{"id":3239144,"url":"https://alion.io/job/metasys-data-scientist-internship","title":"Data Scientist Internship","company":{"id":3856814,"name":"Metasys","domain":"metasysglobal.com","url":"https://alion.io/company/metasys","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"intern","employment_type":"internship","work_mode":"remote","remote_scope":"worldwide","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"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":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"Matplotlib","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Seaborn","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-10-23T08:46:33Z","employer_posted_date":null,"last_verified_at":"2026-10-23T08:46:33Z","board_verified":false,"closed_at":null,"days_open":5,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":5},"description":"Role OverviewWe are seeking a curious and analytical Data Scientist Intern to support data-driven decision-making across business and technology teams. This internship offers hands-on experience working with real-world datasets, building analytical models, and translating data insights into actionable outcomes.\nThis role is ideal for students or recent graduates looking to build a strong foundation in data science, analytics, and applied machine learning.\nInternship Details\nDuration: 3 months, with potential extension based on performance\n\nWork Mode: Remote\n\nStipend: Unpaid initially; performance-based evaluation in the first quarter may lead to a paid internship extension or full-time opportunity\n\nWorking Hours: 8 hours per day\n\nKey Responsibilities\nCollect, clean, and preprocess structured and unstructured data\n\nPerform exploratory data analysis (EDA) to identify trends and patterns\n\nAssist in building and validating statistical and machine learning models\n\nCreate data visualizations and dashboards to communicate insights\n\nSupport data-driven decision-making through reports and presentations\n\nCollaborate with engineering, product, and business teams\n\nDocument methodologies, findings, and outcomes\n\nRequired Skills & Qualifications\n\nCurrently pursuing or recently completed a degree in:\n\nData Science, Computer Science, Statistics, Mathematics, Engineering, or related field\n\nStrong understanding of statistics and data analysis fundamentals\n\nProficiency in Python\n\nExperience with libraries such as Pandas, NumPy, Matplotlib, Seaborn\n\nBasic knowledge of SQL\n\nStrong analytical and problem-solving skills\n\nPreferred / Technical Skills\nFamiliarity with machine learning algorithms and workflows\n\nExposure to Scikit-learn, TensorFlow, or PyTorch\n\nExperience with data visualization tools (Tableau, Power BI, or similar)\n\nKnowledge of version control systems (Git)\n\nUnderstanding of data pipelines and ETL concepts\n\nWhat You Will Gain\nHands-on experience with real-world datasets and business problems\n\nPractical exposure to data science and analytics workflows\n\nMentorship 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