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 Senior Data Scientist, you will provide guidance, leadership, and mentorship to junior members of the team, while simultaneously managing smaller projects or 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
- Design 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 visualisations
- Execute and tune statistical analyses
Modeling
- Manage proof‑of‑concepts including researching and designing the approach
- Design modelling approach and identify appropriate metrics from both a technical and business KPI perspective
- Manage the model lifecycle including logging model parameters and metrics and storing artifactsTake ownership of model quality control
- Productionise models including ongoing monitoring
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
- Set standards and promote best practices for engineering in the team.
Communication
- 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
How You’ll Grow
We are committed to investing and supporting you in your professional development and we have developed a range of programmes focused on fostering leadership, growth and development opportunities. We aim to promote continuous learning and individual skill 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 programmes 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 managing and ideating a proof‑of‑concept.
- Experience leading workstreams in larger productionised solutions.
- Experience in coaching and training junior resources.
Basic Qualifications
- Bachelor’s degree in Math, Physics, Computer Science, Statistics, or equivalent qualifications
- A few years of data science experience
- Ability to travel to clients and FTI office(s)
Technical Platform Requirements
- 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, Spacy.
- Experience with any of the following MLOps platforms: MLFlow, dbt, Docker, Kubernetes.
- Experience with working cloud environments such as AWS.
Technical Concept Requirements
- Experience in NLP, Forecasting, Clustering, Recommendation Engines, Network Analysis, and Regressions with ability to discuss design decisions.
- Experience in Cross Validation, Ensemble Methods, Over/Under Fitting, Accuracy/Precision/Recall, RAG, Agents.
- Understanding of AI/ML performance measurement best practices including QA/QC framework and knowledge of drift, bias, and fairness.
- Experience in Hashing, Space Complexity, Parallel Processing.
- Ability to work with Linux/*nix systems, bash scripting, SSH.
- Experience in a Solution Architect role with ability to design Database Design, ModelOps, and Orchestration.
Total Wellbeing
Our goal is to support the wellbeing of you and your families — physically, emotionally, and financially. We offer market competitive benefits (including pension), supplemented by 15 flexible benefits, to meet your needs. These include health, lifestyle and family friendly options. We also offer professional development programme, wellness, recognition, community volunteering initiatives, and flexible/hybrid working arrangements.
Equal Opportunity Employer
FTI Consulting is an equal opportunity employer and does not discriminate on the basis of race, colour, 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.
Location
Kingdom-England-London
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