{"id":2996483,"url":"https://alion.io/job/eli-lilly-and-company-data-scientist-technical-services-manufacturing-sciences","title":"Data Scientist – Technical Services & Manufacturing Sciences","company":{"id":1753780,"name":"Eli Lilly and Company","domain":"lilly.com","url":"https://alion.io/company/lilly-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":59,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":28,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","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":{"min_usd":23000,"max_usd":46000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":71},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GMP","optional":false},{"name":"JMP","optional":false},{"name":"LIMS","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Smartsheet","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-09-09T00:00:00Z","employer_posted_date":"2026-09-09","last_verified_at":"2026-10-23T23:18:45Z","board_verified":true,"closed_at":null,"days_open":45,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":45},"description":"At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work-but it’s work worth doing. If you’re driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.\nData Scientist - Technical Services & Manufacturing Sciences (TSMS)\nCompany Overview\nLilly, a leading innovation-driven corporation is developing a growing portfolio of pharmaceutical products by applying the latest research from its own worldwide laboratories and from collaborations with eminent scientific organizations. Headquartered in Indianapolis, Indiana, Lilly makes life better - through medicines and information - for some of the world’s most urgent medical needs. Founded over 145 years ago, the company has sustained a culture that values excellence, integrity and respect for people. This has resulted in Lilly frequently being ranked as one of the best companies in the world at which to work. Lilly knows its business has prospered because of its employees - people with a talent for innovation and a passion for making a difference by finding treatments for the most stubborn diseases; people whose talent is matched by their generosity, and people with strong values and a determination to prevail, regardless of the challenges. Join our team - and make a difference in improving health for people all over the world!\nManufacturing and Quality Technical Hub Hyderabad\nLilly has made a strategic investment of more than $1B dollars to establish a Manufacturing and Quality technical hub. This hub will oversee the significant investment in contract manufacturing of starting materials and intermediates for API manufacturing in India and the technical services responsible for managing the scientific agenda for manufacturing and quality. The hub will be recruiting top talent in the areas of process engineering, chemistry, analytical and data sciences to build a cutting-edge scientific organization supporting the exciting manufacturing portfolio of Lilly.\nRole Overview:\nThe Data Scientist - TSMS is responsible for delivering advanced analytics, predictive modelling, and digital innovation to support manufacturing and development processes across pharmaceutical operations. This role enables data-driven decision-making, process optimization, and compliance by partnering with global teams, site SMEs, and IT/digital functions. The Data Scientist manages analytics solution delivery, supports digital transformation, and ensures alignment with regulatory and business objectives.\nKey Responsibilities:\nBuild, validate, and maintain multivariate statistical models (e.g., PCA/PLS) for real-time process monitoring\nLead development and deployment of predictive models and multivariate analytics for process monitoring, anomaly detection, and performance optimization\nCollaborate with cross-functional teams (manufacturing, R&D, quality, IT) to design and implement data-driven solutions\nWork with Information Technology teams at Lilly to deliver secure, scalable analytics products (dashboards, data products, model services) and manage project interdependencies\nSupport integration and harmonization of data across PLM, MES, LIMS, ERP, and analytics platforms\nEnsure data quality, integrity, and compliance with GMP and regulatory standards\nFacilitate knowledge transfer, training, and adoption of analytics solutions across global teams\nTrack and report analytics project progress, risks, and outcomes to leadership and stakeholders\nPartner with technical teams to resolve data gaps, inconsistencies, and support validation activities\nLeverage data visualization and reporting tools (Power BI, Tableau, Seeq) for actionable insights\nIdentify and implement process improvements and automation opportunities for digital transformation\nMaintain documentation, best practices, and knowledge repositories for analytics solutions\nMonitor adoption KPIs, gather user feedback, and drive continuous improvement in analytics capabilities\nRequired Skills and Experience\nTechnical and Functional Skills:\nProficient in statistical modeling, machine learning, coding languages, and predictive analytics (Python, R, SIMCA, JMP)\nExperienced in data integration, data quality assurance, and digital solution delivery\nSkilled in data visualization and reporting (Power BI, Tableau, Smartsheet)\nKnowledgeable in GMP, data integrity, and regulatory compliance.\nExperience working in Pharmaceutical manufacturing, Research & Development or other similar scientific environments\nStrong problem-solving, analytical, and detail-oriented mindset\nEffective communicator with experience working in global, cross-functional teams\nAbility to communicate complex insights to both technical and non-technical stakeholders\nChange-oriented and proactive in driving digital transformation\nPractical problem-solver who can work independently and within cross-functional teams; skilled at stakeholder management and communication\nFamiliarity with cloud analytics (Azure/AWS), data pipelines, and APIs; experience with NLP for unstructured manufacturing knowledge is a plus\nEducation & Experience:\nMaster’s or Ph.D. in Data Science, Statistics, Engineering, Life Sciences, or related field\n5- 18 years of experience in data science, analytics, or digital deployment in pharmaceutical or life sciences industry\nExperience in pharmaceutical GMP operations and TSMS or process development; strong understanding of manufacturing unit operations and process monitoring concepts\nAdditional Information:\n10 - 20% travel may be required\nSome off-shift work (night/weekend) may be required to support 24/7 operations across global supplier network\nLilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.\nLilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.\n#WeAreLilly","description_format":"text","description_chars":6824,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Prescription Drugs","Oncology Therapeutics","Cardiometabolic Therapeutics"],"lifecycle":[{"event":"open","at":"2026-10-21T11:06:42Z"}],"visa":[],"liveness":{"score":18,"band":"cold","label":"Long shot","p_open":1,"p_active":0.509,"p_room":0.36,"age_days":44,"expected_fill_days":28,"reasons":["conf:4","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-23T05:54:15Z"},"pay":null,"html_url":"https://alion.io/job/eli-lilly-and-company-data-scientist-technical-services-manufacturing-sciences","json_url":"https://alion.io/job/eli-lilly-and-company-data-scientist-technical-services-manufacturing-sciences.json","meta":{"generated_at":"2026-10-24T03:12:50Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":5023,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-25T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1753780},"rest":"https://alion.io/mcp/rest/get_company?id=1753780"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Feli-lilly-and-company-data-scientist-technical-services-manufacturing-sciences"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Feli-lilly-and-company-data-scientist-technical-services-manufacturing-sciences"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Feli-lilly-and-company-data-scientist-technical-services-manufacturing-sciences"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/eli-lilly-and-company-data-scientist-technical-services-manufacturing-sciences\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Feli-lilly-and-company-data-scientist-technical-services-manufacturing-sciences"}]}