Data Science Manager

Year    Bengaluru, Karnataka, India

Job Description









Audit Transformation \xe2\x80\x93 Data Science \xe2\x80\x93 Manager/Sr. Manager Deloitte\xe2\x80\x99s Audit and Assurance business embraces the promise of artificial intelligence and machine learning, with various forms of AI and ML embedded in the audit technology solutions currently used by our 10,000+ practitioners today. Within our dedicated Data Science organization, a subgroup of the Audit Transformation group, we continue that journey enabling the next generation of AI-enabled solutions that usher in a future that completely transforms the way our practitioners perform their audit work, and the insights we can provide to our clients. The Data Science group consists of a blend of auditors and data scientists working hand-in-hand to capitalize on our world-class data assets and ideate, design, develop, deploy, and manage AI and ML solutions that can be integrated into our existing Omnia ecosystem to increase the quality of our audits, and automate mechanical processes. You will be joining a growing team of talented professionals dedicated to realizing the vision of an AI-enabled audit. As a Manager or Senior Manager in the Data Science group, you will serve as a subject matter expert, leading the auditing and process-specific components of our Data Science workstreams and AI and ML solutions. Specifically, you will be expected to:

  • Define the business problem and work with data scientists to effectively translate it into a data science problem
  • Co-lead the planning, development, documentation, and day-to-day management of an AI solution project plan that effectively prioritizes goals and objectives
  • Work hand-in-hand with data scientists to ensure the inputs and outputs of the AI solution suit the intended user experience and audit workflow, and address the root cause of the defined business problem
  • Manage developers and guide data scientists in designing the user experience of the AI-enhanced audit workflow
  • Tag datasets or supervise and review the tagging of datasets in order to produce high-quality training data for supervised ML models
  • Present progress updates and lead technical demonstrations to Audit Transformation and senior firm leaders
  • Design and lead pilot programs that solicit feedback from audit engagement teams
  • Present to the broader Audit practice regarding artificial intelligence and the solutions we build
  • Manage the production and publishing of internal and external eminence regarding artificial intelligence in the Deloitte Audit
Qualifications Required:
  • A bold, creative mindset \xe2\x80\x93 we will be exploring technologies and techniques that represent a new way of thinking
  • A demonstrated interest in technology or process transformation
  • Strong project management capabilities
  • Strong understanding of technical auditing requirements
  • Ability to visualize and create user experience process flowcharts and data flowcharts (Visio, etc.)
  • Experience producing and presenting high-quality PowerPoint slide materials
  • Ability to travel when necessary
Preferred:
  • Previous experience in a technical National Office role (Audit & Assurance Services or Accounting & Reporting Services), or an Audit Transformation role
  • Demonstrable history of designing custom analytics, analyses, VBA scripts, or other automation routines within your audits
  • Experience with coding and advanced quantitative modeling \xe2\x80\x93 Python preferred, though other languages (R, SAS, etc.) also useful
  • Experience with software and/or web development (HTML, JavaScript, JSON)
  • Familiarity with artificial intelligence and machine learning concepts
  • Real-world experience with Omnia and Omnia|Cortex
  • Experience with Agile Methodology or Scaled Agile Framework (SAFe)





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Requisition code: 143003

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Job Detail

  • Job Id
    JD3047023
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Bengaluru, Karnataka, India
  • Education
    Not mentioned
  • Experience
    Year