¡Activa las notificaciones laborales por email!
A leading pharmaceutical company in Spain is looking for an AI Data Scientist to join their Applied AI Team. This role involves developing and implementing advanced analytics solutions in various business units, requiring strong statistics and machine learning skills, as well as Python programming proficiency. The ideal candidate will possess expertise in data visualization and have the ability to communicate complex insights to both technical and non-technical stakeholders. Benefits include a permanent contract, flexible hours, life insurance, wellness programs, and development opportunities.
Social network you want to login/join with:
Exciting Opportunity at Insud Pharma: We're Hiring an AI Data Scientist!
Are you passionate about artificial intelligence and data science? Do you want to make a significant impact in the pharmaceutical industry? Join our innovative team at Insud Pharma as an AI Data Scientist and help us revolutionize healthcare with cutting-edge technology.
Want to know more? ?
INSUD PHARMA operates across the entire pharmaceutical value chain, providing specialized knowledge and experience in scientific research, development, manufacturing, sales, and marketing of a wide range of active pharmaceutical ingredients (API), finished dosage forms (FDF), and branded pharmaceutical products, adding value to human and animal health.
The activities of INSUD PHARMA are organized into three synergistic business areas: Industrial (Chemo), Branded (Exeltis), and Biotech (mAbxience), with over 9,000 professionals in more than 50 countries, 20 state-of-the-art facilities, 15 specialized R&D centers, 12 commercial offices, and more than 35 pharmaceutical subsidiaries, serving 1,150 customers in 96 countries worldwide. INSUD PHARMA believes in innovation and sustainable development.
Ready to be a #Challenger?
What are we looking for? ?
We are seeking a highly skilled Data Scientist to join our Applied AI Team. The ideal candidate will have a strong background in statistics, machine learning, and data analysis, with experience working in cross-functional teams.
As a Data Scientist at AI Labs, you will be tasked with developing and implementing advanced analytics and machine learning solutions across business units within our company, including Regulatory, Business Intelligence, Clinical Trials, and Drug Manufacturing.
The ideal candidate will be responsible for extracting valuable insights from complex datasets, developing predictive models, and collaborating with engineers and product owners to integrate AI solutions into our products and processes.
The challenge!
What do you need?
Flexible start time from Monday to Friday
? Permanent contract.
? Life and accident insurance.
? Training and language learning platform
??️ Wellness platform with unlimited free psychologist sessions
? Cabify transportation service for employee use
? Development plans, internal mobility policy.
What will the Selection process be like? ?️
️ Stay tuned to your phone and email! The first thing we will likely do is contact you through one of the two channels.
️ Prepare well! We will continue with an in-person/virtual interview depending on availability and what we agree upon; there may be one or two interviews in the process, and depending on the type of process, there may also be some kind of test.
️ Wait for the result! We care that you feel guided throughout each selection process and know what to expect from us, so we will always try to inform you of the status of the process.
? Do you think this offer is not for you? ?
Follow us on social media like LinkedIn/Instagram and stay tuned for any offers we may release; the opportunity to be a new Insuder is waiting!
COMMITMENT TO EQUAL OPPORTUNITIES
The InsudPharma group is aware that business management must align with the needs and demands of society, and therefore assumes the commitment to equal opportunities and treatment between men and women, as stated in the current regulations on the matter - Organic Law 3/2007, and we do not discriminate against any person on the grounds of ethnicity, religion, age, sex, nationality, marital status, affective or sexual orientation, gender identity or expression, disability, or any other personal or social circumstance.