Senior Consultant, Data Scientist

This range is provided by FTI Consulting. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$69,000.00/yr - $/yr

FTI Consulting is the leading global expert firm for organizations facing crisis and transformation. We work with many of the world's top multinational corporations, law firms, banks and private equity firms on their most important issues to deliver impact that makes a difference. From resolving disputes, navigating crises, managing risk and optimizing performance, our teams respond rapidly to dynamic and complex situations.

At FTI Consulting, you'll work side‑by‑side with leaders who have shaped history, helping solve the biggest challenges making headlines today. From day one, you'll be an integral part of a focused team where you can make a real impact. You'll be surrounded by an open, collaborative culture that embraces diversity, recognition, professional development and, most importantly, you.

Data Scientists on FTI's AI Build Team should have a pragmatic approach to problem‑solving and be capable of developing end‑to‑end solutions that clients can rely on in production. They should be capable of challenging their own work and finding a balance between perfection and practicality.

As a Senior Consultant on FTI's AI Build Team, you will provide guidance, leadership, and mentorship to junior members of the team, while simultaneously contributing to work streams on larger projects. You will showcase your expertise across a number of technical areas including programming, AI/ML and best practices.

• Data Management
  • Develop and oversee comprehensive ETL processes
  • Ideate and maintain functional relational databases
  • Structure and perform quality control procedures for data ingestion, querying, and usages
• Data Analysis
  • Perform exploratory data analysis and render key insights through evidenced results
  • Execute data quality assessments
  • Illustrate material understandings through coherent data visualizations
  • Manage concurrent investigations into required datasets
  • Execute and tune statistical analyses
• Modeling
  • Conduct necessary research for proof‑of‑concept model selection
  • Identify viable model features and apply appropriate normalizations
  • Appropriately log model parameters and metrics for comparison
  • Diligently optimize current processes and pipelines
  • Perform quality control and debugging assistance for junior data scientists
  • Actively work on MLOps design and implementation
  • Bring completed models to production
• Communication
  • Frequently partner with internal and external stakeholders
  • Lead meetings with internal and external non‑technical stakeholders to deliver insights
  • Outline objectives and track progress of junior data scientists

This is an excellent opportunity for a person with proven analytical experience to join a growing, dynamic team, and work on a variety of projects in a wide range of industries. Senior Consultants will have opportunities to collaborate laterally and vertically, internally, and externally, as well as lead and design projects through developing various approaches to complex issues.

• Bachelor's degree in Math, Physics, Computer Science, Statistics, or related field of study
• 3 years of post‑graduate professional experience or Master's degree in Math, Physics, Computer Science, Statistics, or related field of study with 2 years of post‑graduate professional experience
• Ability to travel to clients and FTI office(s)
• Technical Platform Requirements
  • Experience in the following computing language:
    Python
  • Experience in any of the following query languages: TSQL, PL/SQL, and PL/pgSQL
  • Experience in the following version control language:
    Git
  • Experience in any of the following database platforms:
    Postgres, Databricks, Apache Spark, MSSQL, and Oracle
  • Experience in any of the following AI/ML frameworks:
    Huggingface, Torch, Tensor Flow, Scikit‑Learn, and Spa Cy
  • Knowledge of MLOps related technologies for model lifecycle management
  • Knowledge of at least one development environment management framework:
    Docker, UV, Poetry
• Technical Concept…