Data Science Student

at  Bunker Holding AS

Aarhus, Region Midtjylland, Denmark -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate05 Aug, 2024Not Specified06 May, 2024N/AStatistics,Statistical Concepts,Computer Science,Mathematics,Communication SkillsNoNo
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Description:

BUNKER HOLDING GROUP – FUELING THE FUTURE.

At Bunker Holding Group, we specialize in procuring, trading, and delivering marine fuel and lubricating oil to ships. As the industry evolves towards greener fueling solutions, we’re on a mission to lead the way by harnessing the power of digitalization. Join us as a Student Data Scientist and you will have the opportunity to apply your analytical skills to real-world projects and gain valuable hands-on experience in the field of data science in an ever changing and dynamic industry.
We believe that our digital offerings are one of our most important assets on this incredible journey. In a rapidly changing digital landscape, the threats and opportunities extend beyond traditional competitors. It’s about embracing cutting-edge technologies, nurturing start-ups, and pushing boundaries outside our conventional competitive space. That’s why we’re investing in and further developing our digital initiatives.
You will join a newly started Innovation team, called Digital Ventures. Here you will support the team in exploring new concepts, partnerships and trends in the market.

JOIN OUR VISION

We’re already looking forward to hearing from you. Join us from any of our locations in either Middelfart or Aarhus.
In case you have questions about the position, please contact Laura Hansen, on +45 31 22 98 24. Please note that applications are handled on an ongoing basis. So, please send your application and CV as soon as possible
We encourage a diverse culture and invite all qualified applicants to apply regardless of age, gender, religion, sexual orientation, handicap, country of origin or ethnicity.

Responsibilities:

  • Clean, preprocess, and analyze large datasets to extract meaningful insights.
  • Develop and implement machine learning algorithms for predictive modeling and data classification.
  • Collaborate with cross-functional teams to understand business requirements and translate them into actionable data science tasks.
  • Build data visualizations and reports to communicate findings to stakeholders.
  • Stay updated on the latest trends and advancements in data science and machine learning


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Information Technology/IT

IT Software - Other

Software Engineering

Graduate

Proficient

1

Aarhus, Denmark