Manager Data Science (Gen)AI

Simon-kucher Recruitment
Madrid, Spain
18 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
4 years minimum
Working hours
Regular working hours
Languages
English, Spanish

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Bioinformatics Cloud Database Information Engineering Extract Transform Load (ETL) Decision Support Systems Python (Programming Language) Machine Learning NoSQL Software Deployment
+8 more
SQL Databases Unstructured Data Google Cloud Data Storage Technologies Large Language Models Generative AI AI Platforms Information Technology

Job description

  • You will help leading pharmaceutical, biotech, medtech, and healthcare organizations unlock value from data by designing and implementing advanced analytics, AI, and Generative AI solutions.
  • You will extract, process, and analyze complex structured and unstructured datasets across the life sciences value chain, including commercial, medical, patient, market, and R&D data.
  • You will leverage your technical expertise to develop, test, and deploy machine learning and Generative AI solutions that address critical business challenges and support data-driven decision making.
  • You will combine advanced analytics, machine learning, and Large Language Models (LLMs) to generate actionable insights, automate knowledge-intensive processes, and accelerate business outcomes for life sciences clients.
  • You will translate business questions into analytical approaches and AI use cases, ensuring that results are robust, scalable, and aligned with real-world impact.
  • You will take ownership of workstreams, collaborate closely with client stakeholders, and communicate technical findings in a clear and business-relevant way.
  • You will present analyses, AI solutions, and strategic recommendations to client teams and senior executives.
  • You will contribute to the development of innovative offerings at the intersection of data science, Generative AI, and life sciences.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Economics, Bioinformatics, Life Sciences, or a related quantitative field.
  • Fluency in Spanish and English, with strong written and verbal communication skills in both languages.
  • 4-6 years of experience in Data Science, Machine Learning, AI, or Advanced Analytics.
  • Strong experience developing, deploying, and scaling machine learning models using Python or similar technologies.
  • Solid understanding of AI and machine learning methodologies, including tree-based methods, Bayesian approaches, and modern Generative AI technologies.
  • Hands-on experience applying Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, or related GenAI frameworks to solve business challenges.
  • Familiarity with cloud-based data and AI platforms (e.g., AWS, Azure, GCP) and their services for data storage, compute, automation, machine learning, and application deployment.
  • Knowledge of relational, SQL, and NoSQL databases, as well as data engineering and ETL/ELT processes.
  • Strong analytical and problem-solving skills, with the ability to translate complex data into actionable business insights.
  • Excellent communication and stakeholder management skills, with the ability to explain technical concepts to both technical and non-technical audiences.
  • Proactive, entrepreneurial, and collaborative mindset, with a passion for leveraging data and AI to solve complex business challenges.
  • Experience in consulting is a strong plus.
  • Experience in pharma, medtech or consumer health is a strong plus, including familiarity with industry data, business processes, and challenges across pricing, market access and commercial functions.

Benefits & conditions

  • Unlock the power of opportunity. Advance your career in a thriving company that creates positive impact. We invest in your professional development every step of the way.
  • Enjoy balance and flexible working. Be empowered to do your best work - whether it’s remotely or in the office. We offer flexible and hybrid working, remote teaming, sabbaticals, and paid time off.
  • Prioritize your health and wellbeing. No matter where you live, we offer a competitive suite of health benefits to help keep you and your loved ones safe.
  • Work in a values-driven culture. At Simon-Kucher, our vision is to become the world’s leading growth specialist. Our values guide the way we do business and communicate our distinctiveness. They sum up what we stand for, influence our culture, and drive how and why we do things.

About the company

Simon-Kucher is a global consultancy with more than 2,200 employees in 30+ countries.

Our sole focus is on unlocking better growth that drives measurable revenue and profit for our clients.

As a trusted commercial advisor, we combine deep consulting expertise, growth specialization, and technology to scale impact.

We optimize every lever of commercial strategy - product, pricing, innovation, marketing, sales, and digital - based on deep insights into what customers value and are willing to pay for.

With over 40 years of experience in monetization, we are regarded as the world’s leading commercial growth and pricing specialist.

simon-kucher.com

We believe in building a culture that embraces diversity, equity, and inclusion, creating an environment in which our people feel valued, are able to be themselves and feel their contribution matters.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.jobleads.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:37 min

Comparing traditional SQL tables versus NoSQL non-tabular databases

Stanimira Vlaeva · JS Congress

2:36 min

Choosing between managed AI platforms and custom governance

Péter Farkas Péter Farkas · Europe 2026 Virtual

6:10 min

Unlocking free learning credits via Google Cloud Innovators

Asrar Asrar · WWC 2024

3:14 min

Structuring career paths and localized data architectures

Ulrich Wurstbauer +1 · LIVE

3:16 min

Terminology differences between relational and NoSQL databases

Tim Faulkes · LIVE

Videos

See all

Related articles

See all