Senior Data Scientist

  • Jornada Completa
  • LinkedIn
  • Madrid


Senior Data Scientist

Acerca del empleo

Join us on our exciting journey!

IQVIA™ is The Human Data Science Company™, focused on using data and science to help healthcare clients find better solutions for their patients. Formed through the merger of IMS Health and Quintiles, IQVIA offers a broad range of solutions that harness advances in healthcare information, Technology, analytics and human ingenuity to drive healthcare forward.

Data Science & Advanced Analytics

Data Science & Advanced Analytics – with departments in Frankfurt, Philadelphia, Beijing and Warsaw as well as a network of over 150 team members worldwide – is the global competence centre for data science at IQVIA. Complex advanced analysis at the highest level are conceptualized and implemented to support international customers in the pharmaceutical industry – often within multinational projects. As a member of our team you can expect exciting international projects with interesting development perspectives.

Senior Data Scientist, Data Science & Advanced Analytics– the role

Development of machine learning and data mining technologies

Selection and application of machine learning techniques, in connection with Pharma Big Data to identify complex patterns

Development and execution of advanced analytics in the area of Commercial Effectiveness and Real World Evidence in collaboration with European local offices

Delivery of high quality recommendations involving marketing mix optimisation, pricing strategies and discount modelling applied to plethora data sources with different granularities (nation, regional, pharmacy/HCP level)

Development of innovative methodologies to deliver custom solutions

Working with technology teams to support machine-learning algorithms in big data platforms

Our ideal candidate will have:

Master degree in Mathematics/Statistics, Economics/Econometrics, Computer Science or related field

At least 3-4 years of professional experience in quantitative data analysis

Experience in multichannel marketing and/or pricing optimisation strategies (media agencies, retail / FMCG, market research)

Very good knowledge and in depth understanding of Econometrics and Machine Learning methods

Experience applying Econometrics and Machine Learning methods to business questions

Very good knowledge of the higher statistical and econometric methods in theory and practice

Experience with handling Big Data

Proficient in R and/or Python

Excellent communication skills (written and oral) including technical aspects of a project, ability to develop usable documentation, results interpretation and business recommendations

Local language skills to an advanced level (spoken and written), with complete fluency in English.

Strong analytic mindset and logical thinking capability, strong QC mindset

Demonstrates consulting, creativity, critical thinking, project planning, and attention to detail capabilities

Knowledge of pharmaceutical market and experience with pharmaceutical data (medical, hospital, pharmacy, claims data) would be a plus, but not a must

We know that meaningful results require not only the right approach but also the right people. Regardless of your role, we invite you to reimagine healthcare with us. You will have the opportunity to play an important part in helping our clients drive healthcare forward and

Whatever your career goals, we are here to ensure you get there!

We invite you to join IQVIA™.

At IQVIA, we believe in pushing the boundaries of human science and data science to make the biggest impact possible – to help our customers create a healthier world. The advanced analytics, technology solutions and contract research services we provide to the life sciences industry are made possible by our 70,000+ employees around the world who apply their insight, curiosity and intellectual courage every step of the way. Learn more at

Contactar al anunciante de empleo

Perfil del anunciante de empleo

Ellis Devlin 

Talent Acquisition Manager at IQVIA – A Human Data Science Company

Por favor, para apuntarte a este trabajo visita