At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most creative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D; and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
Your Role: We are seeking expressions of interest from experienced Data Scientists to join our consulting team and lead data-driven transformation initiatives across complex product landscapes, helping our clients unlock insights, modernize analytics platforms, and define future-ready data strategies.
As a Data Scientist specializing in Scientific Software Development, AI & ML, you will be at the forefront of developing intelligent systems and scientific applications that drive innovation across industries. You will work closely with cross-functional teams to design, build, and deploy machine learning models and scientific software solutions that solve complex real-world problems.
You will play a key role in:
- AI & ML Model Development: Designing, training, and validating machine learning models for scientific and industrial applications.
- Scientific Software Engineering: Developing robust, scalable software tools and platforms for data analysis, simulation, and modeling.
- Data Analysis & Feature Engineering: Extracting insights from structured and unstructured data using statistical and computational techniques.
- Research & Innovation: Collaborating with domain experts to explore novel approaches and contribute to cutting-edge research.
- Deployment & Optimization: Implementing models in production environments and optimizing performance for scalability and efficiency.
- Documentation & Standards: Creating and maintaining technical documentation, ensuring reproducibility and compliance with best practices.
- Collaboration: Working with engineers, researchers, and stakeholders to align solutions with business and scientific goals.
- Ethical AI Practices: Ensuring fairness, transparency, and accountability in AI systems.
- Proposal Support: Contributing to the development of proposals to win new business and expand project opportunities.
- People and Capability Development: Supporting the growth of team skills and technical capabilities through mentoring, training, and knowledge sharing.
Your Profile:
- Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Applied Mathematics, Physics, Engineering, or a related field.
- Technical Expertise: Proficiency in Python, R, or similar languages. Experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Familiarity with scientific computing libraries (e.g., NumPy, SciPy, Pandas).
- Edge compute and Edge / Embedded AI - technical knowledge
- Software Development: Strong coding skills and experience with version control (Git), CI/CD pipelines, and software engineering principles.
- Mathematical & Statistical Knowledge: Solid foundation in linear algebra, probability, statistics, and optimization.
- Cloud & Data Platforms: Experience with cloud platforms (AWS, Azure, GCP) and big data tools (Spark, Hadoop) is a plus.
- Communication & Collaboration: Ability to work effectively in multidisciplinary teams and communicate complex ideas clearly.
What you’ll love about working here:
- Experience a Positive Work-Life Balance: We prioritize your well-being with hybrid and flexible working arrangements, making it easy to balance your personal and professional life.
- Own your Growth: Dive into endless learning opportunities with courses from Capgemini University and numerous external certifications.
- Thrive in an Inclusive Environment: We don't just believe in inclusion; we live it. Be part of a workplace that values authenticity, inclusion, and belonging.
- Work with Integrity: Join a company recognized by Ethisphere as one of the World’s most Ethical companies.
- Collaborate with Industry Leaders: Gain exposure to top global companies, including 145 of the Fortune 500, through your work with Capgemini.
- Showcase Your Skills: Participate in our internal annual global tech challenges and help address world issues.
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📌 EOI Data Scientist Melbourne
🏢 Capgemini
📍 Melbourne