PwC Recruitment drive 2023: Qualcomm is hiring Data Science through off campus Placement for Hyderabad. A student from various disciplines can apply for the PwC off campus drive 2023. Interested and eligible candidates can read more details below. Details are given below:
About PwC:
PricewaterhouseCoopers is a multinational professional services network of firms, operating as partnerships under the PwC brand. PwC ranks as the second-largest professional services network in the world and is considered one of the Big Four accounting firms, along with Deloitte, EY and KPMG.
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PwC Recruitment 2023:
Company Name | PwC |
Post Name | Data Science |
Salary | up to ₹6 LPA* |
Experience | Freshers |
Batch | 2023/22/21/20/19/18/17 |
Job Location | Bangalore/Kolkata/Mumbai/Hyderabad |
Last date to apply | Apply ASAP |
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Always read details carefully before applying.
PwC Job Responsibilities:
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Solid knowledge and experience of supervised, unsupervised machine learning algorithms. For e.g (but not limited to): linear regressions, bayesian regressions, multi objective optimization techniques, classifiers, cluster analysis, dimension reduction etc.
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Understanding of techniques like Market Mix Modelling, Price Elasticity models, Sales Promo Uplift Modelling, Vehicle Route Optimization
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Good knowledge of statistics For e.g: statistical tests & distributions
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Experience in Data analysis For e.g: data cleansing, standardization and data preparation for the machine learning use cases
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Experience in machine learning frameworks and tools (For e.g. scikit-learn, mlr, caret, H2O, TensorFlow, Pytorch, MLlib)
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Advanced level programming in SQL or Python/Pyspark
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Expertise with visualization tools For e.g: Tableau, PowerBI, AWS QuickSight etc.
PwC Eligibility Criteria:
- Bachelor’s degree from any stream.
Preferred skill:
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Develop and execute on project & analysis plans under the guidance of Project Manager
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Interact with and advise consultants/clients in US as a subject matter expert to formalize data sources to be used, datasets to be acquired, data & use case clarifications that are needed to get a strong hold on data and the business problem to be solved
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Drive and Conduct analysis using advanced analytics tools and coach the junior team members
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Implement necessary quality control measures in place to ensure the deliverable integrity
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Validate analysis outcomes, recommendations with all stakeholders including the client team
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Build storylines and make presentations to the client team and/or PwC project leadership team
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Contribute to the the knowledge and firm building activities
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How to Apply for PwC Recruitment 2023?
To apply for this Off Campus Drive, interested candidates must follow the procedure outlined below:
- Click on the “Apply here” button provided below. You will be redirected to the official career page.
- Click on “Apply”.
- If you have not registered before, create an account.
- After registration, log in and fill in the application form with all the necessary details.
- Submit all relevant documents, if requested (e.g. resume, mark sheet, ID proof).
- Verify that all the details entered are correct.
- Submit the application form after verification.
If you face any issues while applying. Do let us know in the comment section.
What is the role of a Data Science professional at PwC?
The role involves applying solid knowledge of supervised and unsupervised machine learning algorithms, statistical analysis, data preparation, and using advanced analytics tools to solve business problems.
What are the key responsibilities of a Data Science professional at PwC?
Responsibilities encompass deploying ML algorithms, applying techniques like Market Mix Modelling, data analysis, utilizing ML frameworks, and driving analysis outcomes for informed decision-making.
What is the salary range for Data Science at PwC?
The expected salary for Data Science at PwC is up to ₹6 LPA (Lakh Per Annum).
What academic qualifications are necessary for this role?
A Bachelor’s degree from any stream is required.
What statistical skills are essential for this role?
Good knowledge of statistical tests, distributions, and the ability to apply statistical analysis are important.