Job Description
## Risk Data Scientist – Entry Level
**Department:** AI-driven Risk Management | **Industry:** Artificial Intelligence (AI)
**Location:** Bengaluru | **Job Type:** Internship | **CTC:** INR 4.8-11.4 LPA
### Role Overview
We are looking to onboard a Risk Data Scientist – Entry Level to strengthen our AI-driven Risk Management function within Artificial Intelligence (AI). The role is positioned at the junior level and reports into the broader AI-driven Risk Management charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to ai-driven risk management.
- Apply working knowledge of Machine Learning and Data Preprocessing to daily execution.
- Coordinate with cross-functional stakeholders within Artificial Intelligence (AI).
- Maintain documentation and reporting as required by the team lead.
- Flag risks and blockers early rather than at review checkpoints.
### Requirements
- B.Tech (CS/AI) or equivalent qualification.
- 1 years of relevant experience (junior level).
- Working proficiency in: Machine Learning, Data Preprocessing, Python, driven Risk Management, Neural Network Architectures.
### Additional Notes
High performers in this role typically move into a broader ownership scope within 18-24 months. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. References may be requested closer to the offer stage rather than at the start of the process. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. The organisation has historically promoted from within for a majority of its senior and lead openings. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. There is a defined internal mobility path for people who want to specialise deeper or move into people management. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Learning and certification support is available for tools and frameworks directly relevant to the role. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
**Department:** AI-driven Risk Management | **Industry:** Artificial Intelligence (AI)
**Location:** Bengaluru | **Job Type:** Internship | **CTC:** INR 4.8-11.4 LPA
### Role Overview
We are looking to onboard a Risk Data Scientist – Entry Level to strengthen our AI-driven Risk Management function within Artificial Intelligence (AI). The role is positioned at the junior level and reports into the broader AI-driven Risk Management charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to ai-driven risk management.
- Apply working knowledge of Machine Learning and Data Preprocessing to daily execution.
- Coordinate with cross-functional stakeholders within Artificial Intelligence (AI).
- Maintain documentation and reporting as required by the team lead.
- Flag risks and blockers early rather than at review checkpoints.
### Requirements
- B.Tech (CS/AI) or equivalent qualification.
- 1 years of relevant experience (junior level).
- Working proficiency in: Machine Learning, Data Preprocessing, Python, driven Risk Management, Neural Network Architectures.
### Additional Notes
High performers in this role typically move into a broader ownership scope within 18-24 months. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. References may be requested closer to the offer stage rather than at the start of the process. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. The organisation has historically promoted from within for a majority of its senior and lead openings. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. There is a defined internal mobility path for people who want to specialise deeper or move into people management. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Learning and certification support is available for tools and frameworks directly relevant to the role. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.