Senior Data Scientist

FTI Consulting; Greater London; On-site; GBP 26,000 - 61,000; Full time

Job summary

FTI Consulting is seeking a Senior Data Scientist to join the London-based AI Build Team. You will develop and oversee ETL processes, design relational databases, and lead proof-of-concepts for production-ready AI/ML solutions.

The role requires mentoring junior data scientists, coordinating with stakeholders, and delivering data-driven insights for clients. Candidates should have a strong background in Python, SQL, ML frameworks, MLOps tools, and cloud platforms like AWS, with experience in

Qualifications

• Bachelor's degree in Math, Physics, Computer Science, Statistics, or equivalent qualifications
• A few years of data science experience
• Experience in managing and ideating a proof-of-concept
• Experience leading workstreams in larger productionised solutions
• Experience in coaching and training junior resources
• Ability to travel to clients and our office(s)
• Proficiency in Python, including in-depth knowledge of object-oriented programming and design principles
• Proficiency in SQL, including strong knowledge of database structure and efficiency
• Proficiency in Git
• Proficiency in any of the following AI/ML frameworks: Huggingface, Torch, TensorFlow, Scikit-Learn, and Spacy
• Experience with any of the following MLOps-related platforms: MLFlow, dbt, Docker, Kubernetes
• Experience working in cloud environments such as AWS
• Experience with any of the following AI/ML topics within a work context: NLP, Forecasting, Clustering, Recommendation Engines, Network Analysis (Graph Theory), and Regressions, with the ability to discuss design decisions in depth
• Experience with 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 how to build and apply a QA/QC framework and knowledge of drift, bias, and fairness
• Experience with 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 Database Design, ModelOps, and Orchestration

Responsibilities

• Develop and oversee comprehensive ETL processes
• Design and maintain functional relational databases
• Structure and perform quality control procedures for data ingestion, querying, and usage
• Perform exploratory data analysis and provide key insights through evidenced results
• Execute data quality assessments
• Illustrate material understandings through coherent data visualizations
• Execute and tune statistical analyses
• Manage proof-of-concepts, including researching and designing the approach
• Design modelling approaches and identify appropriate metrics from both technical and business KPI perspectives
• Manage the model lifecycle, including logging model parameters and metrics and storing artifacts
• Take ownership of model quality control
• Productionize models, including ongoing monitoring
• 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
• Set standards and promote best practices for engineering within the team
• Frequently partner with internal and external stakeholders, both technical and non-technical
• Lead meetings with internal and external stakeholders to showcase results
• Coach and mentor junior data scientists

Skills

Python

SQL

Git

Huggingface

Torch

TensorFlow

Scikit-Learn

Spacy

MLFlow

dbt

Docker

Kubernetes

AWS

NLP

Forecasting

Clustering

Graph Theory

Cross Validation

Ensemble Methods

QA/QC

Hashing

Space Complexity

Parallel Processing

Linux

Bash

Education

Bachelor's degree in Math, Physics, CS, Statistics

Tools

MLFlow

dbt

Docker

Kubernetes

Job description

Salary: £26,000 - 61,000 per year

Requirements

• Bachelors degree in Math, Physics, Computer Science, Statistics, or equivalent qualifications


• A few years of data science experience


• Experience in managing and ideating a proof-of-concept


• Experience leading workstreams in larger productionised solutions


• Experience in coaching and training junior resources


• Ability to travel to clients and our office(s)


• Proficiency in Python, including in-depth knowledge of object-oriented programming and design principles


• Proficiency in SQL, including strong knowledge of database structure and efficiency


• Proficiency in Git


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


• Experience with any of the following MLOps-related platforms: MLFlow, dbt, Docker, Kubernetes


• Experience working in cloud environments such as AWS


• Experience with 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 design decisions in depth


• Experience with 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 how to build and apply a QA/QC framework and knowledge of drift, bias, and fairness


• Experience with 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 Database Design, ModelOps, and Orchestration

Responsibilities

• Develop and oversee comprehensive ETL processes


• Design and maintain functional relational databases


• Structure and perform quality control procedures for data ingestion, querying, and usage


• Perform exploratory data analysis and provide key insights through evidenced results


• Execute data quality assessments


• Illustrate material understandings through coherent data visualizations


• Execute and tune statistical analyses


• Manage proof-of-concepts, including researching and designing the approach


• Design modelling approaches and identify appropriate metrics from both technical and business KPI perspectives


• Manage the model lifecycle, including logging model parameters and metrics and storing artifacts


• Take ownership of model quality control


• Productionize models, including ongoing monitoring


• 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


• Set standards and promote best practices for engineering within the team


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


• Lead meetings with internal and external stakeholders to showcase results


• Coach and mentor junior data scientists

Technologies

• AI


• AWS


• Architect


• Bash


• Cloud


• Docker


• ETL


• Git


• Support


• Kubernetes


• Linux


• Machine Learning


• MLflow


• MLOps


• Network


• Python


• RAG


• SQL


• TensorFlow


• dbt

More

FTI Consulting is a leading global expert firm for organizations facing crisis and transformation. We work with multinational corporations, law firms, banks, and private equity firms on important issues to deliver impact. Our AI Build Team develops end-to-end, production-ready AI and machine learning solutions across a range of use cases, including NLP document classification, geospatial modeling, demand forecasting, predictive maintenance, price optimization, and agentic RAG systems. As a Senior Data Scientist, you will provide guidance, leadership, and mentorship to junior team members while managing smaller projects or workstreams on larger projects. We offer a collaborative, open culture that embraces diversity, recognition, professional development, and continuous learning, with dedicated coaching and tailored development support. This is a full-time role based in London, United Kingdom.

last updated 36 week of 2026