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Data Scientist, Artificial Intelligence

FTI Consulting· London, England, United KingdomEquityLicensed sponsor
Posted 5 Aug 2026
FTI Consultingfounded 2012
AI summary

You'll work with Python, SQL, Git, and ML frameworks like Huggingface, PyTorch, TensorFlow, and Scikit-Learn to build production-grade AI/ML solutions for FTI's AI Build Team, including NLP-based document classification, demand forecasting, predictive maintenance, and agentic RAG systems deployed across industries. You'll mentor junior data scientists, lead sub-projects, and manage end-to-end data pipelines and modeling workflows with minimal guidance from senior colleagues.

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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.

FTI's AI build team is technology-agnostic with software engineering expertise to deploy advanced ML/AI methodologies at scale. Our engagements include using NLP for automated document classification, geospatial modeling of electric vehicle demand, demand forecasting, predictive maintenance, price optimization, and developing and maintaining production-grade agentic RAG systems that serve the entire firm.

As a Data Scientist, you will research solutions and deliver high-quality outcomes with minimal guidance from Senior Data Scientists. You will mentor junior colleagues and lead sub-projects on larger initiatives.

What You’ll Do

Data Management

Perform data availability/quality assessments

Develop comprehensive ETL processes

Data Analysis

Perform exploratory data analysis and render key insights through evidenced results

Execute data quality assessments

Illustrate material understandings through coherent data visualizations

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

Actively work on ModelOps design and implementation

Engineering

Develop data pipelines and models that are well designed and auditable

Develop production ready code that is scalable, maintainable, and adheres to best design principles

Develop scalable Gen AI solutions

Communication

Frequently partner with internal and external stakeholders both technical and non-technical

Provide guidance to junior data scientists

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

How You’ll Grow

We are committed to investing and supporting you in your professional development and we have developed a range of programs focused on fostering leadership, growth and development opportunities. We aim to promote continuous learning and individual skills development through on-the-job learning, self-guided professional development courses and certifications. You’ll be assigned a dedicated coach to mentor, guide and support you through regular coaching sessions and serve as an advocate for your professional growth.

As you progress through your career at FTI Consulting, we offer tailored programs for critical professional milestones to ensure you are prepared and empowered to take on your next role.

What You Will Need To Succeed

Experience in ideating a proof-of-concept and of independently managing workstreams in larger projects.

Experience in mentoring junior resources.

Basic Qualifications

Bachelor's degree in Math, Physics, Computer Science, Statistics, or equivalent qualifications

A couple of years of data science experience

Ability to travel to clients and FTI office(s)

Technical Platform Requirements

Proficiency in the following computing language: Python including in depth knowledge of object-oriented programming and design principles.

Proficiency in the following query languages: SQL including strong knowledge of database structure and efficiency.

Proficiency in the following version control language: Git

Proficiency in any of the following AI/ML frameworks: Huggingface, Torch, Tensforflow, Scikit-Learn, and Spacy

Experience in of any of the following additional platforms related to MLOps: MLFlow, dbt, Docker, Kubernetes.

Experience with working cloud environments such as AWS

Technical Concept Requirements

Experience in any of the following AI/ML topics within a work context: Natural Language Processing (NLP), Forecasting, Clustering, Recommendation Engines, Network Analysis (Graph Theory), and Regressions with the ability to discuss in depth the design decisions.

Experience in any of the following AI/ML concepts: Cross Validation, Ensemble Methods, Over/Under Fitting, Accuracy/Precision/Recall, RAG, Agents.

Understanding of AI/ML performance measurement best practices including but not limited to how to build and apply a QA/QC framework and knowledge of drift, bias, and fairness.

Experience in any of the following computer science concepts: Hashing, Space Complexity, and Parallel Processing (Multiprocessing)

Ability to work with Linux/*nix systems, bash scripting, SSH (with some instruction).

Experience in a Solution Architect role, with a demonstrated ability to design technical solutions including but not limited to Database Design, ModelOps, and Orchestration.

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.