{"id":2856898,"url":"https://alion.io/job/ericsson-master-thesis-test-data-analytics-and-data-platform-engineering","title":"Master Thesis: Test Data Analytics and Data Platform Engineering","company":{"id":56456,"name":"Ericsson","domain":"ericsson.com","url":"https://alion.io/company/ericsson","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":82,"open_postings":102,"ghost_share":0,"stale_share":0.706,"repost_share":0,"time_to_fill_p50_days":33,"computed_at":"2026-10-23T05:54:15Z"}},"role":"DevOps","role_family":"DevOps","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Stockholm, Sweden"],"countries":["SE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-10-01T13:12:36Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-10-23T09:35:07Z","board_verified":true,"closed_at":null,"days_open":21,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":21},"description":"Join our Team\nAbout this opportunity:\n\nAVQL is Ericsson's strategic test data analytics and quality intelligence platform, enabling engineering organizations across R&D to collect, process, analyze and visualize large-scale verification data.\nWhat you will do:\n\n- Analyze large-scale verification and test data generated from Ericsson product validation activities.\n- Work with data pipelines, analytics platforms and quality assessment systems.\n- Investigate AI and Machine Learning techniques to extract insights from test execution data.\n- Explore automated quality assessment, anomaly detection and release confidence estimation.\n- Develop and evaluate data-driven approaches supporting engineering decision-making.\n- Contribute to scalable data platform solutions handling millions of test results and measurements.\n- Design, prototype and validate analytical models and cloud-native software solutions.\n- Present findings and recommendations.\nThe skills you bring:\n\n- You are pursuing a Master's degree in Computer Science.\n- You have a solid experience of Python programming language.'\n- You have a strong understanding of AI, ML, Cloud-native architecture.\n- You are analytical, structured, systematic and able to work in team or independently.\n- This thesis is suitable for 2 students\nWhy join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.\nWhat happens once you apply?Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. 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