Senior Data Scientist - AI Solutions IDT , Air & Climate 36

Ramboll is seeking a Senior Data Scientist for AI Solutions in Air & Climate, located in Ohio. This hybrid position involves designing AI and data science solutions to enhance consulting workflows. Responsibilities include leading applied AI projects, developing AI-enabled solutions, and creating decision-ready insights. Applicants should have a Master's degree in a quantitative field, experience in data science, and strong Python skills. The role emphasizes collaboration and innovation within the team.
Ramboll is a global architecture, engineering, and consultancy company.
As a foundation-owned people company, founded in Denmark, we believe that the purpose of sustainable change is to create a thriving world for both nature and people.
So, that's where we start and how we work.
Our history is rooted in a clear vision of how a responsible company should act and being open and curious is a cornerstone of our culture.
Ramboll in the Americas has thousands of experts working across more than 70 offices.
Ramboll experts deliver innovative solutions across Environment & Health, Water, Energy, and Planning & Urban Design.


Hybrid-based position in our Los Angeles or Irvine, CA office other locations in the US will be considered.


Applicants must be currently authorized to work in the United States on a full-time basis.
No sponsorship is available for this position.


Are you excited about building applied AI solutions that improve how consulting teams deliver value? Are you motivated by advancing digital transformation in environmental and climate services? Are you a curious and hands-on data scientist who thrives in ambiguous problem spaces?

Your new role

As our new Senior Data Scientist, you will join the Air & Climate Global Service Line (GSL) Innovation & Digital Transformation (IDT) team to design and deliver applied AI and data-science solutions that accelerate consulting workflows and improve knowledge reuse.


You will be part of a collaborative, innovation-focused team working on prototype-driven solutions that address complex, real-world consulting challenges.
This role combines modern AI application development with classical data science, and involves taking ideas from concept through prototype and pilot deployment.
You will partner with Digital Product Engineering (DPE) for production readiness and scaling of successful solutions.


Your key responsibilities will be:


Lead multiple applied AI and data-science efforts from concept through prototype and pilot, prioritizing business impact and adoption Design and build AI-enabled solutions, including retrieval-based systems and document-processing workflows, to improve knowledge access and automation Apply quantitative methods such as geospatial and time-series analysis to support consulting delivery and strengthen solution rigor Develop dashboards and lightweight applications that translate analytical outputs into decision-ready insights for consultants and clients Create reusable accelerators and share best practices to enable repeatable and scalable delivery across teams About you

Master's degree in Data Science, Computer Science, Statistics, Engineering, or a related quantitative field (or equivalent experience).
Experience in Engineering or Science related to Air & Climate Demonstrated experience delivering applied data-science or machine-learning solutions in real-world settings Strong programming skills in Python for data processing, analysis, and model development Experience using version control tools such as Git for collaborative development Ability to communicate technical results clearly through visualization and data storytelling What we can offer you

Investment in your development Being valued for the unique person you are Never being short of inspiration from colleagues, clients, and projects The long-term thinking of a foundation-owned company Salary Transparency Statement

At Ramboll, we are committed to fair and transparent compensation practices that support our people and our purpose of creating sustainable societies.
The anticipated base salary range for this position is $97,204- $121,500per year.
This range reflects the compensation we reasonably expect to offer at the time of posting.
Actual compensation will vary based on factors such as location, skills, experience, education, and internal equity.
Because we operate across multiple U.
S.
markets, pay may differ depending on the cost of labor in specific locations.
In addition to base salary, this position may be eligible for bonus, overtime or other forms of compensation and we offer a comprehensive benefits package that supports well-being, professional development, and work-life balance.
Our recruiters are happy to share more about the specific salary range and total rewards package applicable to your location during the hiring process.


Ready to join us?

Please submit your application with your up-to-date CV.
We invite diversity in all its forms and encourage applicants from all groups to apply.


Thank you for taking the time to apply! We look forward to receiving your application.


Work at the heart of sustainable change with Ramboll in the Americas

Ramboll is a global architecture, engineering, and consultancy company.
As a foundation-owned people company, founded in Denmark, we believe that the purpose of sustainable change is to create a thriving world for both nature and people.
So, that's where we start and how we work.
Our history is rooted in a clear vision of how a responsible company should act and being open and curious is a cornerstone of our culture.
Ramboll in the Americas has thousands of experts working across more than 70 offices.
Ramboll experts deliver innovative solutions across Environment & Health, Water, Energy, and Planning & Urban Design.


Where People Flourish

Our mission is to create sustainable societies where people and nature flourish.
This means that a culture of inclusion is embedded in everything we do.
Our people bring diverse backgrounds and experiences to the company, enabling us to delive.