Industry & Function Data Science Analyst

Imagine, transform, and make a positive impact on the world — join the heart of change as a Data Science Analyst

Within your team:

The revolutions in Data and Artificial Intelligence are transforming everything. They are everywhere — reshaping how we work, communicate, and play. Join Accenture and help transform leading organizations and communities around the world. Accenture Data and AI Science is at the forefront of these exciting changes, bringing them to life across 40 industries in more than 120 countries. The scale of our capabilities and client engagements, combined with how we collaborate across ecosystems, operate, and create value, offers an unparalleled opportunity for growth and progress.

Accenture’s Data and AI practice covers the full range of expertise across Data and AI — from Strategy, Data Science, and Data Architecture to AI Engineering and Visual Insights. When combined with Accenture’s broader Strategy and Consulting practice, we create a unique capability to drive deep business transformation through the power of Data and AI.

You will learn, grow, and advance in an innovative culture that thrives on shared success, diverse perspectives, and unlimited opportunities to take your career in new and exciting directions.

If you’re looking for a challenging career in a dynamic environment, with access to world-class training and a global network of experts, this role could be a great fit for you. As a member of our global team, you’ll work with cutting-edge technologies and have the opportunity to develop a wide range of new skills.

In this role, you will:

• Solve complex business problems using advanced machine learning methods such as deep learning and quantitative analysis.

• Understand business requirements and contribute to the development of practical use cases.

• Conduct exploratory analyses to identify new and innovative opportunities.

• Define approaches to integrate and scale machine learning models.

• Implement pipelines and models using PyTorch / Python, Node.js.

• Create reusable assets and solutions and develop best practices for current and future business challenges.

• Advise on complex analytics and advanced machine learning techniques.

• Communicate effectively and provide guidance to client teams and leadership.

• Leverage your Data Science expertise to identify and explore new project opportunities.

• Internally, contribute to the development of our NLP and Computer Vision solutions — from prototyping new features and technologies to integrating them into our global products and offerings — further developing your expertise in these areas.

• For our clients, support the development and deployment of our AI-based automation solutions, collaborating primarily with international teams of engineers, consultants, scientists, and designers. Project teams are typically multidisciplinary, combining your technical skills with local technology capabilities, expert insights, and functional knowledge.

Profile:

• Master’s degree in Computer Science, Engineering, or Artificial Intelligence

• At least 2 years of experience delivering technology integration projects based on AI

General Skills:

• Fluency in English

• Strong interpersonal skills and the ability to present effectively to an audience

• Team spirit, problem-solving mindset, and ability to work independently

• A strong interest in cutting-edge technologies and user experience

• Willingness to acquire deep technical expertise and apply it to our clients’ business activities

• Openness to international mobility; previous international experience is a plus

• Creativity and the ability to propose and lead the delivery of new ideas

Domain-Specific Skills :

Hands-on knowledge, experience, and expertise in some of the following areas are also essential:

• Machine/Deep Learning – Machine learning algorithms and platforms, neural networks, generative AI, Large Language Models (LLMs), custom models, etc.

• Language – Natural Language Processing, machine translation, emotion detection, language identification, classification, etc.

• Vision – Computer vision, object recognition/tracking, face/gender/age/emotion recognition, OCR/handwriting recognition, etc.

• AI Solutions – Virtual agents, robotic process automation, text analytics, video analytics, unique identity/biometrics, inference engines, monitoring and supervision solutions, intelligent search, ontologies/knowledge representation, etc.

Our recruitment process is based solely on skills, with no distinction of origin, age, or gender, and all our positions are open to persons with disabilities.