KPMG is hiring for a fresher entry level Data Scientist role in India

Position:

• Data Scientist

Company:

• KPMG

Location:

• Mumbai, Maharashtra, India

Job Type:

• Full-Time

Job Mode:

• Hybrid

Job Requisition ID:

• Not specified

Years of Experience:

• 0-3 years
  

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Company Description:

• Global Presence:

  • KPMG is one of the leading global networks of professional firms offering Audit, Tax, and Advisory services.
  • The organization operates in 143 countries and territories.

• Workforce:

  • Employs a diverse team of 273,000 professionals worldwide, unified by a commitment to delivering excellence.

• Core Values and Vision:

  • Driven by a clear vision and strong values that prioritize people, clients, and innovation.
  • KPMG emphasizes creating long-term value for clients, ensuring sustainable growth and solutions.

• Industry-Specific Expertise:

  • Focuses on developing deep industry knowledge to address unique challenges and leverage specific opportunities.

• Global Structure:

  • Operates as a network of independent member firms affiliated with KPMG International Cooperative, a Swiss entity.
  • Each member firm is legally distinct, providing services independently within the global network.

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Profile Overview:

• Primary Responsibilities:

  • Conduct data analysis and preprocessing to clean, validate, and extract insights from large datasets.
  • Design, develop, and implement machine learning (ML) algorithms and statistical models to solve complex business challenges.
  • Develop APIs using Python (especially FastAPI) to ensure seamless integration of models into systems and applications.
  • Explore and enhance AI models by leveraging Generative AI (GenAI) technologies to expand their applicability across domains.
  • Collaborate with cross-functional teams, including software engineers and product managers, to create innovative AI-driven solutions.
  • Stay updated on advancements in AI fields, including deep learning, natural language processing (NLP), and computer vision.

• Skills and Expertise:

  • Proficient in programming languages such as Python and R, alongside experience with data libraries like pandas and NumPy.
  • Strong grasp of statistical concepts like regression, clustering, hypothesis testing, and time-series analysis.
  • Familiarity with machine learning frameworks such as TensorFlow to develop and deploy scalable AI solutions.

• Technology and Innovation:

  • Hands-on experience with GenAI-based models, incorporating cutting-edge AI techniques to improve existing frameworks.
  • Understanding cloud technologies like Azure OpenAI, adding value to project execution.

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Qualifications:

• Educational Background:

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related fields.

• Technical Expertise:

  • Proficiency in Python and R programming languages.
  • Experience in data manipulation using libraries like pandas and NumPy.
  • Familiarity with machine learning frameworks like TensorFlow for model deployment.

• Statistical Acumen:

  • Strong understanding of core statistical methodologies, including regression, clustering, hypothesis testing, and time-series analysis.

• AI Model Development:

  • Expertise in designing and implementing machine learning models to solve diverse business problems.
  • Hands-on experience with Generative AI (GenAI) technologies to enhance AI solutions.

• API Development:

  • Proficient in developing APIs using FastAPI in Python for seamless model deployment and integration.

• Cloud Certifications (Preferred):

  • Certifications in Azure OpenAI or other cloud technologies are an added advantage.

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Additional Info:

• Work Environment:

  • Operates in a hybrid mode, balancing remote flexibility and on-site collaboration at the Mumbai office.
  • Promotes cross-functional collaboration among software engineers, product managers, and domain experts.

• Professional Growth:

  • Encourages continuous learning by staying updated on the latest advancements in AI, NLP, and computer vision.
  • Provides opportunities for exposure to global projects with a focus on innovation and sustainability.

• Impactful Contributions:

  • Leverage data-driven insights to drive meaningful business decisions.
  • Collaborate with a global team of experts to deliver cutting-edge AI solutions.

• Company Culture:

  • KPMG fosters an inclusive and people-centric culture.
  • Offers a supportive environment that values innovation, teamwork, and professional development.

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Please click here to apply.

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