AI Data Scientist
Technology, Data & Digital · Data, AI & Analytics · Data Science · Machine Learning · Artificial Intelligence
In short
Accenture seeks an Enterprise AI & Data Science Analyst for its Strategy & Consulting – Data & AI team in Copenhagen. This mid-level, full-time role involves supporting the development and deployment of AI, machine learning, and analytics solutions to solve complex business challenges and drive innovation across industries.
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.
- 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.
Requirements
- 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).
Desired Qualifications
- 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.
Benefits
- Work at the heart of change.
- Join a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.
- Support for people's physical, mental, and financial health.
- Opportunities to keep skills relevant through certifications, learning, and diverse work experiences.
- Accenture is consistently recognized as one of the World’s Best Workplaces™.
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