Kroll

Senior Consultant – Decision Intelligence, Data Science, AI

Kroll

full-time

Posted on:

Origin:  • 🇮🇳 India

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Job Level

Senior

Tech Stack

AWSAzurePythonTableau

About the role

  • Build, review and implement solutions with AI/GenAI, ML and deep learning (NLP) techniques and develop APIs using Python.
  • Handle large data volumes using latest techniques and data tools.
  • Work with advanced GenAI models (GPT-4, GPT-4o, Llama) and implement AI architectures leveraging vector DBs / RAG.
  • Work on buy/sell-side due diligence engagements; identify value creation opportunities for analytics application.
  • Deliver and manage mid to large size deals and ensure smooth delivery on assigned engagements and products across regions.
  • Communicate effectively with cross functional teams across regions and coordinate between core functional and technology teams.
  • Stakeholder management and leading mid market deals from analytics perspective.
  • Prepare demo tools to a standard that can be shared directly with clients.
  • Direct client engagement delivery.
  • Utilize statistical tools to interpret data sets to identify trends and patterns.
  • Apply strong financial, accounting, analytical and communication skills to convey clear messaging to teammates, clients and technology personnel.
  • Uphold the firm's code of ethics and business conduct.

Requirements

  • Minimum of 5-9 years related work experience in developing and implementing AI/GenAI, ML models across industries.
  • 2 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.
  • Strong experience of working with advanced GenAI models like GPT 4, GPT 4o, Llama etc, in addition to experience on AI architecture and solutions leveraging vector DBs / RAG based approaches.
  • Programming languages (Python – must to have).
  • Analytics and data Platforms (AWS, Azure, Snowflake – any one or more of these, preferred Azure).
  • Business Intelligence layer (PowerBI, Tableau etc – good to have).
  • 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).
  • 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.