Who We Are 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. Are you ready to make your impact? About The Role 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 Data Scientist on FTI’s AI Build Team, you will provide guidance, leadership, and mentorship to junior members of the team, while simultaneously contributing to workstreams on larger projects. You will showcase your expertise across a number of technical areas including programming, AI/ ML and best practices. What You’ll Do 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 Model. Ops 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 How You’ll Grow 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. Data Scientist’s 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. What You Will Need to Succeed Basic Qualifications. 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, Comput. Science, Statistics, or related field of study with 2 years of post-graduate professional experience. Ability to travel to clients and FTI office(s) less than 5% Technical Platform Requirements Experience in the following computing language: Python. Experience in any of the following query languages: T/ SQL, PL/ SQL, and PL/pg. SQL - 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, Tensforflow, Scikit-Learn, and Spacy. Experience in any of the following additional platforms related to ML - Ops: ML - Flow and Docker. Experience in any of the following on-demand cloud computer platforms: AWS, GCP, and Azure Technical Concept Requirements. Experience in any of the following AI/ ML topics: Natural Language Processing (NLP), Forecasting, Clustering, Recommendation Engines, Network Analysis (Graph Theory), and Regressions. Experience in any of the following AI/ ML concepts: Cross Validation, Ensemble Methods, Over/ Under Fitting, Accuracy/ Precision/ Recall. Experience in any of the following computer science concepts: Object Oriented Programming, Hashing, Space Complexity, and Parallel Processing (Multiprocessing)Non-Technical Requirements Experience in managing and ideating a proof-of-concept while leading the proceeding phases; Development, Testing, Deployment, and Maintenance Experience in mentoring junior resources Preferred/ Desired Qualifications. Technical Platform Requirements Experience in any of the following on-demand cloud computer platforms: AWS, GCP, and Azure. Experience in Gen. AI related tools for workflow orchestration such as: Llama. Index, Lang. Chain, MCP, RAG - Experience in any of the following additional platforms related to ML - Ops: ML - Flow, GitLab CI - Exposure to serving models: Fast. API, Flask