Data Science Lead – NeGD
Quick Info
- Vacancies
- Vacancies: 2
- Qualification
- Qualification: Candidates must possess a B.Tech./B.E., M.Tech./M.S. or M.Sc. in Statistics, Mathematics, Economics, Computer Science, Data Science or a related quantitative discipline. A Ph.D. or published applied work in statistics, econometrics, forecasting or fraud analytics is highly desirable.
- Experience Required
- Experience Required: Minimum 8 years of experience in data science, statistics or applied machine learning (12+ years preferred), with at least 4 years building models in the chosen specialisation used in operational decisions. At least 3 years leading data science teams or projects is also required.
- Application Mode
- Application Mode: Apply Online
- Deadline
- Deadline:
NeGD is seeking two Data Science Leads to head specialized data science teams, focusing on predictive, risk, and anomaly models for government departments. This role offers a competitive pay package for professionals with a B.Tech./B.E., M.Tech./M.S. or M.Sc. in Statistics or a related quantitative discipline, who possess deep statistical depth and sound judgment. It's a critical opportunity to build and validate models with quantified uncertainty, and to explain complex insights to senior decision-makers and investigators, directly impacting operational decisions.
- The Data Science Lead will translate business questions into well-defined problems with clear decision, baseline, and evaluation metrics.
- Candidates will assess data feasibility, including coverage, reporting delays, label quality, leakage, and bias.
- The role involves leading in-house data scientists, reviewing their work, and remaining hands-on in data analysis and model development.
- Demonstrable ownership of at least two predictive, risk, or fraud systems in production, with documented validation and measured outcomes, is essential.
- Applicants should have a minimum of 4 years of experience building models in their chosen specialisation used in operational decisions, with at least 3 years leading data science teams or projects.
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Additional Salary Information
Refer official detailed notification
Important Dates
Selection Process
Screening of applications based on qualifications, age, and relevant experience.
Shortlisted candidates will be invited for interviews.
Application Fees
Refer official detailed notification
Reservation
Refer official detailed notification
How to Apply
- Eligible candidates must apply ONLINE through the official application portal.
- Ensure all required documents, including educational qualifications, experience certificates, and age proof, are ready for upload.
- The application deadline is November 13, 2026. Candidates are advised to apply well in advance to avoid last-minute technical issues.
Frequently Asked Questions
The salary for the Data Science Lead position is not explicitly mentioned in the notification. Candidates are advised to refer to the official detailed notification for pay scale information.
Candidates for the Data Science Lead role must hold a B.Tech./B.E., M.Tech./M.S. or M.Sc. in Statistics, Mathematics, Economics, Computer Science, Data Science or a related quantitative discipline. A Ph.D. or published applied work in statistics, econometrics, forecasting or fraud analytics is highly desirable.
The maximum age limit for the Data Science Lead position is 55 years on the closing date of application.