Job Description
Artificial Intelligence (AI) is looking for an experienced Chief Data Scientist – Education AI to take ownership of the AI in Education charter at a senior level. This is a role for someone who has already operated at scale and is comfortable setting direction rather than simply following one.
The successful candidate will bring approximately 13 years of progressively senior experience, holding M.Tech (AI/ML), with a demonstrated track record across Neural Network Architectures, Natural Language Processing, AI in Education, Python, Statistical Modelling. Beyond individual capability, this role expects the person to mentor junior team members and represent the function in cross-departmental discussions.
Reporting relationships will be defined based on the final scope agreed at offer stage, and the role is based out of Gurugram on a full-time arrangement. Compensation is benchmarked at INR 31.4-68.9 LPA, reflecting the seniority and scope of the position.
Success in this role will be measured less by task completion and more by the quality of judgement applied to ambiguous, high-stakes situations within ai in education.
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable.
Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. The package is structured with a fixed component, performance bonus, and standard health coverage.
The next logical step from this position is a senior or lead-track role within the same function. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. High performers in this role typically move into a broader ownership scope within 18-24 months.
New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
Compensation includes standard statutory benefits along with performance-linked variable pay. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
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.
There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Interested candidates should be prepared to walk through relevant past work during the interview process. References may be requested closer to the offer stage rather than at the start of the process.
The organisation has historically promoted from within for a majority of its senior and lead openings. Internal job postings are open to employees who've completed a minimum tenure in their current role.
Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
The successful candidate will bring approximately 13 years of progressively senior experience, holding M.Tech (AI/ML), with a demonstrated track record across Neural Network Architectures, Natural Language Processing, AI in Education, Python, Statistical Modelling. Beyond individual capability, this role expects the person to mentor junior team members and represent the function in cross-departmental discussions.
Reporting relationships will be defined based on the final scope agreed at offer stage, and the role is based out of Gurugram on a full-time arrangement. Compensation is benchmarked at INR 31.4-68.9 LPA, reflecting the seniority and scope of the position.
Success in this role will be measured less by task completion and more by the quality of judgement applied to ambiguous, high-stakes situations within ai in education.
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable.
Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. The package is structured with a fixed component, performance bonus, and standard health coverage.
The next logical step from this position is a senior or lead-track role within the same function. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. High performers in this role typically move into a broader ownership scope within 18-24 months.
New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
Compensation includes standard statutory benefits along with performance-linked variable pay. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
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.
There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Interested candidates should be prepared to walk through relevant past work during the interview process. References may be requested closer to the offer stage rather than at the start of the process.
The organisation has historically promoted from within for a majority of its senior and lead openings. Internal job postings are open to employees who've completed a minimum tenure in their current role.
Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Relocation assistance may be extended for candidates moving from a different city, subject to approval.