Snr. Specialists, Data Science & Ai - Data Digital & It

Jobs for Humanity
Laza, Spain
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Laza, Spain

Tech stack

Artificial Intelligence
Apache HTTP Server
Big Data
Data Governance
R
Python
Machine Learning
Spark
Data Management

Job description

Company DescriptionNovartis is an innovative medicines company. Every day, we work to reimagine medicine to improve and extend people's lives so that patients, healthcare professionals and societies are empowered in the face of serious disease. Our medicines reach 296 million people worldwide. We want to create an inclusive workplace where every one of us can be our best and true selves, so that together we can discover more, reach underserved communities and reimagine medicine.Company Name: NovartisJob DescriptionSummaryStep into a role where your expertise in data can drive meaningful change in global healthcare. As a strategic leader in data science, you'll shape innovative solutions using AI, advanced analytics, and smart data management to tackle complex medical challenges. You'll collaborate across diverse teams and business areas, transforming data into powerful insights that influence key decisions. This is your opportunity to lead with purpose, grow in a supportive environment, and make a lasting impact through the work you do every day.About the RoleYou are applying to be part of the Novartis Talent Pool.We are not currently recruiting for this role, but we are building a pipeline for future opportunities. If you would like to be considered for a similar position in the future, then please submit your CV.Key ResponsibilitiesDrive innovation using data science, AI, and effective data management to solve complex business challengesTranslate analytical findings into clear, actionable recommendations for non-technical stakeholdersDevelop and implement pathways for effective data use across analytical functionsPresent insights through smart visualization and storytelling to influence strategic decisionsAllocate team resources efficiently, manage change, and resolve operational risks proactivelyCollaborate with internal teams, external partners, and institutions to deliver impactful solutionsEvaluate and adopt new technologies and tools to enhance data science practices and efficiencyEssential RequirementsMinimum of 5 years of experience in data science, with a strong record of applied analyticsProven expertise in Python and R programming for statistical analysis and machine learningDeep understanding of data governance, data quality, and master data management principlesExperience with big data technologies and platforms, including Apache SparkStrong communication skills to present complex insights to non-technical stakeholdersFluent in English, with the ability to collaborate across global, cross-functional teamsDesirable RequirementsExperience publishing in peer-reviewed journals or presenting at professional conferencesFamiliarity with cross-industry collaboration and external working groupsCommitment to Diversity and Inclusion / EEO:Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.#LI-HybridPrimary Location: Prague, CZOther Locations: Barcelona, SpainRelocation Support: This role is based in Prague, CZ. Novartis is unable to offer relocation support: please only apply if accessible.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?Benefits and Rewards:Learn about all the ways we'll help you thrive personally and professionally.Read our handbook (PDF 30 MB)Data and DigitalCzech RepublicJob IDREQ-********Snr. Specialists, Data Science & AI - Data Digital & ITApply to Job

Requirements

Minimum of 5 years of experience in data science, with a strong record of applied analytics Proven expertise in Python and R programming for statistical analysis and machine learning Deep understanding of data governance, data quality, and master data management principles Experience with big data technologies and platforms, including Apache Spark Strong communication skills to present complex insights to non-technical stakeholders Fluent in English, with the ability to collaborate across global, cross-functional teams Desirable Requirements Experience publishing in peer-reviewed journals or presenting at professional conferences Familiarity with cross-industry collaboration and external working groups

About the company

Novartis is an innovative medicines company. Every day, we work to reimagine medicine to improve and extend people's lives so that patients, healthcare professionals and societies are empowered in the face of serious disease. Our medicines reach 296 million people worldwide. We want to create an inclusive workplace where every one of us can be our best and true selves, so that together we can discover more, reach underserved communities and reimagine medicine., Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve. #LI-Hybrid Primary Location: Prague, CZ Other Locations: Barcelona, Spain Relocation Support: This role is based in Prague, CZ. Novartis is unable to offer relocation support: please only apply if accessible. 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? Benefits and Rewards: Learn about all the ways we'll help you thrive personally and professionally. Read our handbook (PDF 30 MB) Data and Digital

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