Description
At Kpler, we are dedicated to helping our clients navigate complex markets with ease. By simplifying global trade information and providing valuable insights, we empower organisations to make informed decisions in commodities, energy, and maritime sectors.
Since our founding in 2014, we have focused on delivering top-tier intelligence through user-friendly platforms. Our team of over 600 experts from 35+ countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape. Join us to leverage cutting-edge innovation for impactful results and experience unparalleled support on your journey to success.
The Cargo Model team is responsible for different commodities covered by Kpler, including LNG, LPG, Liquids and Dry. The objective of the internship is to first, familiarize with the existing Destination Forecast Model, and run several ML experiments considering all commodities specificities to improve the overall models’ performance.
The internship objective is to focus on the Destination Forecast Model. This proprietary Machine Learning Model helps fill the gaps in vessels' future destinations. External sources such AIS, port authorities, fixtures, and market-based information are the backbone of Kpler's forecasting capabilities. When these are unavailable, the next best solution is our proprietary forecast model.
Your mission
- Understand the existing Data pipeline and Destination Forecast Model.
- Train the Machine Learning models on different commodities.
- Evaluate and iterate on the performance by adapting the current models to the commodities specificities.
- Exchange with our experts and product specialists, and then explore and build data engineering tools and techniques to improve models’ performance.
You'll be a match if you
- Currently pursuing a Master’s degree in Applied mathematics, Computer Science, Data Science or a related field.
- Strong background in machine learning techniques, algorithms and mathematical modeling.
- Practical knowledge of Python and SQL.
- Ability to work independently and collaboratively within a dynamic team environment.
- Understands software industry practices and are ready to acquire them.
- Fluent English speaker.
We are a dynamic company dedicated to nurturing connections and innovating solutions to tackle market challenges head-on. If you thrive on customer satisfaction and turning ideas into reality, then you’ve found your ideal destination. Are you ready to embark on this exciting journey with us?
We make things happen
We act decisively and with purpose, going the extra mile.
We build
together
We foster relationships and develop creative solutions to address market challenges.
We are here to help
We are accessible and supportive to colleagues and clients with a friendly approach.
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.
By applying, I confirm that I have read and accept the Staff Privacy Notice
Kpler
Analytics
Big Data
Finance
Image Recognition
Information Technology
Oil and Gas
Predictive Analytics
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