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Associate Vice President - Decision Intelligence (Data Science, AI)

Associate Vice President - Decision Intelligence (Data Science, AI)

ConfidentialDelhi
9 days ago
Job description

RESPONSIBILITIES :

  • Build, review and implement solutions with AI / GenAI, ML and deep learning (NLP) techniques and develop APIs using Python
  • Able to handle large data volumes using most latest techniques and data tools
  • Strong experience of working with advanced GenAI models like GPT 4, GPT 4o, Llama etc, in addition to proven expertise on AI architecture and solutions leveraging vector DBs / RAG based approaches
  • Work on buy / sell-side due diligence engagements; with a strong understanding of sector and functions to be able to identify value creation opportunities for analytics application
  • Hands on deliver and manage mid to large size deals and ensure smooth delivery on assigned engagements, products with regions
  • Ability to communicate effectively with cross functional teams across regions and coordinate b / w the core functional and technology teams
  • Stakeholder management and experience of leading mid market deals from analytics point
  • Preparation of demo tools to a standard that can be shared directly with clients
  • Direct client engagement both on pre-sales activities, competitive pursuit / presentation situations and client engagement delivery.
  • Review of technical work of junior colleagues
  • Coaching and development of junior colleagues
  • A strong work initiative, high-energy level, and ability to adapt to new challenges and concepts, including a proactive approach and capacity to perform multiple workstreams and tasks
  • A desire and ability to travel while working within the transaction advisory, financial accounting advisory and mergers and acquisition-oriented environment
  • Experience of assisting clients with building business cases and identifying value using data-driven approaches and business intelligence
  • Ability to work both independently and as part of a team, including robust communication skills
  • Utilizing statistical tools to interpret data sets to identify trends and patterns
  • Strong financial, accounting, analytical and communication skills, facilitating clear and concise messaging to teammates, clients and other technology personnel
  • Advise stakeholders on relevant technical issues for their business area
  • Uphold the firms code of ethics and business conduct.

REQUIREMENTS :

  • Minimum of 8-12 years related work experience in developing and implementing AI / GenAI, ML models across industries.
  • 3 years of proven experience working with natural language generation / processing, LLM techniques. Familiarity with AI / ML frameworks
  • 4 years of experience in MS Azure based deployment with foundational knowledge of Azure Cognitive Services is required
  • Very strong experience in application of statistical techniques like linear and non-linear regressions / classification and optimization areas as well as implementing forecasting models.
  • Good to have experience on Agentic AI frameworks and workflow orchestration
  • Strong experience in Merger & Acquisition domain areas like due diligence, deal structuring, financial reporting, value creation and post-merger phases
  • A Bachelor s degree in Engineering from tier 1 college (Master s in Business / domain would be nice to have)
  • Experienced in programming, business intelligence (BI) and enterprise resource systems, including data collection, analysis and presentation :
  • Programming languages (Python  must to have  )
  • Analytics and data Platforms (AWS, Azure, Snowflake  any one or more of these, preferred Azure  )
  • Businesss Intelligence layer (PowerBI, Tableau etc  good to have  )
  • Superior analytical and problem-solving skills
  • Excellent interpersonal and client relationships skills
  • Strong written and verbal communication skills
  • Dedication to teamwork
  • Proficiency in Microsoft Office, with focus on Word and Excel
  • Ability to adapt to ever changing client demands
  • Flexibility to travel, as needed
  • Supervisory experience, willingness to mentor team members and contribute towards scaling up the practice.
  • TECHNICAL Requirements :

  • Should have understanding on one more industry / sectors and associated KPIs from a transaction lens; across the entire deal life cycle
  • Analyzing cyclicality of target s business and working capital trends
  • Analyzing quality of earnings and non-recurring items
  • Able to run business performance management techniques including financial reporting, scenario and optimization models
  • Participating in discussions held with Management to determine data analytics, AI needs, data requests and potential impacts on the buy-side / sell-side diligence process, as well as prospective on-going projects
  • Skills Required

    Nlp, Python Programming, Azure

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