AI Data Scientist

Copenhagen, Capital Region
Posted 1 day, 1 hour ago
Data Science

About the role

Job summary

The role involves working as an Enterprise AI & Data Science Analyst within a multidisciplinary team focused on leveraging AI and data science to address complex business challenges. The position emphasizes transforming data into actionable insights and developing innovative AI solutions.

Qualifications

  • Bachelor's or Master's degree in Data Science, Computer Science, Artificial Intelligence, Statistics, Mathematics, Engineering, Physics, Economics, or a related field.
  • Strong analytical and problem-solving skills.
  • Basic programming experience in Python, R, SQL, or similar technologies.
  • Understanding of data analysis, statistics, and machine learning fundamentals.
  • Ability to communicate technical findings to both technical and non-technical audiences.
  • Strong teamwork and collaboration skills.
  • Fluency in English (Nordic language skills are an advantage for local roles).

Responsibilities

  • Support the design, development, and deployment of AI, machine learning, and analytics solutions.
  • Analyze structured and unstructured data to uncover business insights and opportunities.
  • Assist in building predictive models, machine learning algorithms, and data-driven solutions.
  • Help prepare, clean, and transform data for advanced analytics and AI applications.
  • Contribute to the evaluation and testing of AI models, ensuring quality and performance.
  • Collaborate with business stakeholders to understand requirements and translate them into analytical solutions.
  • Support the development of dashboards, visualizations, and reports that communicate insights effectively.
  • Work with AI, cloud, and data platforms to develop scalable solutions.
  • Stay up to date with emerging trends in AI, Generative AI, machine learning, and data science.

Skills

  • Experience with machine learning libraries such as Scikit-learn, TensorFlow, PyTorch, or similar is a plus.
  • Familiarity with data visualization tools such as Power BI, Tableau, or Plotly is advantageous.
  • Exposure to cloud platforms such as Azure, AWS, or Google Cloud is beneficial.
  • Knowledge of Generative AI, Large Language Models (LLMs), or prompt engineering is a plus.
  • Experience working with SQL databases, data pipelines, or big data technologies is desirable.

Education

  • A degree in a relevant field is required, with a preference for advanced degrees.

Tools

  • Proficiency in programming languages such as Python, R, and SQL is expected. Familiarity with cloud technologies and data visualization tools is advantageous.
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