{"id":1276880,"url":"https://alion.io/job/infineon-technologies-internship-data-scientist","title":"Internship - Data Scientist","company":{"id":51757,"name":"Infineon Technologies","domain":"infineon.com","url":"https://alion.io/company/infineon-technologies","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":80,"open_postings":114,"ghost_share":0,"stale_share":0.816,"repost_share":0,"time_to_fill_p50_days":40,"computed_at":"2026-09-30T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"intern","employment_type":"internship","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":35000,"max_usd":102000,"period":"year","method":null,"sample_n":3503},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Computer Vision","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Git","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-23T02:46:15Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-10-01T02:27:05Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"The AI/Data Science Intern will support both (1) sustenance and continuous improvement of existing production AI applications and (2) development of new AI use cases across multiple problem types (e.g., computer vision, predictive modeling, anomaly detection, optimization, and GenAI where applicable).\nYour role\nKey responsibilities in your new role\nProduction Model Monitoring & Remediation: Monitor and sustain production AI model performance, investigate deviations, and implement corrective actions.\nUse Case Exploration & Prototyping: Explore and assess feasibility, and prototype new AI use cases aligned with business needs and KPIs.\nData Pipeline Enhancement: Enhance data pipelines and preprocessing to improve data quality, robustness, and repeatability.\nModel Evaluation & Validation: Evaluate, benchmark, and validate models against KPIs, documenting results, risks, and limitations.\nCross-Functional Collaboration & Enablement: Collaborate with cross-functional teams and drive knowledge sharing through documentation and demos.\nDeployment, Scaling & Continuous Improvement: Support continuous improvement, deployment readiness, and scaling of AI solutions across processes and sites.\nInternship Learning Outcomes:\n\nModel Monitoring & Maintenance: Gain hands-on experience in monitoring, maintaining, fine-tuning, and optimizing deployed AI models. \nData Pipeline Improvement: Strengthen skills in improving and troubleshooting data pipelines to support reliable model performance. \nBusiness KPI Evaluation: Learn to evaluate models against business KPIs to assess real-world impact and effectiveness. \nDeployment & Scaling Exposure: Contribute to and gain exposure to model deployment and scaling efforts across multiple processes and sites.\nYour profile\nQualifications and skills to help you succeed \nEducation: Bachelors/ Masters in Data Science or a related field.\n ML Fundamentals: Solid foundation in machine learning fundamentals (training/evaluation, overfitting, cross-validation).\nProgramming & SQL: Proficiency in Python and basic SQL for data extraction and analysis.\nVersion Control & Reproducibility: Familiarity with Git and reproducible development workflows.\n MLOps & Containerization: Awareness of containerization and orchestration basics (Docker/Kubernetes).\n GenAI & Agentic AI Exposure: Understanding of GenAI/LLMs (prompt engineering, embeddings, RAG) and related tooling; basic agentic AI concepts.\nLearning Mindset & Collaboration: Strong learning mindset and ownership: proactive, detail-oriented, able to communicate clearly and collaborate across teams.\n#WeAreIn for driving decarbonization and digitalization.\nAs a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener.\nAre you in?\nWe are on a journey to create the best Infineon for everyone.\nWe strive to create the best Infineon for everyone by embracing diversity and inclusion. We welcome applicants for who they are and offer a workplace built on trust, openness, respect and equal opportunity.\nOur hiring decisions are based on skills and experience. Even if you don’t meet every requirement, we encourage you to apply.\nPlease let your recruiter know if you need any accommodations during the interview process.\nLearn more about our various contact channels and about Diversity & Inclusion at Infineon.\nHillary Woo\nhttps://www.linkedin.com/in/hillary-woo/","description_format":"text","description_chars":3676,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Singapore","iso":"SG","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-26T01:58:41Z"}],"liveness":{"score":58,"band":"ok","label":"Likely open","p_open":1,"p_active":0.578,"p_room":1,"age_days":7,"expected_fill_days":40,"reasons":["conf:15","stale_co","velocity","win:early","comp:junior,brand"],"computed_at":"2026-09-30T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/infineon-technologies-internship-data-scientist","json_url":"https://alion.io/job/infineon-technologies-internship-data-scientist.json","meta":{"generated_at":"2026-10-01T04:58:44Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4593,"day_limit":5000,"remaining_today":407,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}