Risk Management, Cost-Schedule Risk Analysis & AI-Driven Automation Intern

Work on real utility-scale energy projects across battery storage, offshore wind and industrial energy assets.

• Learn and apply advanced Cost-Schedule Risk Analysis (CSRA), Monte Carlo simulation and quantitative risk modelling in a live project environment.
• Build and deploy an AI Risk Assistant that supports real project teams and scales risk management across the department.

Waarom kiezen voor Eneco?

Eneco wants to accelerate the energy transition. This is urgently needed, because global warming is happening faster than expected. We see it as our responsibility to lead the way. Since 2007, our mission has been “sustainable energy for everyone”, and we have embedded our sustainability ambitions in our One Planet Plan. Working at Eneco means collaborating with colleagues to achieve our shared sustainable goals.

Dit ga je doen

During this 6-month graduation internship, you will join Eneco’s Project Services department within the CoE Projects organisation. The department supports the execution of Eneco’s project portfolio through project controls, risk management, estimating, reporting, digital tooling and automation.

You will contribute directly to risk management activities across Eneco’s active portfolio of battery storage, offshore wind and industrial energy projects. The internship combines operational project support, advanced quantitative modelling and applied AI development.

The internship is structured around three connected missions.

The first mission focuses on operational risk management across the project portfolio. You will support project teams with maintaining and improving risk registers, facilitating risk workshops, monitoring mitigation actions and producing risk dashboards and reporting for steering teams.

The second mission is a deep-dive into Cost-Schedule Risk Analysis (CSRA). Under mentoring from the Project Services Manager, you will help quantify project uncertainty by modelling cost, schedule, FX and commodity risks. You will work with stochastic modelling techniques, Monte Carlo simulations and probabilistic cost and schedule forecasting (P50 / P80 / P90).

The third mission focuses on designing and deploying an AI Risk Assistant for the department. Based on the operational knowledge gained during the internship, you will help identify automation opportunities and prototype AI-driven workflows for risk identification, reporting, quality checks and knowledge retrieval.

Gaat dit over jou?

• You are currently pursuing an MSc degree at a technical university or equivalent
• Your background is in Engineering, Applied Mathematics, Operations Research, Econometrics, Quantitative Finance, Data Science, AI or a related field
• You have strong analytical and quantitative problem-solving skills
• You are comfortable working with Python (pandas, numpy and scripting)
• You have an interest in stochastic modelling, uncertainty analysis and Monte Carlo methods
• You are interested in AI, automation and agentic workflows
• You are curious about the intersection between project management methodology and applied AI
• You are proactive, structured and comfortable working in an evolving environment
• You are able to switch between technical modelling work and collaboration with project stakeholders
• You have strong English communication skills; Dutch is a plus

Je bent verantwoordelijk voor

• Review and maintain project risk registers across the active project portfolio
• Organise and facilitate risk identification and review workshops with project teams
• Track mitigation actions, risk owners and project risk developments
• Produce top-risk dashboards, reporting and steering narratives
• Support the execution of Cost-Schedule Risk Analysis (CSRA) on live projects
• Model cost, schedule, FX and commodity uncertainty using stochastic methods and Monte Carlo simulation
• Translate schedule delays into integrated cost-schedule simulations
• Develop probabilistic cost and schedule forecasts (P50 / P80 / P90)
• Support the creation of contingency analyses and driver tornado assessments
• Prototype and test an AI Risk Assistant using Python, Copilot Studio and structured project data
• Improve methodologies, templates, workflows and automation capabilities across the department
• Document models, workflows and tools so they can be reused by future project teams

Dit worden je collega's

You will join Eneco’s Project Services department, part of the CoE Projects organisation. The department supports Eneco’s project portfolio through a broad project controls framework covering risk management, estimating, scheduling, reporting, digital tools and automation.

The team is currently scaling up its standards, methodologies and AI capabilities. You will work in a small, hands-on and highly collaborative environment where you can make a visible contribution from day one.

You will collaborate closely with specialists in risk management, cost engineering, scheduling, reporting and digital transformation. The working environment combines technical depth, operational project exposure and innovation.

We work hybrid from Eneco’s offices in Rotterdam, with occasional visits to project locations or external partners.

Dit hebben we je te bieden

Alle kans jezelf te ontwikkelen

Eneco zet vol in op persoonlijke en professionele ontwikkeling.

Hybride werken: thuis, kantoor of buitenland

Je werkt 40% op kantoor, 40% thuis en 20% flexibel. Met toestemming van je manager mag je maximaal 3 weken per jaar in het buitenland werken (binnen goedgekeurde landen), maximaal 2 aaneengesloten weken.