{"id":2970669,"url":"https://alion.io/job/shield-ai-summer-2027-data-science-intern-r6324","title":"Summer 2027 - Data Science Intern (R6324)","company":{"id":50,"name":"Shield AI","domain":"shield.ai","url":"https://alion.io/company/shield-ai","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":74,"open_postings":70,"ghost_share":0,"stale_share":0.829,"repost_share":0,"time_to_fill_p50_days":73,"computed_at":"2026-10-22T06:10:10Z"}},"role":"Early Careers","role_family":"Early Careers","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":["San Diego, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":53000,"max_usd":87000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":372},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Databricks","optional":true},{"name":"Time Series","optional":true}],"status":"live","first_seen_at":"2026-10-21T00:28:58Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-22T08:31:11Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Shield AI is seeking a Data Science Intern to assess data readiness and develop predictive forecasting capabilities for Anaplan. Working with Finance and engineering mentors, you will build and evaluate models, then prepare their outputs for integration into existing planning models. Your work will advance the vision of an autonomous, continuously updated forecast that reduces preparation effort and gives the executive team and board access to current, governed projections.\nWhat you'll do\nAssess financial and operational data for predictive readiness, identifying useful drivers and material gaps.\nBuild baseline and machine-learning forecasts for a focused Finance use case.\nEvaluate accuracy, stability, and explainability using appropriate backtesting.\nPrepare model outputs for Anaplan consumption and demonstrate an integration prototype with the team.\nRecommend the data, monitoring, and review practices needed to support reliable forecast updates.\nPresent findings and deliver documented, reproducible work that informs the next stage of development.\nRequired qualifications\nPursuing a Bachelor's or Master's degree in data science, statistics, computer science, applied mathematics, economics, or a related field.\nCoursework or project experience with Python, SQL, statistics, and predictive modeling.\nAbility to assess data quality and communicate model assumptions and limitations.\nPreferred qualifications\nExperience with time-series forecasting, feature engineering, or model evaluation.\nFamiliarity with Databricks, financial data, or enterprise planning.\nInterest in integrating machine learning into practical business workflows.\nStrong curiosity, collaboration, and problem-solving skills.","description_format":"text","description_chars":1712,"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":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Military Drones","Defense Manufacturing","Defense AI","Drone 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