Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 7 and day 57.
At Kpler, jobs usually come down by about day 37.
From 10,789 similar postings that came down, and 31 of Kpler’s. Coming down is not always a hire.
Reads like a Data Scientist role: models and experiments.
Work setup in the employer’s posting: hybridFrom the employer’s posting
Employment type in the employer’s posting: InternFrom the employer’s posting
Final-year student:
Price & Transaction is Kpler’s newest team.
As a 6-month end-of-study intern in Paris, you’ll work next to our Trading Analysts, Product Managers & Engineers.
Research shows that women and people of color are less likely than others to apply if they feel like they don’t match 100% of the job requirements.
Test new features and releases.
Price & Transaction is Kpler’s newest team. We add commodity prices to Kpler’s market data, and our main product, Kpler Arbitrage, answers one question: does it pay to ship a cargo from A to B? Is the price gap big enough to cover freight, losses, financing and quality differences?
As a 6-month end-of-study intern in Paris, you’ll work next to our Trading Analysts, Product Managers & Engineers. You’ll run modelling studies, test new features and releases, build data-quality dashboards, and learn how physical trading works along the way.
Our People Pledge Don’t meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don’t match 100% of the job requirements. Don’t let the confidence gap stand in your way, we’d love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team. Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer.
Support the roadmap. Help our senior product team collect inputs from analysts and clients, document and size requests, and keep the backlog clear and prioritised. Test new features and releases. Write test cases, check outputs against what the market actually does, and log bugs and feedback with clear examples and expected behaviour. Build reliability dashboards that last. Design and set up dashboards tracking the freshness, coverage and quality of our price and arbitrage data, with alerts on outliers and gaps. You document them so the team can maintain them long after your internship.
Essential: - Final-year student: Currently completing a Master’s degree or Grande École diploma in Engineering, Finance, Data, or an applied quantitative field, available for a 6-month end-of-study placement. - Data-fluent: Proficient in extracting and analyzing data with SQL and/or Python, transforming raw numbers into intuitive, actionable visualizations and structured tables.
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 0
Early. Similar jobs usually come down between day 7 and day 57.
At Kpler, jobs usually come down by about day 37.
From 10,789 similar postings that came down, and 31 of Kpler’s. Coming down is not always a hire.
12 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Final-year student: Currently completing a Master’s degree or Grande École diploma in Engineering, Finance, Data, or an applied quantitative field, available for a 6-month end-of-study placement. - Data-fluent: Proficient in extracting and analyzing data with SQL and/or Python, transforming raw numbers into intuitive, actionable visualizations and structured tables. - Quality-minded: Methodical in auditing data integrity—consistently spotting anomalies or calculation gaps, applying verification checklists, and taking pride in thorough, high-quality deliverables.
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New Data Scientist postings at the employers we follow are down 5% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Price & Transaction is Kpler’s newest team. We add commodity prices to Kpler’s market data, and our main product, Kpler Arbitrage, answers one question: does it pay to ship a cargo from A to B? Is the price gap big enough to cover freight, losses, financing and quality differences?
As a 6-month end-of-study intern in Paris, you’ll work next to our Trading Analysts, Product Managers & Engineers. You’ll run modelling studies, test new features and releases, build data-quality dashboards, and learn how physical trading works along the way.
You don't need to know it all yet. We'll teach you the market and the product. What we want is curiosity, rigour, enthusiasm for data and an interest in commodity markets.
Essential:
Nice-to-haves:
Intern
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Paris
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.