Job Description
**Chief Data Scientist** — Digital Transformation / Data Science (Senior)
- **Location:** Delhi NCR (Gurugram)
- **CTC:** ₹24.5 - ₹42.5 LPA
- **Experience required:** 9-17 years
- **Education:** BBA (preferred)
- **Job type:** Full-Time
- **Posted on:** 01-Jul-2026
**What you'll work on:**
- Applying Process Digitization in day-to-day work within the Data Science function
- Applying Technology Roadmap Planning in day-to-day work within the Data Science function
- Applying Vendor Coordination in day-to-day work within the Data Science function
- Applying Data-driven Decision Making in day-to-day work within the Data Science function
- Applying Stakeholder Management in day-to-day work within the Data Science function
- Applying Project Management (Agile/Waterfall) in day-to-day work within the Data Science function
- Applying Business Process Reengineering in day-to-day work within the Data Science function
- Applying Change Management in day-to-day work within the Data Science function
**What we're looking for:**
- Someone comfortable operating in a digital transformation function helping legacy processes catch up to modern technology
- Strong grip on the fundamentals of data science
- Ability to work full-time out of Delhi NCR (Gurugram)
**A few more things:**
- Expect a mix of independent work and collaborative sessions, with regular check-ins to keep priorities aligned across the team.
- High performers in this role typically move into a broader or more senior position within 18-24 months.
- High performers in this role typically move into a broader or more senior position within 18-24 months.
- Expect a mix of independent work and collaborative sessions, with regular check-ins to keep priorities aligned across the team.
- A typical day starts with reviewing open items from the previous shift, syncing with the immediate team, and prioritising the day's deliverables before diving into focused work blocks.
- No two days look identical — some are heads-down execution days, others are spent almost entirely in stakeholder conversations and reviews.
- High performers in this role typically move into a broader or more senior position within 18-24 months.
- Feedback here is direct and frequent — managers expect you to speak up early rather than sit on a problem.
- There's a clear internal growth path, with regular skip-level reviews and structured career conversations.
- The pace can be demanding during peak cycles, balanced by a genuinely supportive team that helps each other hit deadlines.
- Mornings are usually spent on planning and stand-ups, while the bulk of the afternoon goes into execution, coordination with stakeholders, and troubleshooting whatever comes up.
- No two days look identical — some are heads-down execution days, others are spent almost entirely in stakeholder conversations and reviews.
- A typical day starts with reviewing open items from the previous shift, syncing with the immediate team, and prioritising the day's deliverables before diving into focused work blocks.
- The company invests in upskilling through internal training, certifications support, and cross-team rotations for strong performers.
- The company invests in upskilling through internal training, certifications support, and cross-team rotations for strong performers.
- Mornings are usually spent on planning and stand-ups, while the bulk of the afternoon goes into execution, coordination with stakeholders, and troubleshooting whatever comes up.
We review applications on a rolling basis, so early applications are encouraged.
- **Location:** Delhi NCR (Gurugram)
- **CTC:** ₹24.5 - ₹42.5 LPA
- **Experience required:** 9-17 years
- **Education:** BBA (preferred)
- **Job type:** Full-Time
- **Posted on:** 01-Jul-2026
**What you'll work on:**
- Applying Process Digitization in day-to-day work within the Data Science function
- Applying Technology Roadmap Planning in day-to-day work within the Data Science function
- Applying Vendor Coordination in day-to-day work within the Data Science function
- Applying Data-driven Decision Making in day-to-day work within the Data Science function
- Applying Stakeholder Management in day-to-day work within the Data Science function
- Applying Project Management (Agile/Waterfall) in day-to-day work within the Data Science function
- Applying Business Process Reengineering in day-to-day work within the Data Science function
- Applying Change Management in day-to-day work within the Data Science function
**What we're looking for:**
- Someone comfortable operating in a digital transformation function helping legacy processes catch up to modern technology
- Strong grip on the fundamentals of data science
- Ability to work full-time out of Delhi NCR (Gurugram)
**A few more things:**
- Expect a mix of independent work and collaborative sessions, with regular check-ins to keep priorities aligned across the team.
- High performers in this role typically move into a broader or more senior position within 18-24 months.
- High performers in this role typically move into a broader or more senior position within 18-24 months.
- Expect a mix of independent work and collaborative sessions, with regular check-ins to keep priorities aligned across the team.
- A typical day starts with reviewing open items from the previous shift, syncing with the immediate team, and prioritising the day's deliverables before diving into focused work blocks.
- No two days look identical — some are heads-down execution days, others are spent almost entirely in stakeholder conversations and reviews.
- High performers in this role typically move into a broader or more senior position within 18-24 months.
- Feedback here is direct and frequent — managers expect you to speak up early rather than sit on a problem.
- There's a clear internal growth path, with regular skip-level reviews and structured career conversations.
- The pace can be demanding during peak cycles, balanced by a genuinely supportive team that helps each other hit deadlines.
- Mornings are usually spent on planning and stand-ups, while the bulk of the afternoon goes into execution, coordination with stakeholders, and troubleshooting whatever comes up.
- No two days look identical — some are heads-down execution days, others are spent almost entirely in stakeholder conversations and reviews.
- A typical day starts with reviewing open items from the previous shift, syncing with the immediate team, and prioritising the day's deliverables before diving into focused work blocks.
- The company invests in upskilling through internal training, certifications support, and cross-team rotations for strong performers.
- The company invests in upskilling through internal training, certifications support, and cross-team rotations for strong performers.
- Mornings are usually spent on planning and stand-ups, while the bulk of the afternoon goes into execution, coordination with stakeholders, and troubleshooting whatever comes up.
We review applications on a rolling basis, so early applications are encouraged.