Capgemini Off Campus Drive For 2023 | 2022 | 2021 | 2020-2018 Batch As Data Scientist Role | Any Bachelor's Degree | All Branches Eligible No Criteria | Salary 8 LPA | Bengaluru, India
Capgemini Off Campus Drive For 2023 | 2022 | 2021 | 2020-2018 Batch As Data Scientist Role | Any Bachelor's Degree | All Branches Eligible No Criteria | Salary 8 LPA | Bengaluru, India:
Capgemini Officially Announced Hiring Freshers Engineering Graduates as Below Mentioned positions.Capgemini Hiring for Data Scientist Role in Bengaluru, India,India Software, and Services For the full time. Capgemini company is going to recruit candidates for graduates off-campus. The candidates who are completed Education UG: Any Graduate PG: Any Postgraduate. in Any Specialization Graduates Engineering Graduates degree in any Streams/Branch Pass out in the Year 2023 | 2022 | 2021 | 2020 | 2019 |2018 Batch Eligible Only batches are Eligible to apply.
In this article, you can easily find the Capgemini address, date of interview, eligibility details, interview syllabus, selection process, application link, and application procedure details explanation is given below.
In this article, you will get to know this drive, and also you can prefer a video that I created for your better understanding firstly understand the few points which I discussed in this video before applying.
For more such Latest new off-campus drives and for many years, internships, and free courses are updated on our website.
Capgemini 2023 Recruitment Drive For Freshers – 2023 to 2019 Batch:
Company Name: Capgemini.
Experience: Freshers/Any
Job Title: Data Scientist
Country/Region: IN
Qualification: Education UG: Any Graduate PG: Any Postgraduate.
Branch: All Branch or Stream Eligible
Job Location: Bengaluru, India.
Year of Passing: 2023 | 2022 | 2021 | 2020 | 2019 |2018 BatchOnly.
Stipend Details: INR ₹ 6,50,000 - 8,50,000 L.P.A
Full-Time/Part-Time:Full-Time Employee
Application Deadline: Not Mentioned.
Job Posted: April 24, 2023.
Company Profile: Summary
Capgemini is a global leader in consulting, digital transformation, technology and engineering services. The Group is at the forefront of innovation to address the entire breadth of clients’ opportunities in the evolving world of cloud, digital and platforms. Building on its strong 50-year+ heritage and deep industry-specific expertise, Capgemini enables organizations to realize their business ambitions through an array of services from strategy to operations. Capgemini is driven by the conviction that the business value of technology comes from and through people. Today, it is a multicultural company of 270,000 team members in almost 50 countries. With Altran, the Group reported 2019 combined revenues of €17billion.
Get The Future You Want | www.Capgemini.com
Job Responsibilities For Capgemini Off-Campus Drive 2023:
Develop strategies to solve problems in logical yet creative ways
Helping & Managing teams of data scientist and produce project deliverables
Identify and address client needs in different domains.
Processing, cleansing and verifying the integrity of data used for analysis. Data mining and performing EDAs using state-of-the-art methods
Selecting features, building and optimizing classifiers / regressors, etc. using machine learning & deep learning techniques
Help enhance data collection procedures to include information that is relevant for building analytical systems
Primary Skills for Capgemini Off-Campus Drive 2023:
Proficient in data mining and data cleansing techniques
Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision. Good applied statistics skills, such as distributions, statistical inference & testing, etc.
Excellent understanding and hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc).
Secondary Skills for Capgemini Off-Campus Drive 2023:
Experience in multiple domains and successfully executed big project in different domains.
Experience on deployment of model in production.
Familiarity with database systems of SQL and NoSQL
