B
Programme
Internship
Location
London
Duration
10 weeks
Deadline
2026-10-30
About the role
The 10-week, in-person Summer Analyst experience places interns within Blackstone Technology & Innovations, building and supporting software, cloud, data, infrastructure, automation, and AI-enabled solutions. Participants collaborate with engineers, product managers, data practitioners, and business stakeholders while receiving mentorship, training, feedback, and networking opportunities.
Responsibilities
- Design, build, test, and support software solutions used across Blackstone’s businesses.
- Develop applications, services, APIs, automation capabilities, and systems managing large data volumes.
- Contribute to cloud-native architectures, platform engineering initiatives, and infrastructure automation.
- Collaborate with engineers, product managers, data practitioners, and business stakeholders on production solutions.
- Participate in code reviews, testing, software delivery, and operational workflow automation.
- Use firm-approved AI-assisted development tools, plugins, skills, and standards when writing and reviewing code.
Technologies
- Potential technologies include Python, TypeScript, JavaScript, C#, React, Node.js, SQL, and database technologies.
- Potential platforms include AWS, Snowflake, Docker, Terraform, GitLab, CI/CD, messaging, and event-driven architectures.
- Teams may provide experience with artificial intelligence and machine learning platforms.
Programme Details
- The Summer Analyst Programme lasts 10 weeks and is conducted in person.
- Participants receive mentorship, continuous feedback, technical and soft skill training, and networking opportunities.
- Participants work alongside experienced developers, architects, product teams, and professionals across Blackstone.
- Applications are reviewed on an ongoing basis and close Friday, 30 October 2026.
Requirements
- Currently enrolled as an undergraduate or master’s student, with anticipated graduation in summer 2028.
- Demonstrate strong programming fundamentals in any modern programming language.
- Show analytical thinking, problem-solving ability, strong communication, and effective collaborative working skills.
- Demonstrate interest in software engineering, cloud computing, data systems, or platform technologies.
- Show curiosity about applying artificial intelligence and emerging technologies to real-world problems.
- Submit a PDF CV including expected graduation month, year, and grade.