Who We Are

FTI Consulting is the world’s leading expert-driven consulting firm. Over the last 40 years, FTI Consulting experts have served as the trusted advisor to Fortune 500 companies and the world’s leading law and private equity firms when they are facing their greatest opportunities and challenges. Our strong performance and continued success are a direct reflection of the ambition, energy, and commitment of our talented professionals across the globe to make a positive impact for our clients and communities.

At FTI Consulting, you’ll be inspired and empowered to make an impact on headline matters that change history. Working side by side with the world’s leading experts in your field, you’ll be surrounded by an open collaborative culture that embraces diversity, recognition, professional development and most importantly, you.

There’s never been a more exciting time to join FTI Consulting and this is where you will do the most exciting and fulfilling work of your career.

 Are you ready to make an impact?

About The Team

As professionals in FTI Consulting’s Forensic & Litigation Consulting practice, we are involved in complex, global and high-profile litigation, arbitration and investigations combining end-to-end risk advisory, investigative and disputes expertise to deliver holistic solutions for our clients.

Senior Consultants within the Data & Analytics (D&A) team support this by utilizing sophisticated mathematical, statistical, and computer science techniques, including Artificial Intelligence (“AI”), machine learning (“ML”), and algorithmic approaches. Drawing from a wealth of industry knowledge, we address complex business challenges for a diverse range of clients – from internal stakeholders to government entities and Silicon Valley's leading tech firms. Positioned at the forefront of technological developments in this space, the D&A team not only evolves with cutting-edge advancements, but also plays a pivotal role as the company's research and development arm. Amongst other responsibilities, we develop tools and pioneer proof-of-concepts, ensuring FTI maintains a leading edge in the industry.

The team predominantly uses modern open-source tools to implement advanced AI/ML methodologies at scale; however, we maintain a technologically flexible stance – continuously open to expanding our toolkit to meet evolving needs and trends (including the use of managed services, when appropriate).

We specialize in the development and deployment of comprehensive advanced AI/ML solutions, employing a robust and high-performance cloud-based technology stack to ensure optimal outcomes. Our solutions are designed to be scalable, efficient, and adaptable to diverse use cases and industries, allowing businesses to drive innovation and enhance operational efficiencies.

Our engagements span a wide range of applications, including but not limited to:

• Automated Document Classification: Utilizing state-of-the-art Large Language Models enables automated and accurate categorization and processing of diverse document types, facilitating improved information management and retrieval.
• Demand Forecasting: Leveraging predictive analytics and machine learning algorithms, we help businesses anticipate market demand, optimize inventory levels, and make informed strategic decisions to maximize profitability.
• Geospatial Modelling of Electric Vehicle Demand: Applying advanced spatial analysis and modelling techniques, we assist stakeholders in understanding and predicting electric vehicle spatial distribution and demand, supporting strategic planning and infrastructure development.
• Communication Analytics and Social Media Modelling: We offer a sophisticated analysis of communication patterns and social media interactions. We incorporate anomaly detection to identify irregularities and potential issues in real time, enabling proactive response and management.
• Identifying Sanctions Breaches with Unsupervised Learning: Employing unsupervised machine learning methodologies, we aid in detecting potential sanctions breaches, ensure compliance with international regulations, and mitigate legal and reputational risks.
• Graph Analysis of Financial Data: Through in-depth graph analysis, we unveil complex relationships within financial data, revealing insights and patterns that support risk management, fraud detection, and financial planning.
• Anomaly Detection in API Call Data: By analyzing API call data, we identify anomalies and potential security breaches, providing an added layer of security and enabling organizations to maintain the integrity of their systems and data.
• Risk Management and Fraud Detection: Utilizing advanced analytics and machine learning algorithms, we assist financial institutions in identifying and mitigating risks and detecting fraudulent activities, safeguarding the integrity of financial transactions.
• Predictive Maintenance: Implementing machine learning models to predict equipment failures before they occur, reducing downtime and maintenance costs.
• Due Diligence Analysis: Employing advanced analytics to assess the viability and risks of potential mergers and acquisitions, aiding in informed decision-making.
• Forensic Data Analysis: Applying sophisticated data analysis techniques to uncover hidden patterns, anomalies, and insights in forensic investigations, aiding in evidence collection and case resolution.
• Legal Document Analysis and Review: Implementing Natural Language Processing (NLP) models to automate the review and analysis of legal documents, improving efficiency and accuracy.
• Customer Segmentation and Targeting: Employing clustering algorithms to segment customers and tailor marketing strategies, optimizing customer engagement and conversion.
• Price Optimization Models: Leveraging predictive modelling to optimize pricing strategies and maximize revenue and market share.
• Inventory Optimization: Implementing machine learning models to forecast demand and optimize inventory levels, reducing holding costs and improving service levels.
• Supply Chain Optimization: Utilize advanced analytics to design efficient and resilient supply chain networks, minimize costs, and maximize responsiveness.
• Energy Consumption Prediction: Developing models to predict and optimize energy consumption in manufacturing processes, reducing operational costs and environmental impact.

