Job Description
We're hiring an AI & BI Technical Specialist to join our growing AI for Business Intelligence team - if this sounds like your kind of work, read on.
You'll be working out of Kochi (hybrid), and honestly, the day-to-day is going to revolve around AI for Business Intelligence and Python. We're not looking for someone who just ticks boxes - we want someone who actually cares about ai for business intelligence.
On paper, we'd expect M.Sc (Data Science) and somewhere around 7 years of experience, but we're just as interested in how you think as in what's on your resume.
Pay-wise, we're offering INR 16.0-32.1 LPA - fair for the mid level band and open to discussion based on what you bring.
Most days include at least one review checkpoint where progress is discussed against the plan for the week. Interested candidates should be prepared to walk through relevant past work during the interview process.
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
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 organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
The organisation has historically promoted from within for a majority of its senior and lead openings. The package is structured with a fixed component, performance bonus, and standard health coverage.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. The next logical step from this position is a senior or lead-track role within the same function.
Compensation includes standard statutory benefits along with performance-linked variable pay. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
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. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable.
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Mornings are usually spent on planning and status reviews, while the rest of the day is given over to hands-on delivery and problem-solving.
Internal job postings are open to employees who've completed a minimum tenure in their current role. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
You'll be working out of Kochi (hybrid), and honestly, the day-to-day is going to revolve around AI for Business Intelligence and Python. We're not looking for someone who just ticks boxes - we want someone who actually cares about ai for business intelligence.
On paper, we'd expect M.Sc (Data Science) and somewhere around 7 years of experience, but we're just as interested in how you think as in what's on your resume.
Pay-wise, we're offering INR 16.0-32.1 LPA - fair for the mid level band and open to discussion based on what you bring.
Most days include at least one review checkpoint where progress is discussed against the plan for the week. Interested candidates should be prepared to walk through relevant past work during the interview process.
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
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 organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
The organisation has historically promoted from within for a majority of its senior and lead openings. The package is structured with a fixed component, performance bonus, and standard health coverage.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. The next logical step from this position is a senior or lead-track role within the same function.
Compensation includes standard statutory benefits along with performance-linked variable pay. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
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. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable.
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Mornings are usually spent on planning and status reviews, while the rest of the day is given over to hands-on delivery and problem-solving.
Internal job postings are open to employees who've completed a minimum tenure in their current role. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.