Overview Company Description EVERSANA INTOUCH is a leading full-service, global healthcare agency serving the life sciences and pharmaceutical industries. We provide next-generation creative and media services, enterprise solutions and data analytics services for clients. We combine the power of world-class creative and digital teams with deep market access, payer, and healthcare communications expertise to provide innovative solutions to life science companies that want to connect with consumers, healthcare professionals, and payers. We get fired up when people talk about getting—and staying—healthy. That’s where we find our inspiration: in the very human experiences of patients, doctors, and even each other. Then, we collaborate on ways to make caring for one’s health more achievable, connecting patients and physicians with the information and tools they need. And as a part of EVERSANA, a pioneer in next-generation commercial services, we connect dots that other agencies can’t, helping drive commercialization success. Our nine affiliates within the EVERSANA INTOUCH Network include EVERSANA INTOUCH Solutions, EVERSANA INTOUCH Proto, EVERSANA INTOUCH Seven, EVERSANA INTOUCH Oxygen, EVERSANA INTOUCH Healthware, EVERSANA INTOUCH Medical Communications, EVERSANA INTOUCH Market Access, EVERSANA INTOUCH Media and EVERSANA INTOUCH TTC. Responsibilities Support in the collection, cleaning, and transformation of structured and unstructured datasets. Assist in developing, testing, and evaluating predictive and generative models. Contribute to the prototyping of LLM-based applications, including chatbots, copilots, or information retrieval systems. Collaborate with cross-functional teams on applied AI use cases. Document workflows, results, and findings for internal reports or external dissemination. Work under the supervision of senior data scientists or AI researchers to execute well-defined tasks. Ensure reproducibility and code quality in data workflows and model development. Keep up to date with recent advancements in generative AI, LLM architectures, and agent-based frameworks. Translate business or research questions into analytical problems and propose data-driven solutions. Maintain ethical standards and data privacy principles in all stages of analysis and modeling. Demonstrate a commitment to diversity, equity, and inclusion through continuous development, modeling inclusive behaviors, and proactively managing bias. All other duties as assigned. Qualifications MINIMUM KNOWLEDGE, SKILLS AND ABILITIES The requirements listed below are representative of the experience, education, knowledge, skill and/or abilities required. Programming Languages: Python (mandatory), R, SQL; familiarity with Git and Jupyter notebooks. Data Analysis & Visualization: Pandas, NumPy, matplotlib, Plotly, Excel, PowerBI Machine Learning: Basic understanding of supervised and unsupervised learning; initial experience with Scikit-learn, XGBoost, or similar libraries. LLM/RAG: Introductory knowledge of transformer-based models (e.g., BERT, GPT). Familiar with using LLM APIs (e.g., OpenAI, HuggingFace) for text generation, classification, summarization. Exposure to prompt engineering and fine-tuning workflows. Experience integrating RAG pipelines using tools such as LangChain, or LlamaIndex. Databases: Familiar with SQL (PostgreSQL, MySQL) and possibly exposure to NoSQL systems (MongoDB). Cloud & Tools (optional): Exposure to platforms like AWS, Azure, or GCP; basic use of Docker is a plus. Version Control: Basic proficiency with Git/GitHub. Strong analytical mindset with attention to detail. Comfortable working in cross-functional teams and under the mentorship of senior data scientists. Effective communicator of technical findings to both technical and non-technical audiences. Fluent English (B2/C1). Preferred Qualifications Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, or related fields. Solid foundation in probability, statistics, linear algebra, machine learning, and natural language processing. Optional coursework or certifications in Data Analytics, Artificial Intelligence, or Big Data technologies. 2-3 years of experience in related fields. Academic projects or thesis involving data preprocessing, exploratory analysis, model development or language processing. Experience presenting insights through dashboards, written reports, or oral presentations. Our Cultural Beliefs Patient Minded I act with the patient’s best interest in mind. Client Delight I own every client experience and its impact on results. Take Action I am empowered and hold myself accountable. Embrace Diversity I create an environment of awareness and respect. Grow Talent I own my development and invest in the development of others. Win Together I passionately connect with anyone, anywhere, anytime to achieve results. Communication Matters I speak up to create transparent, thoughtful, and timely dialogue. Always Innovate I am bold and creative in everything I do. Additional Information Our team is aware of recent fraudulent job offers in the market, misrepresenting EVERSANA. Recruitment fraud is a sophisticated scam commonly perpetrated through online services. EVERSANA would never require personal information nor payment of any kind during the employment process. We respect the personal rights of all candidates looking to explore careers at EVERSANA. Diversity, Equity & Inclusion are key to our success. We are an Equal Opportunity Employer, and our employees are people with different strengths, experiences, and backgrounds who share a passion for improving the lives of patients and leading innovation within the healthcare industry. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion, and many other parts of one’s identity. All of our employees’ points of view are key to our success, and inclusion is everyone’s responsibility. Job Details Seniority level: Entry level Employment type: Full-time Job function: Not specified Industries: Pharmaceutical Manufacturing and Hospitals and Health Care J-18808-Ljbffr