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Introduction
Wipro is a leading provider of IT, consulting, and business services. It uses hyper-automation, cognitive computing, robotics, cloud, analytics, and emerging technologies to help its clients adapt to and succeed in the digital world. A global corporation is known for its diverse service portfolio, a solid commitment to sustainability, and good corporate citizenship.
In this article, we will cover almost everything you need to know to become a Data Scientist at Wipro, that includes the skills required, your responsibilities, salary and perks offered, preparation strategy and your future after you pursue this line of work.
About the Role
Candidates for this position must be able to design and develop end-to-end cognitive pipelines based on Natural Language Processing.
The candidate will be in charge of developing and managing NLP pipelines for multiple solutions.
They are in charge of designing microservices-based text processing implementations based on specific requirements.
The candidate is expected to investigate and implement cutting-edge technologies and algorithms wherever possible.
Creating highly optimized and scalable ML modules using NLP and rule-based pipelines is also part of the job.
Salary and Perks
For experience ranging from 2 to 9 years, the average Wipro Data Scientist salary in India is 9.4 Lakhs. Wipro India's Data Scientist salary ranges from4.5 Lakhs to 18.0 Lakhs.
Average Salary
₹ 3,50,790
Estimated Take Home Salary
₹ 25,578 - ₹ 26,983/month
The salary mentioned above is subject to change.
Being a Data Scientist at Wipro comes with multiple benefits, which are listed below:
Soft Skill Training
Work From Home
Cafeteria
Job Training
Gymnasium
Education Assistance
Health Insurance
Skills and Experience Required
The following experiences and skills are required to become Data Scientist at Wipro:
Client interaction experience is required.
Experience with machine learning, analytic consulting, and product development is required.
Experience building predictive models (Application Scorecard, Behaviour) is required.
Loan Pricing, Loss Forecasting, and Cross-Sell Model.
Create and maintain credit risk models and strategies PhD, MBA, and Masters degrees in Economics, Statistics, and Mathematics.
Must be able to work in a fast-paced start-up / small office environment.
A strong background in at least one production-ready deployment of Machine Learning algorithms is preferred.
Experience working on large, messy datasets to solve real-world business problems.
Experience with Kaggle is advantageous.
Responsibilities
The role of Data Scientist at Wipro comes with significant responsibilities, which are listed below:
With client collaboration, concentrate on developing a clear and concise analytical approach to problem-solving.
Strong understanding of ML libraries and applications, such as Neural Nets, SVMs, Boosting methods, and R/Python implementation. Math should be at the level of an academic paper, e.g. linear algebra, calculus, etc.
SQL expert Python programmer with extensive knowledge of the SciPy stack (e. g. NumPy, pandas, scikit learn, matplotlib).
Working knowledge of open-source deep learning libraries such as TensorFlow, Keras, and Pytorch.
Project management includes timely communication, setting milestones, and tracking.
Creating actionable insights to improve business/KPIs.
Preparation Strategy
If you want to learn how to become a data scientist at Wipro, you've come to the right place.
Challenge Everything
The field of Data science is appealing because it allows you to answer exciting questions using actual data and code. Then consider the following:
What are their conclusions based on the data they discuss?
How would you go about designing a study to look into this further?
What questions would you have if you had access to the underlying data?
Learn the Basics
Data science, not tools, is about answering questions and driving business value. It is more important to learn the concepts than the syntax. In an actual data science role, you'll be creating and sharing projects, so learning in this manner will give you a head start. Start learning from a Data Science Course to learn from the basics.
Construct Projects
As you learn the fundamentals of coding, you should begin creating projects that answer exciting questions and showcase your data science abilities. Your projects can be simple. The key is to find exciting datasets, ask questions about them, and then respond with code.
Share Your Work with others
It forces you to consider how to best present your projects, as you would in a data science role. And Know the difference between big data and data science and its use in future. They enable your peers to view and provide feedback on your projects. They give employers access to your projects.
Study Others' Experiences
Start engaging with other data scientists once you've established an online presence. This can be done offline (in person) or through online communities. You will also get to know about various interview experiences and interview questions for Data Science.
Test Your Limits
Here are some tips for pushing your limits and learning data science faster:
Begin a project that necessitates knowledge you lack.
Make your project run more quickly.
Teach someone else what you did in a project.
Career Map
Given the increased use of data analytics and machine learning have started making more informed choices and running their businesses.
Experts believe Data Science is the most forward-thinking skill set.
It has significantly aided organizations in gaining meaningful insights from unorganized and raw data.
Data scientists are primarily responsible for assisting organizations in making intelligent investment decisions, targeting the right consumers, assessing associated risks, and contributing to capital allocations.
After improving your data science skills and acquiring years of experience, you can branch out into marketing, sales, data quality, finance, business intelligence, and so on, and even work as a consultant for leading data-driven companies.
Resource for Preparation
Here are some links given below it will help you in your preparation:-
Interview Questions: It is always essential to go through the interview questions before applying to any role in the company.
Interview Puzzles: These interview puzzles will help you quickly get your answers. You will be able to understand the interviewer's point more precisely.
Data Warehouse and Data Mining:When dealing with data, we come across various data management techniques that benefit data scientist preparation.
IT Certifications: These certificates will help you prove your excellence in any skill.
Guide to Open Source:It grants privileges to users to modify, be available to use, and distribute the source code with its original rights to the owner.
Diversified Section:It has many technical topics that can't be categorized, which might help you crack interviews for service based companies.
For experience ranging from 2 to 9 years, the average Wipro Data Scientist salary in India is 9.4 Lakhs. Wipro India's Data Scientist salary ranges from 4.5 Lakhs to 18.0 Lakhs.
What are the responsibilities of a Data Scientist at Wipro?
Strong understanding of ML libraries and applications, such as Neural Nets, SVMs, Boosting methods, and R/Python implementation. Math should be at the level of an academic paper, e.g. linear algebra, calculus, etc.
What are the most essential skills for a Data Scientist at Wipro?
Some important skills which are required to work as a Data Scientist at Wipro include Python, Data Science, Machine Learning, Artificial Intelligence, and SQL.
What does a data scientist at Wipro do on a daily basis?
Most of a data scientist's time is spent researching, writing algorithms, and writing code to answer questions about data sets.
Conclusion
This blog goes into great detail about Data Scientist at Wipro. We've also discussed some resources to help you become a Data Scientist at Wipro.
Visit the following blogs to prepare for your interview:
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