Corporate Travel AI Network
Data Scientist

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Overview
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About Us
Join us in building the leading AI-Powered Mission Control for Corporate Travel. Some of the world's most recognizable companies, representing over $4T in market value, rely on Clarasight's software to reduce risks, save costs, protect revenues, and manage emissions aligned with business objectives and sustainability goals.
About You
You are a builder at heart — curious, analytical, and energized by turning complex financial and travel data into tools that people actually use. You move fluidly between data science, prototyping, and product thinking, and you're just as comfortable exploring a messy dataset as you are shipping a prototype into customers' hands. You thrive on iteration, customer feedback, and the challenge of making advanced techniques — including machine learning and LLMs — deliver real, measurable value.
About The Role
We are seeking a Data Scientist to create product prototypes that address customer needs and enhance platform capabilities. This role translates analytical insights into actionable tools, using advanced data techniques and customer feedback to shape what ships next. You will work across financial and travel spend data, collaborate closely with advisory, forecasting, and engineering partners, and help define how data science shows up in the Clarasight product.
Key Responsibilities
Prototype & Product Development
- Design and develop product prototypes based on financial and travel spend analysis and client data.
- Utilize Python, R, JavaScript, or Tableau to build scalable, testable tools for customers.
- Iterate on prototypes based on customer feedback to refine and improve usability.
- Work with engineering teams to operationalize data science workflows, ensuring scalability and long-term viability of prototypes.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Data Integration & Insight Generation
- Lead data integration efforts across diverse sources and formats, ensuring clean, reliable, and unified datasets that power analytics and product features.
- Leverage customer datasets to identify trends, generate insights, and create impactful solutions.
- Collaborate with advisory and forecasting specialists to integrate insights into product design.
Advanced Techniques & Visualization
- Explore and implement advanced techniques like machine learning, use of large language models for preliminary analyses, or optimization to improve the accuracy, speed, and efficiency of financial analytics tools.
- Create dynamic visualizations and dashboards to provide clients with actionable financial insights in an intuitive format.
You'll Be a Great Fit If You…
- Have experience in data science with a focus on finance, economics, travel spend analytics, or corporate cost management.
- Have expertise in data integration — including ETL pipelines, API connections, and harmonizing data across multiple systems and formats.
- Are proficient in Python, R, or JavaScript for data analysis and tool development.
- Are familiar with building and testing product prototypes in an iterative environment.
- Have strong knowledge of corporate finance principles, cost optimization strategies, and economic modeling.
- Have experience developing data-driven tools and applications that enable stakeholders to make informed financial decisions.
- Can communicate complex concepts to non-expert audiences effectively.


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Nice to Haves
- Experience working alongside AI systems and applying human judgment to automated outputs.
- Hands-on experience with LLMs or ML models applied to financial or spend data.
- Familiarity with corporate travel, expense, or emissions datasets.
- Experience shipping prototypes into production alongside engineering teams.
Diverse Perspectives
We know that innovation thrives on teams where diverse points of view come together to solve hard problems in ways that are just now possible. As such, we explicitly seek people that bring diverse life experiences, diverse educational backgrounds, diverse cultures, and diverse work experiences. Please be prepared to share with us how your perspective will bring something unique and valuable to our team.
We Offer
- Generous options in our early stage startup for key members of the team.
- Working among a diverse, expert team at the forefront of climate tech, behavioral change, and people technology.
- Opportunity to make a foundational contribution to our mission: close the gap between climate-related intention and action.
- Remote and Hybrid work environments.
- Robust benefits including full medical, dental and vision insurance, 401k (or similar retirement programs) and sustainability benefit ($500 annually to spend on increasing personal sustainability).
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