Credgenics - Data Scientist

About Credgenics:

- Credgenics is India's first of its kind NPA resolution platform backed by credible investors including Accel Partners and Titan Capital.

- We work with financial institutions, Banks, NBFCs & Digital lending firms to improve the efficiency of their collection using technology, automation intelligence and optimal legal routes to facilitate the resolution of stressed assets.

- With all major banks and NBFCs as our clients, our SaaS-based collections platform helps them efficiently improve their NPA, geographic reach and customer experience.

- We count most of India's lending majors as our clients such as ICICI Bank, Axis Bank, Bank of Baroda, etc and have been able to grow 100% MoM consistently even among the pandemic.

Role:

- We're looking for a passionate Data Scientist to join our high-growth team.

- In this role, you will get the opportunity to help build the Data Science vertical for the Collections and Lending space.

What you'll be doing:

- You will be responsible for working within a team of data scientists and data engineers solving the challenges within the debt lifecycle for Banks, NBFCs and FinTech companies operating in the lending space.

- You will provide portfolio insights to clients enabling them to reduce costs and improve their recovery efficiency.

- This opportunity will enable you to deepen your skills, build on your data science knowledge, and work within a global fintech community.

- Identify opportunities to apply the latest advancements in Machine Learning and Artificial Intelligence to build, test, and validate predictive models.

- Create algorithms to extract information from large, multiparametric data sets.

- Deploy your algorithms to production to identify actionable insights from large databases.

- Compare results from various methodologies and recommend best techniques.

- Develop and embed automated processes for predictive model validation, deployment, and implementation.

- Architect ML pipelines and actively contribute high-quality, production-ready code (readable, well-tested, with well-designed APIs).

- Actively mentor Interns and Junior data scientists on good software practices.

What we need:

- An UG/PG degree in Engineering, Statistics, Data Science, Applied Mathematics, Computer Science or related quantitative field.

- 3-5 years of experience in a similar role.

- Intermediate to advanced Python skills.

- Experience with at least one Deep Learning framework such as PyTorch or TensorFlow/Keras.

- Expert understanding of ML best practices.

- Solid understanding of ML/DL methods and architectures and mastery of performance assessment.

- Demonstrated ability to develop novel machine learning methods that go beyond putting together of existing code, and to apply problem-solving skills to complex issues.

- Ability to work autonomously and collaboratively as part of a team to both teach and learn every day.

- Continuously looking for opportunities to learn, build skills and share learning.

- Familiarity with cloud computing services (AWS, GCP, or Azure).