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 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?

BASIC QUALIFICATIONS

• Bachelor’s, Master’s degree or Doctorate in Data Science, Computer Science, Statistics, or a related field.
• Minimum of 6 years’ experience in data analysis, AI/ML, and management consultancy.
• Strong analytical and problem-solving skills.
• Proven ability to work independently and stay self-motivated.
• Excellent interpersonal and communication skills.
• Experience with project management.
• Expertise in popular data science tools and programming languages (e.g., Python, R, SQL, Git, Docker).
• Experience in deploying machine learning models, MLOps and maintaining AI systems.
• Strong organizational skills with the ability to manage projects.
• Prior experience in a leadership role or leading cross-functional teams.

PREFERRED QUALIFICATIONS

• Prior experience in the following:
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• Data Modelling / Architecture LLMs and / or generative AI models

• Data Visualisation
• Cloud technologies (e.g. AWS / Azure)
• Certifications in Project Management (e.g., PMP, PRINCE2)
  

  LI-KR2 #LI-Hybrid

ABOUT THE ROLE

As professionals in FTI’s Corporate Finance team we are focused on our clients’ strategic, operational, financial, and capital needs by addressing the full spectrum of financial and transactional challenges faced by corporations, boards, private equity sponsors, creditor constituencies and other stakeholders.
Our Data & Technology Transformation practice help address these client challenges through the delivery of data solutions focused on shareholder value creation. Our team is composed of a mix of data experts across the Artificial Intelligence, Machine Learning, Data Engineering, Data Architecture, Analytics and Data Visualisation domains. We work with a diverse spectrum of clients and industries from start-ups to large scale Fortune 100 organisations.
Being part of our team means working with others to understand and communicate the client’s issue, design, and build data solutions that suit their needs. As a Senior Director in our Data Science expert group, you will also help the team by exploring new methods, supporting proposition development and Go-To-Market activities, with a focus on the area of AI. You will also mentor junior colleagues and lead workstreams on bigger projects.

WHAT YOU’LL DO

• Analyse and interpret complex data sets to develop actionable insights and solutions.
• Collaborate with various stakeholders to define and refine data requirements and strategies.
• Create customized solutions that meet clients’ data infrastructure and business needs, delivering the best results and value for the client.
• Execute all elements of AI/ ML model development including data enrichment, sampling, exploratory analysis, feature engineering, model assessment, development, calibration and validation.
• Implement and manage analytics and AI projects / workstreams, ensuring they align with business objectives.
• Utilise your knowledge of ETL to develop data pipelines and query APIs.
• Design and develop scalable and robust analytical models.
• Work as part of a team to deliver client solutions focused on delivering return on investment.
• Provide consultancy on best data practices, efficiencies, and potential areas for improvement.
• Lead and manage project teams, setting objectives, and ensuring timely delivery.

RESPONSIBILITIES

• Define data requirements and strategies for propositions and specific client projects.
• Own model evaluation, development, calibration, and deployment processes.
• Manage analytics and AI projects, ensuring they align with business objectives.
• Design and develop scalable and robust analytical models.
• Foster a data-driven culture within the organization.
• Identify novel client use cases for AI / ML and analytics and helping to bring these to market.
• Keep up to date with the latest technology and AI trends through active research and attendance to industry events and forums.