{"id":4229807,"url":"https://alion.io/job/novartis-analyst-data-science","title":"Analyst- Data Science","company":{"id":5824,"name":"Novartis","domain":"novartis.com","url":"https://alion.io/company/novartis","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":89,"ghost_share":0,"stale_share":0.618,"repost_share":0.056,"time_to_fill_p50_days":25,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Analytics","role_family":"Analytics","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"NLP","optional":true},{"name":"Pandas","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true},{"name":"Time Series","optional":true}],"status":"live","first_seen_at":"2026-11-13T09:22:22Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T09:22:22Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Description Summary\nThe AI and Data Science Operations team at BSI Insights supports better decision making at Novartis by using data to generate actionable insights and improve performance. We work with international business units to solve complex problems, develop analytical strategies, apply engineering and machine learning methods, and automate processes for efficiency.Our team values collaboration and continuous learning, partnering closely with stakeholders across diverse regions to ensure our solutions align with specific business needs. Our work not only drives innovation but also empowers teams throughout Novartis to make informed, impactful decisions based on real-world data.\nJob Description\nKey Responsibilities\nBuild and deliver predictive, classification, machine learning, and statistical models for commercial pharma analytics projects.\nAnalyze large datasets from sources such as claims, sales, promotions, and other commercial data to generate actionable insights.\nSupport analytics projects across multi-channel marketing analytics, targeting and segmentation, predictive analytics, resource allocation, optimization, and ad-hoc business requests.\nWork closely with senior associates and internal stakeholders to translate business problems into analytical solutions.\nSupport process improvements, automation, documentation, SOPs, and quality checklists to ensure consistent and high-quality delivery.\nContribute to the exploration and integration of emerging AI technologies, including Generative AI and LLMs.\nManage project delivery with structured communication, documentation, and timely stakeholder updates.\nEssential Requirements\nMinimum 2 years of experience in data science, preferably within pharmaceutical, healthcare, life sciences, or analytics domains.\nStrong understanding of statistics, predictive analytics, machine learning, and deep learning algorithms.\nHands-on experience in programming languages such as Python, R, or PySpark.\nExperience in analyzing large and complex datasets from multiple sources.\nStrong problem-solving skills with the ability to develop practical and creative analytical solutions.\nGood verbal and written communication skills with the ability to present insights and solutions to stakeholders.\nAbility to work independently as an individual contributor and collaborate effectively across teams and time zones.\nDesirable Requirements\nExperience working with pharma or healthcare datasets such as claims, sales, promotions, targeting, segmentation, or marketing analytics data.\nExposure to commercial pharma analytics, multi-channel marketing analytics, resource allocation, or optimization projects.\nKnowledge or hands-on exposure to Generative AI, LLMs, or emerging AI technologies.\nExperience in process improvement, automation, SOP creation, quality checks, or project documentation.\nRelevant certifications in Data Science, Machine Learning, AI, Python, R, PySpark, Cloud Analytics, or Generative AI would be an added advantage.\nEducation\nAny Full-time Graduate.\nSkills Desired\nArtificial Intelligence (AI), Biostatistics, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Generative AI, Graph Algorithms, Learning Agility, Logistic Regression Models, Machine Learning (ML), Machine Learning Algorithms, Neuro-Linguistic Programming (NLP), Pandas Python Library, Python (Programming Language), R Programming, Statistical Analysis, Structured Query Language (SQL), Time Series 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