{"id":2823888,"url":"https://alion.io/job/uni-aihub-data-scientist","title":"Data Scientist","company":{"id":4447499,"name":"uni.aihub","domain":"uni.aihub","url":"https://alion.io/company/uni-aihub","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":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17000,"max_usd":45000,"period":"year","method":"role_country_seniority_unknown","sample_n":166},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"Matplotlib","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Seaborn","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-18T17:17:51Z","employer_posted_date":null,"last_verified_at":"2026-10-18T17:17:51Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"DATA SCIENCE INTERN\nCompany: Uni.AiHUb\nDuration: 3 Months\nStipend: Up to 10,000 (Performance-Based)\nType: Paid, Remote Internship\n\nFOR COLLEGE STUDENTS ONL FOR COLLEGE STUDENTS ONL\n\nAbout the Company\nUni.AiHUb is offering a structured remote internship for freshers who want to begin a career in data science. The internship provides practical exposure to data collection, preprocessing, exploratory data analysis, statistical analysis, machine learning, and data visualization through hands-on projects.\nResponsibilities\nCollect, clean, preprocess, and organize datasets from relevant sources.\nPerform exploratory data analysis to identify trends, patterns, relationships, and insights.\nUse Python and libraries such as Pandas, NumPy, Matplotlib, and Seaborn for data analysis and visualization.\nAssist in developing, training, and evaluating machine learning models.\nApply basic statistical techniques to analyze datasets and support data-driven decisions.\nCreate meaningful charts, visualizations, and reports to communicate analytical findings.\nWork with SQL to extract, filter, join, and analyze data from databases.\nAssist in feature engineering and data preparation for machine learning projects.\nEvaluate model performance using appropriate metrics and document results.\nIdentify data quality issues and assist in improving the accuracy and reliability of datasets.\nDocument analysis processes, methodologies, experiments, and project findings clearly.\nResearch relevant data science tools, techniques, and industry applications.\nCollaborate with remote team members and complete assigned projects and deliverables on time.\nRequirements\nSuitable for freshers with an interest in Data Science, Machine Learning, Data Analytics, Statistics, Computer Science, or a related area.\nBasic knowledge of Python programming.\nFamiliarity with Pandas, NumPy, Matplotlib, and Seaborn is beneficial.\nBasic understanding of statistics, probability, and data analysis concepts.\nBasic knowledge of SQL and database concepts.\nUnderstanding of machine learning fundamentals is beneficial.\nFamiliarity with Scikit-learn and basic machine learning algorithms is beneficial.\nBasic understanding of data visualization and exploratory data analysis.\nFamiliarity with Git and version control is beneficial.\nStrong analytical thinking, logical reasoning, problem-solving ability, attention to detail, and willingness to learn.\nGood written and verbal communication skills.\nAbility to work independently in a remote environment while managing deadlines responsibly.\nThis is a paid, remote internship with a duration of 3 months and a performance-based stipend of up to 10,000.","description_format":"text","description_chars":2657,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-18T20:09:15Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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