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Marsh McLennan

Forward Deployed Engineer, Data & Analytics

Marsh McLennan

. Embed within client teams to understand workflows and frame business problems and commercial opportunities as AI problems .

Posted 9/17/2026full-timeNewcastle • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing, building, and deploying AI solutions, with a strong focus on Python programming, system design, and client engagement. Proven ability to lead projects from inception to production while mentoring teams and driving technical excellence.

Highest-signal resume keywords
Python ProgrammingAI Solution DeliveryClient EngagementSystem DesignMachine Learning Systems

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonC#/.NETJavaRustC++APIsSQLCloud PlatformsCI/CDLLMs
Soft Skills
Clear CommunicationEntrepreneurial MindsetProblem SolvingMentoringCollaboration
Tools & Technologies
AzureAWSVersion ControlEvaluation HarnessesRetrieval Pipelines
Industry Keywords
Financial ServicesBusiness StakeholdersTechnical DirectionAccess ConsiderationsInnovation

Tech Stack

Tools & technologies
AWSAzureCloudJavaPythonRustSQLC++.NET

About the role

Key responsibilities & impact
  • Embed within client teams to understand workflows and frame business problems and commercial opportunities as AI problems
  • Lead delivery end to end: design, build, test, deploy and iterate AI solutions in live production environments
  • Set technical direction and defend architectural decisions to client engineering and security teams
  • Establish integrations, access and hosting with client IT
  • Prove value in production at small scale and productise and scale successful solutions
  • Build a pipeline of new use cases and help clients build their own capability
  • Bring on other engineers and raise delivery standards through review, pairing and mentoring
  • Challenge systems and processes through technical excellence and innovation
  • Track AI and technology trends

Requirements

What you’ll need
  • Excellent programming and system design skills
  • Recent hands-on experience in Python and ideally one of C#/.NET, Java, Rust or C++
  • Track record of taking AI or machine learning systems into production, including substantial experience with LLMs, prompt design, agentic workflows, evaluation harnesses and retrieval pipelines
  • Experience with APIs and integrations, SQL, cloud platforms (Azure or AWS), version control, CI/CD, security and access considerations
  • Proven ability to own a project from start to finish in an ambiguous setting
  • Experience working directly with clients or business stakeholders
  • Ability to communicate clearly and professionally with clients and colleagues at every level, including non-technical business users
  • Entrepreneurial nature and ability to take ownership
  • Desire to understand and solve business problems, build domain knowledge and increase market understanding
  • Undergraduate degree in computer science, mathematics, engineering or a related field
  • Financial services experience is a bonus, but is not essential

Benefits

Comp & perks
  • Hybrid work with flexibility to work remotely and collaborate in the office
  • Professional development benefits from working together in the office
  • Diverse, inclusive and flexible work environment
  • Reasonable adjustments for candidates with disabilities
  • Opportunity to work on a wide variety of projects alongside exceptionally talented people
  • Learn from industry experts across Oliver Wyman's client base
  • Empowerment and trust to leverage and extend skill sets
  • Exposure to leading-edge AI projects and commercial-value delivery