Advanced Analytics Strategist in Corporate Finance

6 days ago


Copenhagen, Copenhagen, Denmark LEGO Gruppe Full time

About Us:

The LEGO Group is highly committed to equal employment opportunity and seeks to encourage applicants from all backgrounds to apply for roles in our team.

Job Description:

We are seeking a dedicated and motivated Finance Data Scientist / Advanced Analytics Lead with a solid background in data science, machine learning, and advanced analytics.

Key Responsibilities:

  • Develop and implement advanced analytics models using machine learning techniques, deploying AI/ML models into production while integrating them with existing data and IT systems.

  • Support strategic decision-making by applying statistical models and techniques to understand financial phenomena and predict future trends.

  • Collaborate with various groups to enhance the value of AI, ML, and other data science initiatives, working with citizen data scientists, data engineers, and domain experts across the organization.

Your Skills and Qualifications:

  • A strong formative understanding of statistical and mathematical concepts, including linear algebra, probability theory, and algorithms.

  • Technical skills in programming languages such as Python, experience with data manipulation libraries like Pandas and NumPy, and familiarity with data visualization tools like Matplotlib and Seaborn.

  • Expertise in machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) and an understanding of MLOps practices, including DevOps principles like IaC and CI/CD pipelines.

  • Experience with big data technologies (e.g., Spark) and cloud platforms (e.g., AWS, Google Cloud, Databricks), as well as proficiency in DSML platforms like Amazon SageMaker or Azure ML.

  • Advanced analytical skills, including the ability to build and run advanced analytics models, interpret complex data, and deliver actionable insights.



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