Capco Company Hiring For Junior Data Analytics | Freshers are eligible to apply for the job role and organizing an off campus recruitment drive. Below are the Job description, Eligibility, and Other details.
Job Description :-
| Company Name: | Capco |
| Job Role: | Junior Data Analytics |
| Qualification: | Bachelor’s Degree |
| Experience: | Freshers/Experienced |
| Batch: | 2020/20201/2022/2023/2024 |
| Location: | Across India |
| CTC/Salary: | INR 4-7 LPA (Expected) |
WHY JOIN CAPCO?
You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.
MAKE AN IMPACT
Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.
#BEYOURSELFATWORK
Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.
CAREER ADVANCEMENT
With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.
DIVERSITY & INCLUSION
We believe that diversity of people and perspective gives us a competitive advantage.
MAKE AN IMPACT
Job Description Role Data Analyst
Requirements:
- Educational Background: A degree in Computer Science, Data Science, Statistics, or a related field.
- Experience: Proven experience in developing and deploying AI/ML models in a business environment.
- Technical Skills: Proficiency in programming languages such as Python or R, and experience with AI/ML frameworks like TensorFlow or PyTorch.
- Analytical Skills: Strong analytical and problem-solving skills with the ability to interpret complex data.
- Communication Skills: Excellent verbal and written communication skills to effectively convey technical information to non-technical stakeholders.
- Attention to Detail: High level of accuracy and attention to detail in data analysis and model development.
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