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Advanced Analytics, Junior / Senior Data Scientist

Apply now Job no: 493101
Work type: Permanent
Location: Singapore
Categories: Advisory, Audit, Central Services, Tax

Innovate. Collaborate. Shine. KPMG's Center of Excellence for Advanced Analytics – has both applied data science, AI, and big data architecture capabilities. Here, you'll work with a diverse team of sophisticated data and analytics professionals to explore the solutions for clients in a platform-diverse environment. This means your ability to find answers is limited only by your creativity in leveraging a vast array of techniques and tools. Be a part of a high-energy, diverse, fast-paced, and innovative culture that delivers with the agility of a tech startup and the backing of a leading global consulting firm. For you, that translates into the chance to work on a wide range of projects – covering technologies and solutions from AI to optimization – and the power to have a real impact in the business world. So, bring your creativity and pioneering spirit to KPMG.

KPMG is currently seeking junior/senior data scientists for Advanced Analytics.

This role involves:

  • Work internally within KPMG’s other areas within Tax, Audit and Advisory to advance the client understanding of Data Science and Advanced Analytics; Work very closely with emerging technologies group within AI service providers (Google Cloud, Azure, and AWS) to provide a first-in-market solution approaches to complex business problems;
  • Translate advanced business analytics problems into technical approaches that yield actionable recommendations, in diverse domains (Financial Services, Real Estate, Infrastructure, Supply chain, and Pharmaceutical, etc.);
  • Perform exploratory data analysis, generate, and test working hypotheses to uncover interesting trends and relationships; Analyze and model structured data and implement algorithms to support analysis using advanced statistical and mathematical methods from statistics, machine learning, data mining, econometric and operations research

The ideal candidate should possess:

  • Minimum of two years of prior experience working in teams of data & analytics professionals to deliver on business-driven analytics projects using predictive modeling, natural language processing, machine learning on structure and unstructured data, and/or information retrieval;
  • Master’s degree from an accredited college/university in Statistics, Computer Science, Engineering, or related fields; PhD from an accredited college/university is preferred;
  • Understanding of data preparation, machine learning, deep learning, natural language processing; ability to discuss mathematical formulations, alternatives, and impact on modeling approach; Understanding of development practices such as testing, code design, complexity, and code optimization;
  • Fluency in Python/R; Proficiency in AI related frameworks (NLTK, Spacy, Scikit-Learn, Tensorflow); and experience with platforms (Google Cloud, Azure, and AWS); Ability to pick up new languages and technologies quickly.

 

Personal data collected will be used for recruitment purposes only.

Advertised: Singapore Standard Time
Applications close: Singapore Standard Time

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