Active Listing πŸŽ“ B.Sc. πŸŽ“ B.Tech πŸŽ“ M.Sc. πŸŽ“ M.Tech

Computer/ Data Science Expert Recruitment 2026

Redhakhol Forest Division
Total Vacancies
1
Job Location
Redhakhol, Odisha, India
Apply Deadline
12 Aug 2026
πŸ“‹ Recruitment Overview
Organization Redhakhol Forest Division (RFD)
Job Category Technical
Eligibility Qualification B.Sc. (bsc), B.Tech (btech), M.Sc. (msc), M.Tech (mtech)
Number of Vacancies 1 Posts
Salary / Pay Scale β‚Ή36,000 - β‚Ή36,000 Per Month
Age Limits Maximum 35 Years
Gender Eligibility both
Experience Required Preference will be given to candidates with experience in application development, server management, and AI/ML tools. Experience in forest department operations is an added advantage.
Application Fee No application fee is applicable for this recruitment as per the official notification.
πŸ“„ Details & Description
Recruitment drive for the position of Computer/ Data Science Expert in Redhakhol Forest Division, Odisha.
Opportunity for candidates with expertise in computer science, IT, or data science to contribute to forest management and data-driven decision-making.
Stable government job with a competitive monthly stipend of Rs. 36,000.
Preference given to candidates with experience in application development, server management, and AI/ML tools.
Contract-based position with a focus on modernizing forest division operations through technology.
πŸŽ“ Eligibility Criteria
Bachelor’s degree (B.E./B.Tech) in Computer Science & Engineering, Information Technology (IT), Data Science, or related disciplines from a recognized university.
OR Postgraduate degree (M.E./M.Tech, M.Sc) in Computer Science & Engineering, IT, Data Science, or related fields from a recognized university.
Knowledge of application development, server management, and programming/scripting languages such as Python, SQL, and JavaScript.
Familiarity with AI/ML, LLM, and data tools is highly desirable.
Candidates with prior experience in forest department operations will be given preference.
βš™οΈ Selection Process
Selection will be based on academic qualifications, with preference to relevant work experience.
Shortlisted candidates will be called for an interview for final selection.
Candidates must bring original and self-attested copies of educational certificates, work experience proofs, and age verification documents for verification.
A brief write-up on previous experience must be submitted along with the resume.
The date and venue of the interview will be communicated to shortlisted candidates via email.
🏷️ Category Eligibility & Reservations
All categories (General, OBC, SC, ST, EWS) are eligible. Age relaxation of 5 years is provided for SC/ST/SEBC candidates.
πŸ“‚ Required Documents
Educational qualification certificates and mark sheets.
Work experience certificates (if applicable).
Proof of age (birth certificate, 10th mark sheet, etc.).
Community certificate (for candidates claiming age relaxation).
Self-attested photocopies of all documents.
Brief write-up on previous experience (if applicable).
πŸ’³ Application Fee Details
No application fee is applicable for this recruitment as per the official notification.
❓ Frequently Asked Questions
Q. What is the last date to apply for the Computer/ Data Science Expert post?
The last date to submit the online application for the Computer/ Data Science Expert position at Redhakhol Forest Division is 12 August 2026.
Q. What is the educational qualification required for this post?
Candidates need to have a B.E./B.Tech in Computer Science & Engineering, IT, Data Science or related fields, or a Postgraduate degree in Computer Science & Engineering or related fields from a recognized university.
Q. What is the age limit for the Computer/ Data Science Expert position?
The upper age limit is 35 years as of 01.01.2026. Age relaxation is provided for SC/ST/SEBC candidates.
Q. What is the salary offered for the Computer/ Data Science Expert role?
The selected candidate will receive a consolidated salary of Rs. 36,000/- per month.
Q. How will the candidates be selected for this post?
Selection will be based on academic qualifications, with preference given to relevant work experience and performance in the interview.