{"id":1249674,"url":"https://alion.io/job/keppel-keppel-internship-programme-2027-intern-dataai-engineering-jan-may-2027","title":"[Keppel Internship Programme 2027] Intern, Data/AI Engineering (Jan - May 2027)","company":{"id":451670,"name":"Keppel","domain":"keppel.com","url":"https://alion.io/company/keppel","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":77,"open_postings":55,"ghost_share":0,"stale_share":0.927,"repost_share":0,"time_to_fill_p50_days":45,"computed_at":"2026-10-21T05:46:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"intern","employment_type":"internship","work_mode":"on_site","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":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Azure","optional":true},{"name":"Databricks","optional":true},{"name":"GCP","optional":true},{"name":"Google BigQuery","optional":true}],"status":"live","first_seen_at":"2026-07-28T00:00:00Z","employer_posted_date":"2026-07-28","last_verified_at":"2026-10-20T17:27:46Z","board_verified":true,"closed_at":null,"days_open":86,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":86},"description":"JOB DESCRIPTION\nKeppel is a leading global asset manager and operator with strong capabilities in energy & environment, urban development and connectivity, creating solutions for a sustainable future.The intern will be responsible in the following:\n'Build & Maintain Data Pipelines\nSupport AI/ML Model Development & Deployment\nContribute to Data Platform & AI/Agentic Solutions\nLearning Outcomes:\n'Understand how large-scale data platforms and architectures are designed\nLearn best practices in data security, access control, and responsible AI usage\nDevelop practical experience contributing to production-grade data/AI solutions in a business context\nGain hands-on experience in building and managing end-to-end data pipelines\nDevelop strong understanding of data modeling, data quality checks, and transformation techniques\nBecome proficient in working with modern data stack tools (e.g., SQL, Python, cloud data platforms like AWS/Snowflake)\nJOB REQUIREMENTS\n1. Educational Background & Technical FoundationsPursuing a degree in Computer Science, Data Science, Engineering, or a related field\nStrong fundamentals in programming (preferably Python) and SQL\nBasic understanding of data structures, algorithms, and software engineering principles\n2. Data & AI Knowledge\nFamiliarity with data processing concepts (ETL/ELT, data modeling, data cleaning)\nExposure to machine learning fundamentals (e.g., supervised/unsupervised learning, model evaluation)\nExperience with common data/ML libraries (e.g., Pandas, NumPy, scikit-learn) is a plus\n3. Tools & Platform Exposure\nExposure to cloud platforms (e.g., AWS, Azure, or GCP) and modern data ecosystems is advantageous\nFamiliarity with databases (SQL/NoSQL) and data warehousing concepts (e.g., Snowflake, BigQuery, Databricks)\n4. Problem-Solving & Mindset\nStrong analytical thinking and problem-solving skills\nAbility to break down complex problems into structured solutions\nEagerness to learn and adapt in a fast-paced, technology-driven environment\n5. 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