Data Scientist – Internship @ Kpler in Brussels, London, Paris, Vienna, Dubai, Houston, New York City or Singapore

In a world where trades are happening faster than ever to answer our needs, where sustainability is not just an option anymore, clarity and trust in the information we trade with are a must. 
So, say hello to Kpler! We exist to facilitate sustainable and efficient trade to meet the changing needs of our world. To do so we’ve built a Data-as-a-Service solution that does exactly that across the lifecycle of a trade.
Our solution aggregates data from hundreds of sources including radar and satellite imagery as well as logistics, governmental, shipping databases and more. Intelligently connecting the dots across fragmented information landscapes, we bring to our clients a unique, real-time understanding of the trades happening all over the world, by giving them access to live information about the movement of cargos, the availability of vessels as well as commodity storage.
To support this endeavor, we have teams in more than 7 countries and 9 key locations (Brussels, Paris, Hyères, London, Vienna, Dubai, Singapore, Houston and New York). With individuals of various backgrounds, diverse skills, and international experiences, being global & inclusive is in our DNA!
Data Scientist – Internship
Kpler power’s mission is to tame the electricity market with data collected in real time and modeled by AI.
To this purpose, we retrieve various types of data (electricity market, network operation, weather forecast…) from multiple sources. Using our machine learning models, we are able to produce simple indicators for our clients at various time steps, from the next few hours to 2050.
The modeling of these models requires the processing of a large amount of meteorological data as well as the construction of algorithms to model solar, hydro, wind, etc. production.
The internship will consist of creating electricity price models for several European countries using these data.
The first part of the internship will be to prepare the data sets you will use to generate your models and to understand the electricity market thanks to our documentation, the existing bibliography and exchanges with our experts.
In a second phase, the aim will be to validate the envisaged modelisation in order to measure their efficiency and to possibly improve our offer.
The intern will participate in the different steps from the construction of the model to the production in the Kpler Power environment.
Skills required:
    – Knowledge of Git, Python and SQL
    – Retrospective data analysis
    – Data scraping
    – Use of machine learning to create new models
    – Controlling data quality
    – Ability to work in a team, collaborating with development teams 
Profile required:
    – Master (+4 or +5)
    – Training in data science: machine learning, data visualization and data processing 
If you want to work in a small team, you are motivated in the complete creation of a product and curious to learn more about the world of electricity, this opportunity is for you!Data Scientist – Internship

Our values
Be humble – We always place the interests of the collective before your own.
Respect and care for others – We make every person feel comfortable in their own beliefs, decisions, and perspectives. 
Take responsibility – We take ownership of our actions.
Act with integrity -We are honest and transparent in all your dealings.
Be bold – We push the boundaries in order to improve and grow.
You’ll get to work in a truly global environment, with more than 30 nationalities speaking more than 15 languages.
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