

Share
Key job responsibilities
As an Applied Science Intern, you will own the design and development of end-to-end systems. You’ll have the opportunity to write technical white papers, create roadmaps and drive production level projects that will support Amazon Science.A day in the life
• All of our internships offer a competitive stipend/salary
• Interns are paired with an experienced manager and mentor(s)
• Interns receive invitations to different events such as intern program initiatives or site events
• Interns can build their professional and personal network with other Amazon Scientists
• Interns can potentially publish work at top tier conferences each year
Start dates are available throughout the year and durations can vary in length from 3-6 months for full time internships.Please note these are not remote internships.
- Experience programming in Java, C++, Python or related language
- Enrolled in a PhD or Master's degree in Computer Science, Machine Learning, Engineering, Operations Research, Statistics or related fields
These jobs might be a good fit

Share
Key job responsibilities
- Work backwards from the needs of our customers, translating complex functional and technical requirements into detailed software architecture and design
- Implement and deploy highly distributed, resilient and scaleable services
- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
- Experience in professional, non-internship software development
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- Knowledge of professional software engineering practices and best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
- Ability to take a project from scoping requirements through to actual launch of the project
- Experience building workflows involving large dataset and/or machine learning models in production using distributed computing and big data processing concepts and technologies.
- Experience building complex software systems that have been successfully delivered to customers
- Highly proficient in both spoken and written Estonian and English (Common European Framework of Reference C1)
- Master's Degree in Computer Science or equivalent experience

Share
The opportunity: your next adventure awaits
As an, you’ll join a supportive team, gain hands-on experience with real clients, and build skills that will stay with you long after graduation. You’ll have the chance to grow quickly, learn from industry leaders, and explore diverse projects. With flexible ways of working, structured training, and access to a global network, you’ll develop future-ready skills while balancing studies and work. And because we value diversity and inclusion, you’ll always be encouraged to bring your unique perspective to the table.
What we look for:
What’s in it for you:
:

Share
Please note this position is a Fixed Term Contract role until January 2027.Key job responsibilities
- Work backwards from the needs of our customers, translating functional and technical requirements into detailed software architecture and design.
- Implement and deploy highly distributed, resilient and scalable services.A day in the life
Please note this position is a Fixed Term Contract role until January 2027.
- Bachelor's degree in computer science or equivalent work experience
- Professional software development experience
- Experience programming with at least one software programming language
- Knowledge of Computer Science fundamentals in object-oriented design
- Experience in data structures, algorithm design, problem solving, and complexity analysis
- Experience communicating and partnering with stakeholders

Share
Your key responsibilities
Skills and attributes for success
What we offer you
At EY, we’ll fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn .
Acknowledgement of Country
Our preferred applicant will be required to undertake employment screening by EY or our external third-party provider.
© 2025 Ernst & Young Australia. A member firm of Ernst & Young Global Limited. All Rights Reserved. Liability limited by a scheme approved under Professional StandardsLegislation.

Share
Your Key Responsibilities
To Qualify for the Role You Must Have
Ideally, You’ll Also Have

Share
Requisition Id : 1632183
FS :
Amid comprehensive regulatory change, today’s financial services institutions are focusing on digital transformation, convergence and disruption from an array of non traditional competitors — all while meeting greater demands for trust and transparency.
We recruit, train and foster a diverse set of people who give their minds to building the future of financial services. Together, we explore new perspectives with innovative and innovative thinking to deliver exceptional client service and ensure that what we do today, counts for tomorrow.
CNS - Risk - Process & Controls :
Financial Services Risk - helps clients in the financial sector to identify, manage and monitor the risks in their business. It is done through a transformative and agile approach including process and procedures, risk, data modeling and analytics, reporting to stakeholders and third parties, business requirements (for software selection and IT implementation), analysis of assets and liabilities, and capital and liquidity management.
Your key responsibilities
Technical Excellence
· Drive the business development process on new & existing client engagements by gathering appropriate resources, gaining access to key contacts & supervising proposal preparation.
· Identify buyers, influencers & stakeholders in existing client engagements and build strong relationships.
· Identify opportunities for cross-selling to current clients/introduce colleagues from other service lines.
· Work with high-growth clients and other market leaders in industries such as financial services, insurance etc.
· Plan & schedule client engagements. Determine and deploy the right team with adequate skill sets for executing engagements and periodically review the status of engagements and work products
· Review status updates and prepare management presentations/audit committee presentations etc.
· Drive timely billing of invoices & actively follow up on collections.
Skills and attributes
To qualify for the role you must have
Qualification
University undergraduate degree, post-graduation preferred.
· Minimum 7 years of relevant work experience
What we look for
People with the ability to work in a collaborative manner to provide services across multiple client departments while following the commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. We look for people who are agile, curious, mindful and able to sustain postivie energy, while being adaptable and creative in their approach.
What we offer
If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.

Share
Key job responsibilities
As an Applied Science Intern, you will own the design and development of end-to-end systems. You’ll have the opportunity to write technical white papers, create roadmaps and drive production level projects that will support Amazon Science.A day in the life
• All of our internships offer a competitive stipend/salary
• Interns are paired with an experienced manager and mentor(s)
• Interns receive invitations to different events such as intern program initiatives or site events
• Interns can build their professional and personal network with other Amazon Scientists
• Interns can potentially publish work at top tier conferences each year
Start dates are available throughout the year and durations can vary in length from 3-6 months for full time internships.Please note these are not remote internships.
- Experience programming in Java, C++, Python or related language
- Enrolled in a PhD or Master's degree in Computer Science, Machine Learning, Engineering, Operations Research, Statistics or related fields
These jobs might be a good fit