visualization tools, such as Tableau, PowerBI or similar
- Experience deploying ML models using machine learning as a service platforms such as Amazon SageMaker, Google Cloud AI, and Microsoft Azure
- Excellent written and verbal communication skills
- Aptitude for critical thinking as it relates to complex problems and challenge assumptions in order to implement creative solutions

**What Would Be Nice To Have**:

- Familiarity with related disciplines such as consumer finance, project management, user experience design, software development and digital marketing
- Experience in establishing data technology foundations for agile business intelligence, data lakes and data workbenches, and applied machine learning/AI
- Experience with large-scale data analysis technologies (e.g. Relational and NoSQL data stores, Spark framework, and cloud development in the AWS Ecosystem)
- Specializations and applied experience in the following areas:

- Consumer Credit and Risk Modeling
- Fraud and Anomaly Detection
- Customer Segmentation and Intent Modeling
- Marketing Attribution and Targeting
- Recommendation Engines

This is a truly exciting time to join Spring Financial and we are looking forward to doing great things together

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