AI Data Scientist

Freelio; Denmark; On-site; DKK 700,000 - 900,000; Full time

Job summary

FREELIO is seeking an Enterprise AI & Data Science Analyst to join our Strategy & Consulting – Data & AI team in Denmark. You will collaborate with data scientists, AI engineers, and industry experts to transform data into business value for clients.

You will design, develop, and deploy AI solutions, build predictive models, and deliver dashboards and insights that drive measurable outcomes across industries while staying current with AI trends.

Qualifications

• Bachelor's or Master’s degree in a related field (Data Science, CS, AI, etc.).
• Basic programming experience in Python, R, SQL.
• Strong analytical and problem-solving skills.
• Ability to communicate technical findings to both technical and non-technical audiences.
• Fluency in English.

Responsibilities

• Support the design, development, and deployment of AI, machine learning, and analytics solutions.
• Analyse 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, visualisations, 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

Python

R

SQL

Statistics

Data Visualization

Analytical skills

Teamwork

Education

Bachelor's degree

Master's degree

Tools

Power BI

Tableau

Plotly

Azure

AWS

Google Cloud

Job description

About the RoleWe are looking for an Enterprise AI & Data Science Analyst to join our Strategy & Consulting – Data & AI team. This role is ideal for someone who is passionate about artificial intelligence, data science, analytics, and transforming data into business value.As part of our multidisciplinary AI team, you will work alongside data scientists, AI engineers, strategists, and industry experts to help clients solve complex business challenges using data and AI. You will support the development of analytical models, AI solutions, and insights that drive innovation and measurable outcomes across industries.What You Will DoAs an Enterprise AI & Data Science Analyst, you will:•Support the design, development, and deployment of AI, machine learning, and analytics solutions.•Analyse 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, visualisations, 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.Who You AreYou are curious, analytical, and passionate about using data and AI to solve real-world business problems. You enjoy learning new technologies, working with data, and collaborating with diverse teams.You may have gained experience through:•University coursework, research projects, internships, or graduate programmes focused on data science, analytics, AI, or software development.•Academic projects involving machine learning, predictive analytics, data visualisation, or statistical modelling.•Exposure to cloud technologies, programming, or data engineering concepts.Must-Have• 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).Nice-to-Have• Experience with machine learning libraries such as Scikit-learn, TensorFlow, PyTorch, or similar.• Familiarity with data visualisation tools such as Power BI, Tableau, or Plotly.• Exposure to cloud platforms such as Azure, AWS, or Google Cloud.• Knowledge of Generative AI, Large Language Models (LLMs), or prompt engineering.• Experience working with SQL databases, data pipelines, or big data technologies.# LI-DNI