Senior Data Scientist /AI Engineer(Pharmaceutical Sector)

• Design and maintain multi-agent architectures for triage and decision support.
• Develop and refine machine learning models to assess and score incidents.
• Integrate and orchestrate various tools and agents to automate and enrich the triage process.
• Collaborate with project teams to ensure effective implementation and alignment with project goals.
• Document system logic, workflows, and findings for stakeholders.

Do you have experience in Salesforce?, * Proven experience designing, building, and deploying agent-based AI systems, including orchestration of multiple agents and integration with diverse tools, protocols (e.g., MCP), and data sources.

• Hands-on expertise with large language models (LLMs), Retrieval-Augmented Generation (RAG), and advanced AI techniques for workflow automation and decision support.
• Deep understanding of agent toolchains, agent orchestration frameworks, and best practices for integrating and scaling agent-based architectures in enterprise environments.
• Strong proficiency in Python and relevant programming languages for developing, integrating, and automating AI solutions.
• Practical experience with containerization and deployment technologies such as Docker and OpenShift; familiarity with MLflow or similar platforms for model lifecycle management is highly valued.
• Demonstrated ability to operationalize and maintain AI agents, including monitoring, troubleshooting, and continuous improvement in production environments.
• Experience integrating agent-based systems with enterprise protocols and APIs, ensuring robust, secure, and scalable solutions.

Organisational skills and competences

• Ability to work effectively with cross-functional teams, including project stakeholders and technical experts.
• Strong written and verbal communication skills to document system designs and present findings to both technical and non-technical audiences.
• Excellent troubleshooting and analytical skills for developing creative solutions to complex challenges.
• Willingness to stay current with industry trends, technologies, and best practices in AI and automation.
• High level of precision in designing, tuning, and evaluating models and agent workflows to ensure reliable outcomes.

Experience

• Minimum of 5 years in data science or related roles.
• Experience in AI engineering roles.
• Demonstrated success in developing and refining agent-based systems and machine learning models for decision support in enterprise environments.

Permanent contract.

• Flexible Schedule. We make it easy. Balance your professional and personal life.
• Trainings & Certifications. Improve your skills and get the official certificate from our main partners.
• Home Office.
• Flexible retribution (public transport ticket, Ticket restaurant, …).
• Health insurance.
• OMEGA in action. Our commitment to a better society is not just an intention.

Omega CRM, a Merkle Company, is a global digital company specialising in accelerating the Business Experience (BX) of our clients through customer-centric solutions, technology, and data - all enhanced by AI. Together with Merkle, we form the largest Customer Experience Management (CXM) agency in Spain, and as part of the dentsu group, we offer end-to-end solutions that integrate media, creativity, content, technology, and strategy to deliver real business impact. With over 23 years of experience, a team of 580+ professionals from 24 nationalities, and 2,500+ certifications, Omega CRM is a recognised leader in the Salesforce ecosystem in Spain. We operate across key industries including Retail, Healthcare, Pharma, Real Estate, Education, and Non-Profit, delivering omnichannel experiences in Customer Service, eCommerce, Marketing, and Analytics. Client satisfaction is at our core (rating: 4.9/5), and we've been recognised with awards such as Salesforce Partner of the Year FY23 and Most Innovative Project (Iberia). At Omega CRM, we believe in growth through people - guided by our values: #Talent, #Flexibility, #Commitment, and #Innovation. We grow #Together.