Technical Lead I - Data Scientist

KPMG

$110K — $130K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in data science or analytics with focus on AI solutions, preferably in professional or financial services.
  • Master's degree in computer science, statistics, mathematics, or related field preferred; Bachelor's degree required.
  • Hands-on expertise in generative AI, especially with LLMs and AI frameworks like LangChain or Semantic Kernel.
  • Proficiency in Python, particularly in data science and solution building on platforms like Databricks.
  • Understanding of SDLC in Agile settings with experience in version control and CI/CD tools like Azure DevOps.
  • Strong analytical skills; able to communicate complex ideas to technical and non-technical audiences.

Responsibilities

  • Design and develop generative AI solutions for audit services.
  • Collaborate with product managers and experts to create technical solutions from business needs.
  • Promote a culture of quality and innovation by identifying improvement opportunities.
  • Manage software development processes to ensure timely delivery of AI solutions.
  • Develop context engineering strategies for sensitive client data across industries.
  • Monitor AI solution impacts and gather feedback for ongoing improvements.
  • Uphold KPMG's values of integrity and professionalism in a respectful working environment.

Benefits

  • Comprehensive medical and dental plans, including vision coverage.
  • Disability and life insurance options.
  • 401(k) plan with employer contribution opportunities.
  • Personal well-being benefits to support mental health.
  • Generous Personal Time Off policies, including designated breaks during the year.
Full Job Description
KPMG is currently seeking a Technical Lead I to join our Audit Technology Organization (ATO).

Responsibilities:
  • Design and develop innovative generative AI solutions to push the frontier of using AI in audit and related professional services
  • Collaborate closely with product managers, audit subject matter experts, and other engineering teams to translate complex business requirements into scalable and reliable technical solutions
  • Champion a culture of quality and innovation; identifying opportunities to continually improve our solutions
  • Drive quality software development lifecycle (SDLC) processes with our AI engineering teams; deliver solutions on time to meet business cycle timelines
  • Oversee the development of advanced context engineering strategies to manage diverse and sensitive client data, ensuring our solutions are versatile and effective across various industries
  • Monitor the usage and impact of AI solutions in the audit process, gather user feedback for future research efforts, and stay updated on current and emerging trends in generative AI
  • Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment

Qualifications:
  • Minimum five years of recent professional experience in data science, analytics or a related field, with a recent focus on building AI agent solutions; experience in the professional services or financial services industry is preferred
  • Master's degree from an accredited college or university in computer science, statistics, mathematics, analytics or a related quantitative discipline is preferred; Bachelor's degree from an accredited college or university is required
  • Hands-on expertise with generative AI, including extensive experience with LLMs (for example Azure OpenAI, Google Cloud), RAG pipelines, and AI frameworks such as LangChain/LangGraph or Semantic Kernel
  • Proficiency in Python and its data science ecosystem, with practical experience building solutions on data platforms like Databricks or Microsoft Fabric and search technologies like Azure AI Search
  • Solid understanding of the SDLC in an Agile environment, including hands-on experience with version control (Git) and CI/CD tools within Azure DevOps
  • Exceptional analytical skills and the ability to communicate complex technical concepts clearly and effectively to both technical and non-technical stakeholders to drive solutions forward

KPMG LLP and its subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work .

Follow this link to obtain salary ranges by city outside of CA:
https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=8153_9_26

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