{"id":2776620,"url":"https://alion.io/job/thinknovaa-data-science-intern","title":"Data Science Intern","company":{"id":4442789,"name":"thinknovaa","domain":"thinknovaa.com","url":"https://alion.io/company/thinknovaa","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"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":["India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":7500,"max_usd":14500,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":710},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"Matplotlib","optional":true},{"name":"Scikit-learn","optional":true},{"name":"Seaborn","optional":true},{"name":"SQL","optional":true},{"name":"WhatsApp","optional":true}],"status":"live","first_seen_at":"2026-09-30T02:22:56Z","employer_posted_date":null,"last_verified_at":"2026-09-30T02:22:56Z","board_verified":false,"closed_at":null,"days_open":17,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":17},"description":"Data Science Intern\n\nCompany: Thinknovaa\nLocation: Remote\nDuration: Up to 6 months\nBatch Start Date: 1st October\n\nAbout the Program\n\nAt Thinknovaa, we're doing things differently. This isn't a traditional job or a standard internship—it's an open collaboration program designed for aspiring data scientists to gain hands-on, real-world experience. If you are self-taught, a student, or transitioning careers, this is a space for you to work with real-world datasets, build practical machine learning projects, strengthen your portfolio, and learn by doing alongside our team.\n\nWhat You'll Do\n\nWork with Real Data: Collect, clean, preprocess, and explore datasets to identify meaningful patterns and relationships.\n\nExplore & Analyze: Perform exploratory data analysis (EDA) using Python, Pandas, NumPy, and visualization libraries.\n\nBuild Machine Learning Models: Develop and experiment with basic machine learning models for classification, regression, clustering, and prediction problems.\n\nFeature Engineering: Prepare and transform data to improve the performance and reliability of machine learning models.\n\nEvaluate Models: Test model performance using appropriate evaluation metrics and communicate the results clearly.\n\nShare Insights: Translate technical findings into practical insights and explain what the data and models mean for real-world problems.\n\nWho You Are\n\nPassionate about data, technology, and problem-solving, with a strong eagerness to learn—no specific degree required.\n\nComfortable with Python fundamentals and familiar with libraries such as Pandas and NumPy.\n\nHave a basic understanding of statistics, probability, and data analysis concepts.\n\nFamiliar with foundational machine learning concepts and algorithms.\n\nBonus points: If you have experience with Scikit-learn, Matplotlib, Seaborn, SQL, or have previously built machine learning projects.\n\nCurious, analytical, driven, and comfortable asking questions and experimenting with new approaches.\n\nWhat You Get\n\nRemote & Flexible: Contribute from anywhere, on a schedule that works for you.\n\nReal Portfolio Projects: Work on practical data science and machine learning projects that you can showcase to future employers.\n\nDirect Mentorship: Get feedback, guidance, and practical learning support from our core team.\n\nHands-On Experience: Gain exposure to the complete data science workflow—from data preparation and analysis to model development and evaluation.\n\nProof of Impact: Receive a certificate of completion and a strong letter of recommendation for active contributors.\n\nApplication Deadline : 26th September\n\nFill out the application form and join our WhatsApp community for the joining process.","description_format":"text","description_chars":2686,"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":["Artificial Intelligence","Information Technology"],"lifecycle":[{"event":"open","at":"2026-10-17T07:43:17Z"}],"visa":[],"liveness":{"score":46,"band":"ok","label":"Likely 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