Industrial Engineer & Data Scientist Eindhoven Master 1-5 Years

Nobleo Manufacturing; Eindhoven; Hybrid; EUR 55,000 - 75,000; Full time

Benefits offered by this job

Growth opportunities

Challenging assignments

Employee benefits

Team culture

Job summary

Nobleo Manufacturing in Eindhoven seeks an Industrial Engineer & Data Scientist to combine engineering insight with data-driven methods to improve production in automotive and high-tech settings.

You will develop models, define KPIs with stakeholders, and lead improvement initiatives using Python, Excel and Power BI with a focus on safety, quality, and cost reduction.

Qualifications

• Master’s degree in manufacturing, engineering or data-focused field.
• 5 years of experience in technical environments (high-tech, automotive) is common.
• Strong analytical skills and a structured, precise work style.
• Excellent verbal and written communication; customer-oriented teamwork.

Responsibilities

• Set up, improve and optimize production and business processes.
• Develop and validate models and algorithms to simulate manufacturing processes.
• Define and visualize KPIs with stakeholders using Python, Excel and Power BI.
• Lead improvement initiatives focused on safety, quality and cost reductions.

Education

Master’s degree in a relevant field

Tools

Python

Excel

Power BI

Job description

Are you an industrial engineer and data scientist interested in using your knowledge of data-driven insights to improve production processes in the automotive and high-tech industries? We would like to get in touch with you!

At Nobleo Manufacturing, we believe there are always opportunities to produce faster, better, and more cost-effectively. As an Industrial engineer & Data Scientist your role involves acquiring comprehensive knowledge of products and manufacturing processes at the customers’ sites, understanding the functionality, feasibility, risks, and applications of the product and processes involved. You will combine your engineering mindset with data-driven insights to improve these production processes in the automotive and high-tech industries.

Role and responsibilities

As an Industrial Engineer & Data Scientist, you will be actively involved in setting up, improving, and optimising production and business processes, sometimes being engaged directly from the development phase onward. With a strong data-driven approach and the use of Lean and Six Sigma methodologies, you initiate improvements, eliminate waste, and propose solutions that drive measurable results.

In this role you will develop and validate models and algorithms to simulate and optimize manufacturing processes, while defining and visualizing KPIs in collaboration with stakeholders using tools like Python, Excel, and Power BI. The improvements you introduce are quantifiable and contribute to the customers’ business objectives. When implementing process improvements, you consider essential preconditions such as safety, quality delivery reliability, and costs. In co-operation with stakeholders, you will (re)design processes necessary for the correct execution of the production process. Ultimately, your work contributes to achieving optimal production output, with a strong focus on increasing efficiency, ensuring quality, and reducing cost. You will take lead in improvement initiatives, ensuring that solutions are based on real production data.

What do we expect from you?

• You have a (technical) master’s degree, preferably a strong affinity with manufacturing, engineering and data.
• 1-5 Years of experience in a relevant technical environment (high-tech, automotive).
• You have strong analytical skills and a structured, precise working style.
• Besides being precise, you are also a result- and customer-oriented team player with strong communication skills.
• Strong knowledge and skills in data analysis tools like Python, Excel and/or Power BI.
• Affinity with programming and process simulation.
• Entrepreneurial mindset and a passion for continuous improvement.
• Fluent in Dutch and English, both written and spoken.
• You are quality-conscious and enjoy contributing to improvement processes, both internally and externally.

What can you expect from Nobleo Manufacturing?

At Nobleo Manufacturing, we believe in Achieving New Level Manufacturing Together. We collaborate with our customers as true partners, supporting them in designing and optimising their production processes and entire value chains. We focus onstructural quality assurance,sustainable productivity, andsmart cost reductionboth within the factory and across the broader supply chain.

With deep expertise in the high-tech and automotive industries, we integrate manufacturing principles, engineering, industrialisation, digitalisation and simulation into future-ready solutions. You will be part of an enthusiastic and entrepreneurial team that thrives on solving complex challenges and delivering measurable impact.

We offer:

• Opportunities for personal and professional growth through internal training and thematic working groups.
• Challenging assignments for leading manufacturing companies.
• Excellent primary and secondary employment benefits.
• A dedicated team culture in which innovation, taking ownership, collaboration and knowledge sharing are key.

Our application process

We keep our hiring process clear and personal:

• Introductory Call – Let’s get to know each other and learn more about your ambitions.
• Interview (Technical + Cultural Fit) – We will take a closer look at your skills, experiences, and motivations.
• Case or assessment – Optional, depending on the role/project.
• Final Interview – Meet more of the team and align expectations.
• Offer – If everything aligns, we will gladly have you join our team.

Want to know more?

Do you want to know more about this position? Or would you like to talk to a colleague from Nobleo Manufacturing about the job and the company? Please get in touch! Call 040-82 00 182 or send an email [e-mail] .

We would love it if you joined our team!

No commitment, just a conversation. We will get back to you within two business days.

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