Top Tech Jobs & Startup Jobs

Leads technical projects and designs, builds, and deploys production-grade AI/ML systems, LLM-based agents, pipelines, algorithms, and analytical tools. Works with consulting leaders and clients to define AI solutions, select appropriate modeling approaches, and deliver scalable outcomes. Responsibilities include proposal development, AI system evaluation and observability, prompt and context optimization, data engineering best practices, and governance of AI risk, bias, and failure modes.

Supports Client Executives in servicing commercial insurance accounts, including renewals, mid-term changes, risk analysis, coverage recommendations, insurer negotiations, policy documentation, certificates, claims administration, and compliance. Coordinates clients, insurers, and internal stakeholders to ensure accurate, timely deliverables and resolution of open items. The role also contributes to business development and relationship management. This is a hybrid position in Montreal requiring at least three office days weekly.

Support AI capability and adoption through structured prompt experimentation, custom GPT testing, workflow prototyping, documentation of exemplars, and coaching colleagues to scale responsible AI use across the firm.

Supports global marketing campaign operations by managing the campaign pipeline, approval workflows, and Monday.com platform. Maintains data quality, configures workflows and dashboards, develops training and documentation, supports automation and integrations with CRM, Power Automate, and Tableau, and partners with marketing, technology teams, and vendors on governance and process improvement.

Develop analytical and machine learning solutions for global consulting clients, including prototypes, predictive models, optimization tools, risk methodologies, and GenAI validation. Collaborate with clients and colleagues, explain complex data science concepts clearly, and deliver insights across financial services, sustainability, energy, retail, and transportation. The role requires quantitative expertise, strong communication in English and Greek, teamwork, and resilience in a fast-paced consulting environment.

Lead Finpro business development in Mumbai by engaging corporate decision-makers, generating new liability insurance business, expanding existing relationships, and delivering tailored insurance program solutions. The role requires insurer market knowledge, client risk assessment, cross-selling, negotiation, networking, product innovation, and stakeholder management across BFSI clients.

Collaborate with consultants and clients to design, prototype, validate, and implement data and analytics solutions. Projects may involve NLP, machine learning, GenAI validation, credit risk modeling, decarbonization, promotion optimization, supply chain risk, and customer churn. Explain sophisticated analytical concepts clearly, contribute to client discussions, and develop quantitative problem-solving skills in a collaborative consulting environment.

Develop analytical and machine learning solutions for global consulting clients, including prototypes, predictive models, NLP, GenAI validation, risk analytics, and optimization tools. Collaborate with clients and colleagues to explain sophisticated data science concepts, assess solution effectiveness, and deliver impactful results across industries such as financial services, energy, retail, and transportation.

Manage and develop private equity and M&A client relationships across Europe, supporting strategic planning, business development, sales execution, and client delivery. Advise senior Marsh leaders, engage C-suite stakeholders, coordinate international teams, resolve complex issues, prepare presentations and analytical reports, and manage selected client accounts. The role requires insurance broking knowledge, strategic and analytical capability, strong relationship-building skills, and extensive international travel.

Supports the billable project lifecycle from opportunity conversion through project completion. Responsibilities include project setup, validating commercial and billing data, maintaining Certinia attributes, managing work queues, coordinating with Controllership and Talent Management, resolving routine lifecycle inquiries, supporting month- and year-end reconciliation, and preparing operational reports using Excel, Tableau, or Power BI.