- Location
- Copenhagen, Harild Hus, Denmark
- Type
- Full-time
- Department
- Education
- Education
- Master
- Source
- Workday
Description
About the Role
We 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 Do
As 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 Are
You 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.
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
