Tech Avenue 2026
4 нед. назад
ШвецияTraineeOnsite
Program for women and gender diverse students to build technical confidence and explore software development and data at in Stockholm.
О компании
- Tech is better when more of us are in the room. Join Tech Avenue 2026 in Stockholm. At , we believe that different perspectives make tech better. Tech Avenue is our program for women and gender diverse students within tech , created to build technical confidence, expand your network and give you a glimpse into life as an IT consultant. Across three evenings at our Stockholm office , you’ll get to explore different areas within software development and data, work hands-on with real technical challenges, and meet people from across . Throughout the program, you’ll also be matched with your own Career Coach to support you in reflecting on your strengths, development and next steps after graduation. Tech Avenue 2026 is for students graduating in 2027 who are curious about tech, consulting and where their career could take them.
Другое
- Technical Edge: Hands-on workshops in Data, Software and AI, led by experienced consultants.
- Consulting Skills: Explore the skills beyond code that make a great consultant, from creative problem solving and business sense to sales and growth. Listen to inspiring talks and panel discussions from women across different career levels and career paths at .
- Career Coaching: Get matched with your own Career Coach and reflect together on your strengths, ambitions and next steps after graduation.
- Network & Inspiration: Meet fellow students, consultants and role models from across and become part of a community that continues beyond Tech Avenue.
- Final year Master student within IT, Computer Science, Engineering or a related technical field , graduating in 2027 .
- Women and gender diverse individuals who want to develop their technical skills and explore a future within tech.
- Available to attend all three on-site events in Stockholm: November 5th, 17th and 25th, 2026.
- Fluent in English, both written and spoken.
- Self-motivated, eager to learn, and genuinely interested in Software Development, Data and/or AI.