KPMG India

Data Scientist – Consultant

18 November 2024
Full Time
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Deadline date:
£41000 - £76000 / year

Job Description

  • Data analysis and preprocessing: Clean, validate, and analyze large datasets to identify patterns, trends, and insights that can be used to drive the development of AI models.
  • Model development: Design, develop, and implement machine learning algorithms and statistical models to solve complex business problems.
  • API development: Understand API development, specifically using FastAPIs in Python, to create APIs for model deployment and integration with other systems or applications.
  • GenAI-based models: Understand and explore GenAI-based models to enhance existing AI models and explore their potential applications across different domains.
  • Collaborative problem-solving: Work closely with cross-functional teams, including software engineers, product managers, and domain experts to develop innovative AI solutions that address specific business requirements.
  • AI technique research: Stay up-to-date with the latest advancements in the field of AI, including deep learning, natural language processing, and computer vision, and explore their potential applications to enhance existing AI models
  • Programming skills: Proficiency in programming languages such as Python and R, and experience with data manipulation libraries (e.g., pandas, NumPy) and machine learning frameworks (e.g., TensorFlow).
  • Statistical knowledge: Strong understanding of statistical concepts and methodologies such as regression, clustering, hypothesis testing, and time series analysis.
  • GenAI-based models: Understanding and experience with GenAI-based models, exploring their potential applications, and incorporating them into AI models when appropriate
  • Data analysis and preprocessing: Clean, validate, and analyze large datasets to identify patterns, trends, and insights that can be used to drive the development of AI models.
  • Model development: Design, develop, and implement machine learning algorithms and statistical models to solve complex business problems.
  • API development: Understand API development, specifically using FastAPIs in Python, to create APIs for model deployment and integration with other systems or applications.
  • GenAI-based models: Understand and explore GenAI-based models to enhance existing AI models and explore their potential applications across different domains.
  • Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
  • Certification: Certification in cloud technologies especially Azure open AI would be good to have 

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