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Data Science-Generative AI - Senior Associate

Karnataka, India (On-site)

Data Science-Generative AI - Senior Associate

1 Month ago • 6-8 Years

About the job

13 skills required for this role

Test your skills to join the top 1% applicants for this job

java

tensorflow

algorithms

deep-learning

keras

python

pytorch

data-science

data-analytics

business-intelligence

communication

innovation

presentation-skills

Job Description

As part of our Analytics and Insights Consumption team, you’ll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. You'll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights.

Must have:

Proficiency in programming languages such as Python, R, and/or Java.
Experience with machine learning frameworks and libraries, such as TensorFlow, PyTorch, or Keras.
Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights using GenAI techniques.
Good understanding of statistical analysis and machine learning algorithms.
Familiarity with deep learning architectures and techniques.
Excellent communication and presentation skills, with the ability to effectively communicate analytical findings to stakeholders.
Ability to work collaboratively in a team environment and manage multiple tasks simultaneously.

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Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

As part of our Analytics and Insights Consumption team, you’ll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. You'll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights.

Years of Experience: Candidates with 6+ years of hands on experience

Required Skills:

- Proficiency in programming languages such as Python, R, and/or Java.

- Experience with machine learning frameworks and libraries, such as TensorFlow, PyTorch, or Keras.

- Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights using GenAI techniques.

- Good understanding of statistical analysis and machine learning algorithms.

- Familiarity with deep learning architectures and techniques.

- Excellent communication and presentation skills, with the ability to effectively communicate analytical findings to stakeholders.

- Ability to work collaboratively in a team environment and manage multiple tasks simultaneously.

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

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About The Company

PWC

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At PwC, our purpose is to build trust in society and solve important problems. We’re a network of firms in 152 countries with over 327,000 people who are committed to delivering quality in assurance, advisory and tax services. Find out more and tell us what matters to you by visiting us at www.pwc.com. PwC refers to the PwC network and/or one or more of its member firms, each of which is a separate legal entity.

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