Job Overview
Data Scientist – AI Build Team at FTI Consulting. The role focuses on developing end-to-end machine learning and AI solutions that support clients in production environments. The position requires a pragmatic problem‑solver who can deliver high‑quality outcomes with minimal guidance, mentor junior colleagues, and lead sub‑projects on larger initiatives.
Responsibilities
- Perform data availability/quality assessments
- Develop comprehensive ETL processes
- Conduct exploratory data analysis and deliver clear insights
- Generate data visualizations to illustrate material findings
- Execute and tune statistical analyses
- Research and select proof‑of‑concept models
- Identify viable model features and apply normalizations
- Log model parameters and metrics for comparison
- Optimize current processes and pipelines
- Perform quality control and ensure ModelOps design and implementation
- Develop well‑designed, auditable data pipelines and models
- Write production‑ready, scalable, maintainable code
- Develop scalable generative AI solutions
- Partner with internal and external stakeholders, both technical and non‑technical
- Guide and mentor junior data scientists
Growth & Development
FTI Consulting invests in professional development through tailored coaching, continuous learning programs, self‑guided courses, and certifications. You will receive a dedicated coach and access to leadership, growth, and skill‑development opportunities throughout your career.
Qualifications
- Experience ideating proof‑of‑concept projects and independently managing workstreams in larger initiatives
- Experience mentoring junior resources
- Bachelor’s degree in Math, Physics, Computer Science, Statistics, or equivalent
- A couple of years of data science experience
- Willingness to travel to client locations and FTI offices
Technical Platform Requirements
- Python with strong object‑oriented programming and design principles
- SQL with deep understanding of database structure and efficiency
- Git version control
- Familiarity with AI/ML frameworks: Huggingface, Torch, TensorFlow, Scikit-Learn, Spacy
- Experience with MLOps platforms: MLFlow, dbt, Docker, Kubernetes
- Experience working with cloud environments such as AWS
Technical Concept Requirements
- Experience with NLP, forecasting, clustering, recommendation engines, graph theory, and regression modeling
- Knowledge of cross‑validation, ensemble methods, over/under‑fitting, accuracy, precision, recall, RAG, agents
- Understanding of AI/ML performance measurement, QA/QC frameworks, drift, bias, and fairness
- Experience with hashing, space complexity, parallel processing (multiprocessing)
- Comfort with Linux/*nix systems, bash scripting, and SSH
- Prior solution‑architect role with design of database, ModelOps, and orchestration solutions
Benefits & Wellbeing
Market‑competitive benefits including pension; 15 flexible benefits covering health, lifestyle, and family options; professional development programmes; wellness, recognition, community volunteering, and flexible/hybrid working arrangements.
Equal Opportunity Statement
FTI Consulting is an equal opportunity employer and does not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation.
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