Data Scientist
Denne stilling er desværre ikke længere ledig.
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København K
Opportunity
Are you our new Data Scientist?
We are seeking an experienced Data Scientist to play a pivotal role in our digital transformation journey. The ideal candidate will leverage big data and advanced analytics to drive innovation, make insightful decisions, and help us develop solutions that enhance operational efficiency and create new business models.
This position is not just about processing data; it's about translating complex datasets into strategic insights that will propel our company to the forefront of our industry.
We offer
Maersk Training has stood at the forefront of global training services for the maritime, oil, gas, offshore wind, and crane operations sectors for over four decades. Our commitment goes beyond mere competency development; we invest in elevating the skill levels of individuals and increasing the operational efficiency of our partners, thereby enhancing safety and sustainability across industries. As we embark on our digital journey, our focus is set on leveraging the Azure cloud platform to innovate our training solutions, making them more accessible, engaging, and efficient than ever before.
We offer the following-
• A competitive salary package with a comprehensive list of benefits.
• A professional environment where your career path is tailored to your skills and interests.
• An opportunity to be an integral part of a company leading the charge in industry innovation.
• Continuous learning and development opportunities.
Key responsibilities
• Collaborate with cross-functional teams to understand company needs and devise possible solutions by integrating, structuring, and analysing data from various sources.
• Design, develop, and maintain scalable data models, algorithms, and predictive models to meet business objectives.
• Drive cloud-based projects with a focus on collecting, parsing, managing, analysing, and visualizing large sets of data to turn information into insights using multiple Azure-based tools.
• Present information using data visualization techniques to provide insightful business intelligence.
• Implement new statistical or other mathematical methodologies as needed for specific models or analyses.
• Optimize joint development efforts through appropriate database use and project design.
• Engage with stakeholders to understand required business outcomes, focusing on the value creation aspect of digital transformation.
We are looking for
Essential Qualifications:
• Master’s degree in data science, Computer Science, Statistics, Applied Mathematics, or a related field.
• Minimum of 3-5 years of experience in a data science capacity.
• Hands-on experience with Microsoft Azure, including Azure ML, Azure Data Bricks, Azure Synapse Analytics, or other related Azure services.
• Strong proficiency in Python, SQL, R, or other analytics tools.
• Experience in machine learning, artificial intelligence, and statistical analysis methods.
• Familiarity with data management tools, including SQL/NoSQL databases.
• Strong problem-solving skills with an emphasis on product development.
Desired Characteristics:
• Proven record of leveraging analytics to drive significant business impact.
• Ability to explain technical concepts to non-technical stakeholders.
• Strong communication and presentation skills
Location can be Svendborg / Copenhagen
Information og data
Denne ledige stilling har jobtypen "Finansmedarbejder", og befinder sig i kategorien "Økonomi og jura".
Arbejdsstedet er beliggende i København K.
Jobbet er oprettet på vores service den 21.10.2023, men kan have været deaktiveret og genaktiveret igen.
Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
- Finansmedarbejder
- København K
- Mandag den 20. november 2023
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Statistik over udbudte jobs som finansmedarbejdere i København K
Herunder ser du udviklingen i udbudte finansmedarbejder i København K over tid. Bemærk at jobs der ikke har en bestemt geografi ikke er medtaget i tabellen. I den første kolonne ser du datoen. I den næste kolonne ser du det samlede antal finansmedarbejdere.
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Statistik over udbudte finansmedarbejdere i København K over tid
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