Internship (6 months) - Data Analysis and Correlations for Tender Engineering

Kanadevia Inova AG; Zürich; Presencial; CHF 17.000 - 23.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Inova Academy

Professional development

Global team exposure

Central Zurich location

Excellent employment conditions

Modern infrastructure

Descripción de la vacante

Kanadevia Inova AG invites a Master’s student to join the Global Engineering & Supply Chain Tendering team for a 6-month data analysis internship focused on correlations for tender engineering.

You will analyze historical tender data, identify key quantity weights, and develop a centralized data tool used by engineers across functions, contributing to preliminary sizing and cost estimation for Waste-to-Energy EPC projects.

Formación

• Strong analytical and communication skills required.
• Autonomous, proactive, curious, flexible and team-oriented personality.

Responsabilidades

• Analyze historical data from tender projects.
• Identify the weight of key quantities in EPC project definitions.
• Perform quality controls to spot missing data and weaknesses in the current database.
• Develop physics-based interconnections between design parameters and tender quantities.
• Define use cases that support engineering activities in new projects.
• Support the development of an automated reporting tool.
• Assist in writing standard documentation describing data pipelines and analytical procedures.

Conocimientos

Analytical skills

Communication skills

Team-oriented

Educación

Master’s student in Chemical, Process, Energy or Thermal Engineering

Descripción del empleo

Internship (6 months) - Data Analysis and Correlations for Tender Engineering

• Full-time

Welcome to Kanadevia Inova, a global innovation leader in the waste infrastructure space, where we believe in creating a sustainable future through technology and innovation.

At Kanadevia Inova, we pride ourselves on being at the forefront of waste-to-X technology. We are not just waste managers; we are creators of value from what communities discard. Your role at Kanadevia Inova directly contributes to turning something once considered useless - waste - into something invaluable: energy, heat, hydrogen, fertilizer, and beyond.

Within Kanadevia Inova’s Global Engineering & Supply Chain Tendering department, you will perform data analytics and identify trends and correlations to support the preliminary sizing and cost estimation of plant systems for international Waste-to-Energy EPC (Engineering, Procurement and Construction) projects. The project focuses on interpreting historical data using physical and business metrics to validate and predict engineering outcomes. You will collaborate across functions with process, layout, and mechanical engineers, developing a novel centralized tool which will be used by several stakeholders within the company.

Your tasks will include:

• Analyzing historical data from tender projects
• Identifying the weight of key quantities in the definition EPC projects
• Performing quality controls to spot missing data and weaknesses in the current database
• Develop physics-based interconnections between engineering design parameters and tender quantities to generate, validate, and benchmark tender-related metrics
• Defining use cases that support engineering activities in new projects
• Supporting the development of an automated reporting tool
• Assisting in writing standard documentation describing data pipelines and analytical procedures

Requirements

• Master’s student in Chemical, Process, Energy or Thermal Engineering
• Sound knowledge of thermodynamics and plant engineering
• Strong analytical and communication skills
• Autonomous, proactive, curious, flexible and team-oriented personality

We offer

• Responsible challenge with diversified field of activity
• Team-oriented working atmosphere in an international Company
• Personal development opportunities through own Inova Academy
• Opportunity to gain an insight into various technical disciplines
• Excellent employment conditions
• Attractive working place (central, good transport links)
• Modern infrastructure

For HR agencies: Please note that we do not accept applications coming from agencies. Thank you.