Fractal Off Campus Hiring – Imagineer (Hiring Women in Tech) – 2025 year of passing. Interested Candidates can go through the details and apply using the link provided at the bottom of the Post.
Fractal Off Campus Hiring – Imagineer (Hiring Women in Tech) – 2025 year of passing
Company name | Fractal Analytics |
Website | www.Fractal.ai |
Job Role | Imagineer (Hiring Women in Tech) – 2025 year of passing |
Work Location | Mumbai, Pune, Chennai, Bengaluru, Gurgaon |
Job Type | Full time |
Experience | Freshers/ students |
Qualification | B.Tech (Circuit branches – CS, IT, EEE, ECE), B.Sc (IT, CS, Stats, Math, Eco), MCA, BCA |
Batch | 2025 |
Package | INR 6 – 7.4 LPA(Estimated) |
Job Description
Fractal Off Campus Hiring – Imagineer (Hiring Women in Tech) – 2025 year of passing
Eligibility Criteria:
- Graduation Year: 2025
- Academic Performance:
- For B.Tech and MCA: A minimum of 7.0 CGPA (or equivalent) throughout all academic stages.
- For B.Sc and BCA: A minimum of 6.5 CGPA (or equivalent) across all academic levels.
- No active backlogs are permitted.
- Eligible Disciplines:
- B.Tech: Circuit branches including Computer Science (CS), Information Technology (IT), Electrical and Electronics Engineering (EEE), and Electronics and Communication Engineering (ECE).
- B.Sc: Specializations in IT, Computer Science, Statistics, Mathematics, or Economics.
- MCA and BCA graduates.
Selection Process:
- Aptitude Test: Duration – 75 minutes.
- Coding Round: Duration – 60 to 90 minutes.
- Interviews: Three stages focused on Technical skills, Business Understanding, and HR.
- Note: Each interview stage is an elimination round.
Recruitment Timeline:
- Application Screening: December 26, 2024 – January 8, 2025
- Online Test: January 9–14, 2025
- Interviews: From January 16, 2025, onward
Compensation Details:
For B.Tech/MCA Graduates:
- Total Compensation (3 Years): ₹22 LPA
- Year 1: ₹6 LPA + ₹1 Lakh Joining Bonus (subject to a 12-month clawback).
- Year 2: ₹6.6 LPA
- Year 3: ₹7.4 LPA + ₹1 Lakh Retention Bonus (subject to a 12-month clawback).
- Retention Bonus Breakdown: ₹50,000 paid with the 25th-month salary. The remaining ₹50,000 is distributed upon achieving two promotions within the program tenure, based on performance. If promotions are delayed, this amount is forfeited.
For B.Sc/BCA Graduates:
- Total Compensation (3 Years): ₹21 LPA
- Year 1: ₹5.5 LPA + ₹1 Lakh Joining Bonus (subject to a 12-month clawback).
- Year 2: ₹6.25 LPA
- Year 3: ₹7.25 LPA + ₹1 Lakh Retention Bonus (subject to a 12-month clawback).
- Retention Bonus Breakdown: ₹50,000 paid with the 25th-month salary. The remaining ₹50,000 is distributed upon achieving two promotions within the program tenure, based on performance. If promotions are delayed, this amount is forfeited.
Work Location and Joining:
- Locations: Mumbai, Bengaluru, Gurgaon, Chennai, Pune, or Noida
- Start Date: Between July and September 2025
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Fractal Off Campus Hiring – Summer Intern 2025
Company name | Fractal Analytics |
Website | www.Fractal.ai |
Job Role | Summer Intern 2025 |
Work Location | Mumbai, Pune, Chennai, Bengaluru, Gurgaon |
Job Type | Full time |
Experience | Freshers/ students |
Qualification | B.Tech students from all branches |
Batch | 2026 |
Package | Up to INR 6 LPA(Estimated) |
Job Description
Fractal Off Campus Hiring – Summer Intern 2025
Position: Summer Intern
Internship Program Overview
- Duration: 2 months
- Graduation Year: 2026
- Eligibility: B.Tech students from all branches
- Start Date: May/June 2025
- Work Areas: Interns will be assigned tasks like research, dashboard creation, prototype development, programming, etc., depending on business requirements.
- Locations: Mumbai, Bengaluru, Gurgaon, Chennai, Pune
- Type: Paid internship
- Mode: Hybrid
- Note: Accommodation and relocation assistance are not part of this program.
Required Skills:
- Excellent communication abilities
- Strong problem-solving aptitude
- Proficient analytical skills
- Knowledge of Python, Java, C++, AI/ML, etc., is a plus
- A proactive attitude towards learning
- Flexibility to manage varied tasks
- Dedication to achieving results
Selection Process:
- Assessment: Includes aptitude and coding tests
- Interviews: Conducted for both technical and HR rounds, with each stage being eliminative
Key Dates:
- Application Screening: 17th to 31st December
- Online Assessment: 1st to 8th January 2025
- Interviews: Starting from 10th January 2025
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How to Apply?
- To apply for a job, read through all information provided on the job listing page carefully.
- Look for the apply link on the job listing page, usually located somewhere on the page.
- Clicking on the apply link will take you to the company’s application portal.
- Enter your personal details and any other information requested by the company in the application portal.
- Pay close attention to the instructions provided and fill out all necessary fields accurately and completely.
- Double-check all the information provided before submitting the application.
- Ensure that your contact information is correct and up-to-date, and accurately reflect your qualifications and experience.
- Submitting an application with incorrect or incomplete information could harm your chances of being selected for an interview.
About Fractal Analytics
Fractal Analytics is a leading global provider of advanced analytics and artificial intelligence solutions. Renowned for its innovative approach to data science, Fractal Analytics empowers organizations across various industries to make data-driven decisions that drive business growth. The company specializes in leveraging cutting-edge technologies, including machine learning and predictive analytics, to unlock valuable insights from complex datasets. With a commitment to delivering actionable intelligence, Fractal Analytics plays a pivotal role in transforming raw data into strategic assets for its clients. Through a combination of expertise, technology, and industry knowledge, Fractal Analytics continues to be at the forefront of driving analytical excellence and helping businesses thrive in the rapidly evolving landscape of data-driven decision-making.