Additionally, the team assesses third-party AI/ML solutions for robustness, bias, and regulatory compliance.

About The Role

Data Scientists 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 Senior Consultant, you will be expected to research different methodological approaches and deliver high-quality solutions with guidance. You will be expected to mentor junior colleagues and lead workstreams on larger projects.

What You’ll Do

At the Data Collection stage of a project, the Senior Consultant will:

• Perform data availability/quality assessment.
• Own ETL processes.
• Write SQL queries or scripts to query APIs.
• Researches and acquires data from public sources.
• Liaise with stakeholders to ingest unstructured data.
• Choose appropriate storage schemas, in conjunction with engineers / database architects.
• Identify issues with data—missing values, (near) duplicates, ambiguous name-entity resolution, non-standardised addresses, dates, etc.—and perform data cleaning.
• Prepare replicable processing scripts/notebooks in project repository, and documentation of steps taken.

At the Proof of Concept stage of the project, the Senior Consultant will:

• Perform exploratory data analysis, visualize and communicate key findings.

• Identify possible model features and apply appropriate transformations or normalizations.
• Appropriately log model parameters and metrics for comparison.
• Establish a performance baseline, likely using off-the-shelf libraries and a reduced sample of available data, to produce initial insights or demonstrate feasibility of a model.
• Communicate outcomes to non-data scientists and actively feeds in discussions about what is achievable within project timelines, and what might be other areas of opportunity.

At Production stage of the project, the Senior Consultant will:

• Perform extensive feature engineering, where applicable.
• Develop robust models and statistical analyses, employing appropriate measures of fit to validate their own and colleagues’ work.
• Build and own complete pipelines, potentially working alongside engineers/developers, and testing performance at scale.
• Find and fix bugs in pipeline components (before they go into production).
• Optimize code for time/space efficiency, as needed.
• Take responsibility managing the model lifecycle.
• For running new iterations of data through the existing pipeline (as required), perform validation of these results and prepare client deliverables.
• Communicate findings to client, and incorporate their feedback / domain knowledge to tune a model.

At Platform Development stage, the Senior Consultant will:

• Expose model functionality to development team —e.g., as a package, or an API following ModelOps best practices.
• Support engineers / developers / UI team in building end-to-end solution, advocating for needs of client and data science team.

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

Ideal Non-Technical Skills:

• Ability to communicate complex technical concepts to a less technical audiences, including but not limited to:
• How models work at a high level.
• Pros and cons of different methodologies.
• How to navigate the trade-offs between performance and explainability.
• How to evaluate approaches against a client problem statement.
• Ability to work effectively in a team: collaborative, inclusive, and respectful.
• Ability to mentor junior colleagues.

Desired Technical Experience and Skills:

• Experience with Natural Language Processing (NLP).
• Experience with HuggingFace.
• Exposure to Docker.
• Exposure to Snowflake.
• Exposure to dbt.
• Understanding of distributed frameworks like Spark.
• Understanding of Kubernetes.

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