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Expert Data Science

Novartis AG

  • East Hanover, NJ
  • 14 days ago
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    Skills

    • Adobe Acrobatunmatched
    • Analysis Skillsunmatched
    • Artificial Intelligence (AI)unmatched
    • Artificial Intelligence (AI) Programming Languagesunmatched
    • Business Skillsunmatched
    • Communication Skillsunmatched
    • Computer Scienceunmatched
    • Data Analysisunmatched
    • Data Modelingunmatched
    • Data Scienceunmatched
    • Data Setsunmatched
    • Diseaseunmatched
    • Diversityunmatched
    • Emerging Technologyunmatched
    • English Languageunmatched
    • Financeunmatched
    • Financial Planningunmatched
    • Forecastingunmatched
    • Legalunmatched
    • Machine Learningunmatched
    • Mathematicsunmatched
    • Modeling Languagesunmatched
    • Performance Analysisunmatched
    • Performance Managementunmatched
    • Predictive Modelingunmatched
    • Python Programming/Scripting Languageunmatched
    • Reporting Dashboardsunmatched
    • Requirements Managementunmatched
    • SQL (Structured Query Language)unmatched
    • Scalable System Developmentunmatched
    • Statistical Modelingunmatched
    • Statisticsunmatched

    Description

    Job ID

    REQ-10083771

    Jul 21, 2026

    Spain

    Available in: English

    Summary

    #LI-HybridLocation: Barcelona, SpainRelocation Support: This role is based in Barcelona, Spain. Novartis is unable to offer relocation support: please only apply if accessible.As an Expert Data Science within Novartis Digital Finance, you will build innovative analytics and AI solutions that help transform planning, forecasting, performance management, and decision-making across a global organization. Working at the intersection of Finance, data science, machine learning, and emerging AI technologies, you will turn complex data into meaningful insights, develop scalable solutions with measurable business impact, and help drive the next generation of intelligent Finance capabilities. If you are passionate about solving complex challenges, delivering real business value, and exploring the possibilities of Generative AI and advanced analytics, this is an opportunity to make a meaningful difference.

    About the Role

    Key ResponsibilitiesDesign and deploy data science and artificial intelligence solutions that enhance finance planning and decision-making.Develop predictive, prescriptive, and machine learning models that generate actionable business insights.Transform complex business challenges into scalable analytics products, models, dashboards, and recommendations.Collaborate with Finance stakeholders to identify high-value opportunities and drive solution adoption.Prepare, validate, and optimize enterprise datasets to support analytics, reporting, and artificial intelligence initiatives.Implement model monitoring, governance, and Responsible Artificial Intelligence practices across solution lifecycles.Contribute to Generative Artificial Intelligence, large language model, retrieval-augmented generation, and Agentic Artificial Intelligence initiatives.Essential RequirementsBachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Artificial Intelligence, or a related field.2-5 years of experience in data science, machine learning, advanced analytics, or applied artificial intelligence.Proficiency in Python and SQL for data analysis, model development, and scalable solution delivery.Strong knowledge of statistics, predictive modeling, forecasting, machine learning, and model evaluation techniques.Experience translating business requirements into analytical solutions with measurable business impact.Ability to communicate complex analytical findings clearly to technical and non-technical stakeholders.Desirable RequirementsExperience applying data science, forecasting, planning, or performance analytics within Finance or similar business functions.Exposure to Generative Artificial Intelligence, large language models, retrieval-augmented generation, or Agentic Artificial Intelligence frameworks.We are looking to fill 2 roles.Commitment to Diversity & Inclusion Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.

    Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients' lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-cultureBenefits and Rewards: Learn about all the ways we'll help you thrive personally and professionally.Read our handbook (PDF 30 MB)

    Primary location salary range

    €35,000.00 - €65,000.00

    Division

    Finance

    Business Unit

    Finance

    Location

    Spain

    Site

    Barcelona Gran Vía

    Company / Legal Entity

    ES06 (FCRS = ES006) Novartis Farmacéutica, S.A.

    Functional Area

    Data and Digital

    Job Type

    Full time

    Employment Type

    Regular

    Shift Work

    No

    Data and Digital Finance Spain

    Job ID

    REQ-10083771

    Expert Data Science

    Apply to Job

    Job ID

    REQ-10083771

    Expert Data Science

    Apply to Job

    Numbers & Facts

    LocationEast Hanover, NJ
    IndustryBiotechnology/Pharmaceuticals
    Company Size10,000 employees or more
    Year Founded1996

    About Company

    Novartis provides healthcare solutions that improve and extend people’s lives. We use science-based innovation to address some of society’s most challenging healthcare issues. We discover and develop breakthrough treatments and find new ways to deliver them to as many people as possible. Our company is focused on industry-leading divisions with innovation power and global scale: pharmaceuticals, eye care and generic medicines Novartis is headquartered in Basel, Switzerland. Novartis Group companies employ approximately 120,000 associates and its products are available in more than 180 countries around the world.

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